Endoscopy, Pancreas, & Biliary Tract

Dear colleagues,

As gastroenterologists and endoscopists, we spend significant time preventing and diagnosing GI malignancies. While colorectal and esophageal cancer and their precursor lesions are well known to us, our approach to rarer malignancies is less well defined.

For instance, is it worthwhile screening for pancreatic cancer, and, if so, how should this be done? Likewise, diagnosing cholangiocarcinoma is challenging; how best should one evaluate for this in higher risk populations, such as primary sclerosing cholangitis? And what about the costs, financial and otherwise, associated with screening?

An Approach to Pancreatic Cancer Screening

BY DANIEL A. BERNSTEIN, MD, AND DARSHAN KOTHARI, MD

Pancreatic cancer carries a dismal prognosis, now accounting for the third-most cancer-related mortality in the United States. A small proportion of patients are diagnosed at a local stage of disease, with over half found to have metastatic disease at presentation. Given the low overall incidence and lifetime risk in the general population, population-based screening is not justified.

About 10% of cases of pancreas cancer are associated with germ-line mutations and/or with a strong family history of pancreatic cancer. Several academic societies and expert committees now recommend regular screening for pancreatic cancer in patients who are considered high-risk individuals, as they carry a fivefold relative risk for pancreatic cancer. Moreover, studies suggest that screening has the potential to identify early-stage resectable disease and decrease mortality in this patient population.

Duke University

Patients who benefit from pancreatic cancer screening are those who carry an increased lifetime risk (in excess of 5%) of pancreatic cancer. High-risk individuals include those with germ-line mutations and/or those with a family history of pancreatic cancer in first-degree relatives. Consensus guidelines by the International Cancer of the Pancreas Screening Consortium and the American Society for Gastrointestinal Endoscopy provide medical centers with detailed recommendations on who and when to start screening.

High-risk individuals fall into three categories:

• Patients with high-risk germline mutations including: familial atypical multiple mole melanoma syndrome (CDKN2A), hereditary breast and ovarian cancer syndromes (BRCA1, BRCA2, and PALB2), Peutz-Jeghers syndrome (STK11), and hereditary pancreatitis (PRSS1 and SPINK1)
• Patients with low- to moderate-risk germ-line mutations with at least one first-degree relative with pancreatic cancer: Lynch Syndrome (particularly MLH1 mutation), ataxia-telangiectasia (ATM), or Li-Fraumeni syndrome (p53)
• Patients with one first-degree relative with pancreatic cancer who in turn has one first-degree relative with pancreatic cancer (eg, a patient’s mother and maternal aunt or a patient’s father and patient’s sister)

Consistent with established guidelines, we recommend screening for high-risk patients beginning at age 50, or 10 years before the youngest age at which pancreas cancer was diagnosed in an affected relative. Screening is recommended earlier in patients with particularly high risk: at age 40 for patients with CDKN2A and STKI11 mutations and age 40 for patients with PRSS1 mutation or 20 years after the first attack of acute pancreatitis. For patients with a strong family history of pancreas cancer, we recommend comprehensive evaluation by a certified genetic counselor at a high-volume cancer center.

Duke University

In practice, patients at our institution who are identified as high risk based on the above criteria are referred for an initial consultation at our pancreas center. In most cases, this should occur no sooner than 5 years prior to the recommended starting age for screening. All patients who are identified as high risk should be screened annually for diabetes given the growing evidence base supporting an association between new-onset diabetes and pancreatic cancer.

After an initial visit and discussion of the risks and benefits of screening, most screening protocols start with a baseline endoscopic ultrasound (EUS) and contrast-enhanced magnetic resonance abdomen with magnetic resonance cholangiopancreatography (MRI/MRCP), which will be repeated annually or sooner as the clinical condition warrants. A sooner-interval EUS should be considered for patients already undergoing screening who are newly found to have diabetes.

At our institution, we start with an in-person clinic evaluation followed by EUS. Thereafter, patients undergo MRI/MRCP (synchronized with a same-day clinic visit) alternating with EUS every 6 months to ensure patients are seen twice a year, though there is no specific data to support this approach. Non-diabetics also undergo yearly diabetes screening which will trigger an EUS if patients become diabetic.

We engage in shared decision-making with our high-risk individuals undergoing pancreatic cancer screening and at each visit we review their concurrent medical conditions and suitability to continue screening. We consider discontinuing screening after age 75, at the onset of any life-limiting illness, or after a discussion of risks and benefits if comorbidities lead to a substantial deterioration in a patient’s overall health status.

While a growing body of evidence exists to support the application of pancreatic cancer screening in high-risk individuals, this preventive service remains underutilized. Recent analysis of the screening cohort at our institution showed a demographically homogeneous group of mostly highly educated, high-income White females. These findings are consistent with the patient cohorts described in other pancreatic cancer screening programs and represent only a fraction of people who would qualify for pancreatic cancer screening.

A survey of patients undergoing screening at our institution identified cost, travel, and time associated with pancreatic cancer screening to be frequent challenges to participation. Further studies are needed to fully explore the barriers and psychological burden of pancreas cancer screening in high-risk individuals, and to identify ways to enrich the cohort of patients undergoing screening. This may involve novel methods to identify family members of patients with a new diagnosis of pancreas cancer and increasing health literacy around pancreatic cancer screening among patients and providers.

Pancreatic cancer screening has the potential to identify early-stage disease in patients who are at high risk because of germ-line mutations and/or family history. We recommend that patients engage in pancreatic cancer screening at high-volume centers with well-supported oncology, genetics, and research infrastructure.

Dr. Bernstein is a gastroenterology fellow at Duke University School of Medicine, Durham, North Carolina. Dr. Kothari is an associate professor of medicine in gastroenterology and hepatology at Duke University School of Medicine.

Screening for Cholangiocarcinoma

BY JUDAH KUPFERMAN, MD, AND APARNA GOEL, MD

Cholangiocarcinoma is a rare but aggressive cancer of the bile ducts that poses many diagnostic challenges. Approximately 3% of gastrointestinal cancers are attributed to cholangiocarcinoma, and while the annual incidence of disease in the United States is about 1.26 per 100,000 people, the incidence of intrahepatic disease has been rising considerably.^1,2 Screening for cholangiocarcinoma is reserved for high-risk individuals — such as those with primary sclerosing cholangitis (PSC), secondary sclerosing cholangitis (SSC), and biliary tract disorders such as choledochal cysts or Caroli’s disease. The goal is to balance the benefits of early diagnosis with the costs and risks associated with screening, particularly given the limitations of available tools like MRI with cholangiopancreatography (MRCP), which has a sensitivity of 70%-85%. In general, we recommend annual cholangiocarcinoma screening for high-risk individuals with MRI and MRCP as well as with cancer antigen (CA) 19-9. .

Stanford School of Medicine

Screening in Patients with Primary Sclerosing Cholangitis

The lifetime risk of cholangiocarcinoma in patients with PSC is 10%-15% with an annual risk of 0.5%-1.5%. In our experience, this is often the most feared complication for PSC patients, even more so than the risk of liver transplantation. We recommend annual MRI with MRCP in addition to CA 19-9 for patients with PSC in the first decade of their diagnosis, as most cancers are diagnosed during this period. If a patient’s imaging has remained stable for over a decade and there is minimal hepatic fibrosis, we discuss the option of reducing screening frequency to every 2 years to minimize costs and exposure to MRI contrast risks.

If MRI reveals a concerning new large duct stricture, we will evaluate this with an endoscopic retrograde cholangiopancreatography (ERCP), as differentiating benign and malignant strictures is quite challenging with MRI. We generally recommend ERCP with brush cytology and fluorescence in situ hybridization to improve diagnostic yield. Depending on imaging findings and location of the new large duct stricture, we may consider cholangioscopy during ERCP for direct visualization of the bile duct and directed tissue biopsies. Unfortunately, even in young, asymptomatic patients who undergo regular screening, cholangiocarcinoma is frequently diagnosed at an advanced stage.
 

Screening in Patients with Secondary Sclerosing Cholangitis

Patients with SSC may develop cholangiocarcinoma because of chronic inflammatory and fibrotic processes, such as IgG4-associated cholangiopathy, sarcoidosis, ischemic cholangiopathy, cystic fibrosis, recurrent pyogenic cholangitis, severe sepsis (as recently seen from SARS-CoV-2), surgical complications, or other etiologies. When the condition is reversible, such as with IgG4-associated cholangiopathy, cancer screening may not be necessary. However, when irreversible damage occurs, the cancer risk increases, though it varies by disease type and severity. In most cases, we recommend routine screening for cholangiocarcinoma with MRI and CA 19-9 in this population.

Stanford School of Medicine

Screening in Patients with Biliary Tract Disorders

Biliary tract disorders such as choledochal cysts and Caroli’s disease also harbor an increased risk of cholangiocarcinoma. Choledochal cysts are congenital cystic dilations of the bile duct that have a 10%-30% lifetime risk of malignant transformation to cholangiocarcinoma. Surgical intervention to remove the cyst is often recommended because of this high risk. However, some patients may be unable or unwilling to undergo this surgery or they may have residual cysts. We recommend ongoing screening with MRI and CA 19-9 for these patients. Similarly, Caroli’s disease is a congenital disease associated with intrahepatic and extrahepatic bile duct cysts and associated with a 5%-15% lifetime risk of cholangiocarcinoma. MRI with MRCP and CA 19-9 should be performed routinely for patients with Caroli’s disease and syndrome.

Risks and Challenges in Cholangiocarcinoma Screening

While MRI with MRCP is the gold standard for cholangiocarcinoma screening, its limitations must be carefully considered. One growing concern is the potential for gadolinium retention in the brain, bones, or skin following repeated MRI scans. Though the long-term effects of gadolinium retention are not fully understood, we factor this into screening decisions, particularly for younger patients who may undergo decades of regular imaging.

MRI is not always feasible for certain patients, including those with metal implants, on hemodialysis, or with severe allergic reactions. In such cases, CT or ultrasound may serve as alternatives, though with lower sensitivity for detecting cholangiocarcinoma. Additionally, claustrophobia during MRI can be addressed with sedation, but this underscores the importance of shared decision-making.

From our perspective, cholangiocarcinoma screening in high-risk patients is crucial but not without challenges. Our current screening methods, while essential, are far from perfect, often missing early cancers or leading to unnecessary interventions. Because of these limitations, the window for treatment of localized disease can easily be missed. In our practice, we tailor screening strategies to each patient’s specific needs, weighing the potential benefits against the risks, costs, and the inherent uncertainty of early detection tools. We believe it is essential to involve patients in this decision-making process to provide a balanced, individualized approach that considers both clinical evidence and the personal preferences of each person.

Dr. Kupferman is a gastroenterology fellow at Stanford University School of Medicine in California. Dr. Goel is a transplant hepatologist and a clinical associate professor in gastroenterology & hepatology at Stanford.

References

1. Vithayathil M and Khan SA. J Hepatol. 2022 Dec. doi: 10.1016/j.jhep.2022.07.022.

2. Patel N and Benipal B. Cureus. 2019 Jan. doi: 10.7759/cureus.3962.

Dear colleagues,

As gastroenterologists and endoscopists, we spend significant time preventing and diagnosing GI malignancies. While colorectal and esophageal cancer and their precursor lesions are well known to us, our approach to rarer malignancies is less well defined.

For instance, is it worthwhile screening for pancreatic cancer, and, if so, how should this be done? Likewise, diagnosing cholangiocarcinoma is challenging; how best should one evaluate for this in higher risk populations, such as primary sclerosing cholangitis? And what about the costs, financial and otherwise, associated with screening?

An Approach to Pancreatic Cancer Screening

BY DANIEL A. BERNSTEIN, MD, AND DARSHAN KOTHARI, MD

Pancreatic cancer carries a dismal prognosis, now accounting for the third-most cancer-related mortality in the United States. A small proportion of patients are diagnosed at a local stage of disease, with over half found to have metastatic disease at presentation. Given the low overall incidence and lifetime risk in the general population, population-based screening is not justified.

About 10% of cases of pancreas cancer are associated with germ-line mutations and/or with a strong family history of pancreatic cancer. Several academic societies and expert committees now recommend regular screening for pancreatic cancer in patients who are considered high-risk individuals, as they carry a fivefold relative risk for pancreatic cancer. Moreover, studies suggest that screening has the potential to identify early-stage resectable disease and decrease mortality in this patient population.

Duke University

Patients who benefit from pancreatic cancer screening are those who carry an increased lifetime risk (in excess of 5%) of pancreatic cancer. High-risk individuals include those with germ-line mutations and/or those with a family history of pancreatic cancer in first-degree relatives. Consensus guidelines by the International Cancer of the Pancreas Screening Consortium and the American Society for Gastrointestinal Endoscopy provide medical centers with detailed recommendations on who and when to start screening.

High-risk individuals fall into three categories:

• Patients with high-risk germline mutations including: familial atypical multiple mole melanoma syndrome (CDKN2A), hereditary breast and ovarian cancer syndromes (BRCA1, BRCA2, and PALB2), Peutz-Jeghers syndrome (STK11), and hereditary pancreatitis (PRSS1 and SPINK1)
• Patients with low- to moderate-risk germ-line mutations with at least one first-degree relative with pancreatic cancer: Lynch Syndrome (particularly MLH1 mutation), ataxia-telangiectasia (ATM), or Li-Fraumeni syndrome (p53)
• Patients with one first-degree relative with pancreatic cancer who in turn has one first-degree relative with pancreatic cancer (eg, a patient’s mother and maternal aunt or a patient’s father and patient’s sister)

Consistent with established guidelines, we recommend screening for high-risk patients beginning at age 50, or 10 years before the youngest age at which pancreas cancer was diagnosed in an affected relative. Screening is recommended earlier in patients with particularly high risk: at age 40 for patients with CDKN2A and STKI11 mutations and age 40 for patients with PRSS1 mutation or 20 years after the first attack of acute pancreatitis. For patients with a strong family history of pancreas cancer, we recommend comprehensive evaluation by a certified genetic counselor at a high-volume cancer center.

Duke University

In practice, patients at our institution who are identified as high risk based on the above criteria are referred for an initial consultation at our pancreas center. In most cases, this should occur no sooner than 5 years prior to the recommended starting age for screening. All patients who are identified as high risk should be screened annually for diabetes given the growing evidence base supporting an association between new-onset diabetes and pancreatic cancer.

After an initial visit and discussion of the risks and benefits of screening, most screening protocols start with a baseline endoscopic ultrasound (EUS) and contrast-enhanced magnetic resonance abdomen with magnetic resonance cholangiopancreatography (MRI/MRCP), which will be repeated annually or sooner as the clinical condition warrants. A sooner-interval EUS should be considered for patients already undergoing screening who are newly found to have diabetes.

At our institution, we start with an in-person clinic evaluation followed by EUS. Thereafter, patients undergo MRI/MRCP (synchronized with a same-day clinic visit) alternating with EUS every 6 months to ensure patients are seen twice a year, though there is no specific data to support this approach. Non-diabetics also undergo yearly diabetes screening which will trigger an EUS if patients become diabetic.

We engage in shared decision-making with our high-risk individuals undergoing pancreatic cancer screening and at each visit we review their concurrent medical conditions and suitability to continue screening. We consider discontinuing screening after age 75, at the onset of any life-limiting illness, or after a discussion of risks and benefits if comorbidities lead to a substantial deterioration in a patient’s overall health status.

While a growing body of evidence exists to support the application of pancreatic cancer screening in high-risk individuals, this preventive service remains underutilized. Recent analysis of the screening cohort at our institution showed a demographically homogeneous group of mostly highly educated, high-income White females. These findings are consistent with the patient cohorts described in other pancreatic cancer screening programs and represent only a fraction of people who would qualify for pancreatic cancer screening.

A survey of patients undergoing screening at our institution identified cost, travel, and time associated with pancreatic cancer screening to be frequent challenges to participation. Further studies are needed to fully explore the barriers and psychological burden of pancreas cancer screening in high-risk individuals, and to identify ways to enrich the cohort of patients undergoing screening. This may involve novel methods to identify family members of patients with a new diagnosis of pancreas cancer and increasing health literacy around pancreatic cancer screening among patients and providers.

Pancreatic cancer screening has the potential to identify early-stage disease in patients who are at high risk because of germ-line mutations and/or family history. We recommend that patients engage in pancreatic cancer screening at high-volume centers with well-supported oncology, genetics, and research infrastructure.

Dr. Bernstein is a gastroenterology fellow at Duke University School of Medicine, Durham, North Carolina. Dr. Kothari is an associate professor of medicine in gastroenterology and hepatology at Duke University School of Medicine.

Screening for Cholangiocarcinoma

BY JUDAH KUPFERMAN, MD, AND APARNA GOEL, MD

Cholangiocarcinoma is a rare but aggressive cancer of the bile ducts that poses many diagnostic challenges. Approximately 3% of gastrointestinal cancers are attributed to cholangiocarcinoma, and while the annual incidence of disease in the United States is about 1.26 per 100,000 people, the incidence of intrahepatic disease has been rising considerably.^1,2 Screening for cholangiocarcinoma is reserved for high-risk individuals — such as those with primary sclerosing cholangitis (PSC), secondary sclerosing cholangitis (SSC), and biliary tract disorders such as choledochal cysts or Caroli’s disease. The goal is to balance the benefits of early diagnosis with the costs and risks associated with screening, particularly given the limitations of available tools like MRI with cholangiopancreatography (MRCP), which has a sensitivity of 70%-85%. In general, we recommend annual cholangiocarcinoma screening for high-risk individuals with MRI and MRCP as well as with cancer antigen (CA) 19-9. .

Stanford School of Medicine

Screening in Patients with Primary Sclerosing Cholangitis

The lifetime risk of cholangiocarcinoma in patients with PSC is 10%-15% with an annual risk of 0.5%-1.5%. In our experience, this is often the most feared complication for PSC patients, even more so than the risk of liver transplantation. We recommend annual MRI with MRCP in addition to CA 19-9 for patients with PSC in the first decade of their diagnosis, as most cancers are diagnosed during this period. If a patient’s imaging has remained stable for over a decade and there is minimal hepatic fibrosis, we discuss the option of reducing screening frequency to every 2 years to minimize costs and exposure to MRI contrast risks.

If MRI reveals a concerning new large duct stricture, we will evaluate this with an endoscopic retrograde cholangiopancreatography (ERCP), as differentiating benign and malignant strictures is quite challenging with MRI. We generally recommend ERCP with brush cytology and fluorescence in situ hybridization to improve diagnostic yield. Depending on imaging findings and location of the new large duct stricture, we may consider cholangioscopy during ERCP for direct visualization of the bile duct and directed tissue biopsies. Unfortunately, even in young, asymptomatic patients who undergo regular screening, cholangiocarcinoma is frequently diagnosed at an advanced stage.
 

Screening in Patients with Secondary Sclerosing Cholangitis

Patients with SSC may develop cholangiocarcinoma because of chronic inflammatory and fibrotic processes, such as IgG4-associated cholangiopathy, sarcoidosis, ischemic cholangiopathy, cystic fibrosis, recurrent pyogenic cholangitis, severe sepsis (as recently seen from SARS-CoV-2), surgical complications, or other etiologies. When the condition is reversible, such as with IgG4-associated cholangiopathy, cancer screening may not be necessary. However, when irreversible damage occurs, the cancer risk increases, though it varies by disease type and severity. In most cases, we recommend routine screening for cholangiocarcinoma with MRI and CA 19-9 in this population.

Stanford School of Medicine

Screening in Patients with Biliary Tract Disorders

Biliary tract disorders such as choledochal cysts and Caroli’s disease also harbor an increased risk of cholangiocarcinoma. Choledochal cysts are congenital cystic dilations of the bile duct that have a 10%-30% lifetime risk of malignant transformation to cholangiocarcinoma. Surgical intervention to remove the cyst is often recommended because of this high risk. However, some patients may be unable or unwilling to undergo this surgery or they may have residual cysts. We recommend ongoing screening with MRI and CA 19-9 for these patients. Similarly, Caroli’s disease is a congenital disease associated with intrahepatic and extrahepatic bile duct cysts and associated with a 5%-15% lifetime risk of cholangiocarcinoma. MRI with MRCP and CA 19-9 should be performed routinely for patients with Caroli’s disease and syndrome.

Risks and Challenges in Cholangiocarcinoma Screening

While MRI with MRCP is the gold standard for cholangiocarcinoma screening, its limitations must be carefully considered. One growing concern is the potential for gadolinium retention in the brain, bones, or skin following repeated MRI scans. Though the long-term effects of gadolinium retention are not fully understood, we factor this into screening decisions, particularly for younger patients who may undergo decades of regular imaging.

MRI is not always feasible for certain patients, including those with metal implants, on hemodialysis, or with severe allergic reactions. In such cases, CT or ultrasound may serve as alternatives, though with lower sensitivity for detecting cholangiocarcinoma. Additionally, claustrophobia during MRI can be addressed with sedation, but this underscores the importance of shared decision-making.

From our perspective, cholangiocarcinoma screening in high-risk patients is crucial but not without challenges. Our current screening methods, while essential, are far from perfect, often missing early cancers or leading to unnecessary interventions. Because of these limitations, the window for treatment of localized disease can easily be missed. In our practice, we tailor screening strategies to each patient’s specific needs, weighing the potential benefits against the risks, costs, and the inherent uncertainty of early detection tools. We believe it is essential to involve patients in this decision-making process to provide a balanced, individualized approach that considers both clinical evidence and the personal preferences of each person.

Dr. Kupferman is a gastroenterology fellow at Stanford University School of Medicine in California. Dr. Goel is a transplant hepatologist and a clinical associate professor in gastroenterology & hepatology at Stanford.

References

1. Vithayathil M and Khan SA. J Hepatol. 2022 Dec. doi: 10.1016/j.jhep.2022.07.022.

2. Patel N and Benipal B. Cureus. 2019 Jan. doi: 10.7759/cureus.3962.

Dear colleagues,

As gastroenterologists and endoscopists, we spend significant time preventing and diagnosing GI malignancies. While colorectal and esophageal cancer and their precursor lesions are well known to us, our approach to rarer malignancies is less well defined.

For instance, is it worthwhile screening for pancreatic cancer, and, if so, how should this be done? Likewise, diagnosing cholangiocarcinoma is challenging; how best should one evaluate for this in higher risk populations, such as primary sclerosing cholangitis? And what about the costs, financial and otherwise, associated with screening?

An Approach to Pancreatic Cancer Screening

BY DANIEL A. BERNSTEIN, MD, AND DARSHAN KOTHARI, MD

Pancreatic cancer carries a dismal prognosis, now accounting for the third-most cancer-related mortality in the United States. A small proportion of patients are diagnosed at a local stage of disease, with over half found to have metastatic disease at presentation. Given the low overall incidence and lifetime risk in the general population, population-based screening is not justified.

About 10% of cases of pancreas cancer are associated with germ-line mutations and/or with a strong family history of pancreatic cancer. Several academic societies and expert committees now recommend regular screening for pancreatic cancer in patients who are considered high-risk individuals, as they carry a fivefold relative risk for pancreatic cancer. Moreover, studies suggest that screening has the potential to identify early-stage resectable disease and decrease mortality in this patient population.

Duke University

Patients who benefit from pancreatic cancer screening are those who carry an increased lifetime risk (in excess of 5%) of pancreatic cancer. High-risk individuals include those with germ-line mutations and/or those with a family history of pancreatic cancer in first-degree relatives. Consensus guidelines by the International Cancer of the Pancreas Screening Consortium and the American Society for Gastrointestinal Endoscopy provide medical centers with detailed recommendations on who and when to start screening.

High-risk individuals fall into three categories:

• Patients with high-risk germline mutations including: familial atypical multiple mole melanoma syndrome (CDKN2A), hereditary breast and ovarian cancer syndromes (BRCA1, BRCA2, and PALB2), Peutz-Jeghers syndrome (STK11), and hereditary pancreatitis (PRSS1 and SPINK1)
• Patients with low- to moderate-risk germ-line mutations with at least one first-degree relative with pancreatic cancer: Lynch Syndrome (particularly MLH1 mutation), ataxia-telangiectasia (ATM), or Li-Fraumeni syndrome (p53)
• Patients with one first-degree relative with pancreatic cancer who in turn has one first-degree relative with pancreatic cancer (eg, a patient’s mother and maternal aunt or a patient’s father and patient’s sister)

Consistent with established guidelines, we recommend screening for high-risk patients beginning at age 50, or 10 years before the youngest age at which pancreas cancer was diagnosed in an affected relative. Screening is recommended earlier in patients with particularly high risk: at age 40 for patients with CDKN2A and STKI11 mutations and age 40 for patients with PRSS1 mutation or 20 years after the first attack of acute pancreatitis. For patients with a strong family history of pancreas cancer, we recommend comprehensive evaluation by a certified genetic counselor at a high-volume cancer center.

Duke University

In practice, patients at our institution who are identified as high risk based on the above criteria are referred for an initial consultation at our pancreas center. In most cases, this should occur no sooner than 5 years prior to the recommended starting age for screening. All patients who are identified as high risk should be screened annually for diabetes given the growing evidence base supporting an association between new-onset diabetes and pancreatic cancer.

After an initial visit and discussion of the risks and benefits of screening, most screening protocols start with a baseline endoscopic ultrasound (EUS) and contrast-enhanced magnetic resonance abdomen with magnetic resonance cholangiopancreatography (MRI/MRCP), which will be repeated annually or sooner as the clinical condition warrants. A sooner-interval EUS should be considered for patients already undergoing screening who are newly found to have diabetes.

At our institution, we start with an in-person clinic evaluation followed by EUS. Thereafter, patients undergo MRI/MRCP (synchronized with a same-day clinic visit) alternating with EUS every 6 months to ensure patients are seen twice a year, though there is no specific data to support this approach. Non-diabetics also undergo yearly diabetes screening which will trigger an EUS if patients become diabetic.

We engage in shared decision-making with our high-risk individuals undergoing pancreatic cancer screening and at each visit we review their concurrent medical conditions and suitability to continue screening. We consider discontinuing screening after age 75, at the onset of any life-limiting illness, or after a discussion of risks and benefits if comorbidities lead to a substantial deterioration in a patient’s overall health status.

While a growing body of evidence exists to support the application of pancreatic cancer screening in high-risk individuals, this preventive service remains underutilized. Recent analysis of the screening cohort at our institution showed a demographically homogeneous group of mostly highly educated, high-income White females. These findings are consistent with the patient cohorts described in other pancreatic cancer screening programs and represent only a fraction of people who would qualify for pancreatic cancer screening.

A survey of patients undergoing screening at our institution identified cost, travel, and time associated with pancreatic cancer screening to be frequent challenges to participation. Further studies are needed to fully explore the barriers and psychological burden of pancreas cancer screening in high-risk individuals, and to identify ways to enrich the cohort of patients undergoing screening. This may involve novel methods to identify family members of patients with a new diagnosis of pancreas cancer and increasing health literacy around pancreatic cancer screening among patients and providers.

Pancreatic cancer screening has the potential to identify early-stage disease in patients who are at high risk because of germ-line mutations and/or family history. We recommend that patients engage in pancreatic cancer screening at high-volume centers with well-supported oncology, genetics, and research infrastructure.

Dr. Bernstein is a gastroenterology fellow at Duke University School of Medicine, Durham, North Carolina. Dr. Kothari is an associate professor of medicine in gastroenterology and hepatology at Duke University School of Medicine.

Screening for Cholangiocarcinoma

BY JUDAH KUPFERMAN, MD, AND APARNA GOEL, MD

Cholangiocarcinoma is a rare but aggressive cancer of the bile ducts that poses many diagnostic challenges. Approximately 3% of gastrointestinal cancers are attributed to cholangiocarcinoma, and while the annual incidence of disease in the United States is about 1.26 per 100,000 people, the incidence of intrahepatic disease has been rising considerably.^1,2 Screening for cholangiocarcinoma is reserved for high-risk individuals — such as those with primary sclerosing cholangitis (PSC), secondary sclerosing cholangitis (SSC), and biliary tract disorders such as choledochal cysts or Caroli’s disease. The goal is to balance the benefits of early diagnosis with the costs and risks associated with screening, particularly given the limitations of available tools like MRI with cholangiopancreatography (MRCP), which has a sensitivity of 70%-85%. In general, we recommend annual cholangiocarcinoma screening for high-risk individuals with MRI and MRCP as well as with cancer antigen (CA) 19-9. .

Stanford School of Medicine

Screening in Patients with Primary Sclerosing Cholangitis

The lifetime risk of cholangiocarcinoma in patients with PSC is 10%-15% with an annual risk of 0.5%-1.5%. In our experience, this is often the most feared complication for PSC patients, even more so than the risk of liver transplantation. We recommend annual MRI with MRCP in addition to CA 19-9 for patients with PSC in the first decade of their diagnosis, as most cancers are diagnosed during this period. If a patient’s imaging has remained stable for over a decade and there is minimal hepatic fibrosis, we discuss the option of reducing screening frequency to every 2 years to minimize costs and exposure to MRI contrast risks.

If MRI reveals a concerning new large duct stricture, we will evaluate this with an endoscopic retrograde cholangiopancreatography (ERCP), as differentiating benign and malignant strictures is quite challenging with MRI. We generally recommend ERCP with brush cytology and fluorescence in situ hybridization to improve diagnostic yield. Depending on imaging findings and location of the new large duct stricture, we may consider cholangioscopy during ERCP for direct visualization of the bile duct and directed tissue biopsies. Unfortunately, even in young, asymptomatic patients who undergo regular screening, cholangiocarcinoma is frequently diagnosed at an advanced stage.
 

Screening in Patients with Secondary Sclerosing Cholangitis

Patients with SSC may develop cholangiocarcinoma because of chronic inflammatory and fibrotic processes, such as IgG4-associated cholangiopathy, sarcoidosis, ischemic cholangiopathy, cystic fibrosis, recurrent pyogenic cholangitis, severe sepsis (as recently seen from SARS-CoV-2), surgical complications, or other etiologies. When the condition is reversible, such as with IgG4-associated cholangiopathy, cancer screening may not be necessary. However, when irreversible damage occurs, the cancer risk increases, though it varies by disease type and severity. In most cases, we recommend routine screening for cholangiocarcinoma with MRI and CA 19-9 in this population.

Stanford School of Medicine

Screening in Patients with Biliary Tract Disorders

Biliary tract disorders such as choledochal cysts and Caroli’s disease also harbor an increased risk of cholangiocarcinoma. Choledochal cysts are congenital cystic dilations of the bile duct that have a 10%-30% lifetime risk of malignant transformation to cholangiocarcinoma. Surgical intervention to remove the cyst is often recommended because of this high risk. However, some patients may be unable or unwilling to undergo this surgery or they may have residual cysts. We recommend ongoing screening with MRI and CA 19-9 for these patients. Similarly, Caroli’s disease is a congenital disease associated with intrahepatic and extrahepatic bile duct cysts and associated with a 5%-15% lifetime risk of cholangiocarcinoma. MRI with MRCP and CA 19-9 should be performed routinely for patients with Caroli’s disease and syndrome.

Risks and Challenges in Cholangiocarcinoma Screening

While MRI with MRCP is the gold standard for cholangiocarcinoma screening, its limitations must be carefully considered. One growing concern is the potential for gadolinium retention in the brain, bones, or skin following repeated MRI scans. Though the long-term effects of gadolinium retention are not fully understood, we factor this into screening decisions, particularly for younger patients who may undergo decades of regular imaging.

MRI is not always feasible for certain patients, including those with metal implants, on hemodialysis, or with severe allergic reactions. In such cases, CT or ultrasound may serve as alternatives, though with lower sensitivity for detecting cholangiocarcinoma. Additionally, claustrophobia during MRI can be addressed with sedation, but this underscores the importance of shared decision-making.

From our perspective, cholangiocarcinoma screening in high-risk patients is crucial but not without challenges. Our current screening methods, while essential, are far from perfect, often missing early cancers or leading to unnecessary interventions. Because of these limitations, the window for treatment of localized disease can easily be missed. In our practice, we tailor screening strategies to each patient’s specific needs, weighing the potential benefits against the risks, costs, and the inherent uncertainty of early detection tools. We believe it is essential to involve patients in this decision-making process to provide a balanced, individualized approach that considers both clinical evidence and the personal preferences of each person.

Dr. Kupferman is a gastroenterology fellow at Stanford University School of Medicine in California. Dr. Goel is a transplant hepatologist and a clinical associate professor in gastroenterology & hepatology at Stanford.

References

1. Vithayathil M and Khan SA. J Hepatol. 2022 Dec. doi: 10.1016/j.jhep.2022.07.022.

2. Patel N and Benipal B. Cureus. 2019 Jan. doi: 10.7759/cureus.3962.

PHILADELPHIA — Researchers have developed an artificial intelligence (AI) tool capable of detecting and differentiating cystic and solid pancreatic lesions during endoscopic ultrasound (EUS) with high accuracy.

This was a transatlantic collaborative effort involving researchers in Portugal, Spain, the United States, and Brazil, and the AI tool “works on different platforms and different devices,” Miguel Mascarenhas, MD, PhD, with Centro Hospitalar Universitário de São João, Porto, Portugal, said in a presentation at the annual meeting of the American College of Gastroenterology.

Mascarenhas noted that pancreatic cystic lesions (PCLs) are a common incidental finding during imaging and are differentiated by whether they’re mucinous PCLs (M-PCLs) or non-mucinous PCLs (NM-PCLs). The malignancy risk is almost exclusive of PCL with a mucinous phenotype.

Pancreatic solid lesions are also prevalent, and differentiation is challenging. Pancreatic ductal adenocarcinoma (P-DAC) is the most common pancreatic solid lesion and has a poor prognosis because of late-stage disease at diagnosis. Pancreatic neuroendocrine tumors (P-NETs) are less common but have malignant potential.

EUS is the “gold standard” for pancreatic lesion evaluation, but its diagnostic accuracy is suboptimal, particularly for lesions < 10 mm, Mascarenhas noted.

With an eye toward improving diagnostic accuracy, he and colleagues developed a convolutional neural network for detecting and differentiating cystic (M-PCL and NM-PCL) and solid (P-DAC and P-NET) pancreatic lesions.

They leveraged data from 378 EUS exams with 126,000 still images — 19,528 M-PCL, 8175 NM-PCL, 64,286 P-DAC, 29,153 P-NET, and 4858 normal pancreas images.

The AI tool demonstrated 99.1% accuracy for identifying normal pancreatic tissue, and it showed 99% and 99.8% accuracy for M-PCL and NM-PCL, respectively.

For pancreatic solid lesions, P-DAC and P-NET were distinguished with 94% accuracy, with 98.7% and 83.6% sensitivity for P-DAC and P-NET, respectively.
 

Real-Time Validation Next

“AI is delivering promising results throughout medicine, but particularly in gastroenterology, which is one of the most fertile areas of AI research. This comes mostly from the deployment of deep-learning models, most of them convolutional neural networks, which are highly efficient for image analysis,” Mascarenhas told attendees.

This is the “first worldwide convolutional neural network” capable of detecting and differentiating both cystic and solid pancreatic lesions. The use of a large dataset from four centers in two continents helps minimize the impact of demographic bias, Mascarenhas added.

The study is based on still images, not full videos, he noted. As a next step, the team is conducting a multicenter study focused on real-time clinical validation of the model during EUS procedures.

“AI has the potential to improve the diagnostic accuracy of endoscopic ultrasound. We’re just on the tip of the iceberg. There is enormous potential to harness AI, and we welcome all the groups that might want to join our research,” Mascarenhas said.

Brennan Spiegel, MD, MSHS, AGAF, director of Health Services Research at Cedars-Sinai Medical Center, Los Angeles, who wasn’t involved in the study, is optimistic about emerging applications for AI.

“AI holds incredible promise in gastroenterology, especially for diagnosing complex pancreatic lesions where early, accurate differentiation can be lifesaving,” Spiegel said in an interview.

“This study’s high accuracy across diverse datasets is encouraging; however, as a retrospective analysis, it leaves the real-time clinical impact still to be proven. Prospective studies will be essential to confirm AI’s role in enhancing our diagnostic capabilities,” Spiegel cautioned.

“More generally, AI is rapidly transforming gastroenterology by enhancing our ability to detect, differentiate, and monitor conditions with unprecedented precision. From improving early cancer detection to guiding complex diagnostic procedures, AI stands to become an invaluable tool that complements clinical expertise. As we refine these technologies, the potential for AI to elevate both diagnostic accuracy and patient outcomes in GI is truly remarkable,” Spiegel said.

The study had no specific funding. Mascarenhas and Spiegel have declared no conflicts of interest.

A version of this article appeared on Medscape.com.

PHILADELPHIA — Researchers have developed an artificial intelligence (AI) tool capable of detecting and differentiating cystic and solid pancreatic lesions during endoscopic ultrasound (EUS) with high accuracy.

This was a transatlantic collaborative effort involving researchers in Portugal, Spain, the United States, and Brazil, and the AI tool “works on different platforms and different devices,” Miguel Mascarenhas, MD, PhD, with Centro Hospitalar Universitário de São João, Porto, Portugal, said in a presentation at the annual meeting of the American College of Gastroenterology.

Mascarenhas noted that pancreatic cystic lesions (PCLs) are a common incidental finding during imaging and are differentiated by whether they’re mucinous PCLs (M-PCLs) or non-mucinous PCLs (NM-PCLs). The malignancy risk is almost exclusive of PCL with a mucinous phenotype.

Pancreatic solid lesions are also prevalent, and differentiation is challenging. Pancreatic ductal adenocarcinoma (P-DAC) is the most common pancreatic solid lesion and has a poor prognosis because of late-stage disease at diagnosis. Pancreatic neuroendocrine tumors (P-NETs) are less common but have malignant potential.

EUS is the “gold standard” for pancreatic lesion evaluation, but its diagnostic accuracy is suboptimal, particularly for lesions < 10 mm, Mascarenhas noted.

With an eye toward improving diagnostic accuracy, he and colleagues developed a convolutional neural network for detecting and differentiating cystic (M-PCL and NM-PCL) and solid (P-DAC and P-NET) pancreatic lesions.

They leveraged data from 378 EUS exams with 126,000 still images — 19,528 M-PCL, 8175 NM-PCL, 64,286 P-DAC, 29,153 P-NET, and 4858 normal pancreas images.

The AI tool demonstrated 99.1% accuracy for identifying normal pancreatic tissue, and it showed 99% and 99.8% accuracy for M-PCL and NM-PCL, respectively.

For pancreatic solid lesions, P-DAC and P-NET were distinguished with 94% accuracy, with 98.7% and 83.6% sensitivity for P-DAC and P-NET, respectively.
 

Real-Time Validation Next

“AI is delivering promising results throughout medicine, but particularly in gastroenterology, which is one of the most fertile areas of AI research. This comes mostly from the deployment of deep-learning models, most of them convolutional neural networks, which are highly efficient for image analysis,” Mascarenhas told attendees.

This is the “first worldwide convolutional neural network” capable of detecting and differentiating both cystic and solid pancreatic lesions. The use of a large dataset from four centers in two continents helps minimize the impact of demographic bias, Mascarenhas added.

The study is based on still images, not full videos, he noted. As a next step, the team is conducting a multicenter study focused on real-time clinical validation of the model during EUS procedures.

“AI has the potential to improve the diagnostic accuracy of endoscopic ultrasound. We’re just on the tip of the iceberg. There is enormous potential to harness AI, and we welcome all the groups that might want to join our research,” Mascarenhas said.

Brennan Spiegel, MD, MSHS, AGAF, director of Health Services Research at Cedars-Sinai Medical Center, Los Angeles, who wasn’t involved in the study, is optimistic about emerging applications for AI.

“AI holds incredible promise in gastroenterology, especially for diagnosing complex pancreatic lesions where early, accurate differentiation can be lifesaving,” Spiegel said in an interview.

“This study’s high accuracy across diverse datasets is encouraging; however, as a retrospective analysis, it leaves the real-time clinical impact still to be proven. Prospective studies will be essential to confirm AI’s role in enhancing our diagnostic capabilities,” Spiegel cautioned.

“More generally, AI is rapidly transforming gastroenterology by enhancing our ability to detect, differentiate, and monitor conditions with unprecedented precision. From improving early cancer detection to guiding complex diagnostic procedures, AI stands to become an invaluable tool that complements clinical expertise. As we refine these technologies, the potential for AI to elevate both diagnostic accuracy and patient outcomes in GI is truly remarkable,” Spiegel said.

The study had no specific funding. Mascarenhas and Spiegel have declared no conflicts of interest.

A version of this article appeared on Medscape.com.

PHILADELPHIA — Researchers have developed an artificial intelligence (AI) tool capable of detecting and differentiating cystic and solid pancreatic lesions during endoscopic ultrasound (EUS) with high accuracy.

This was a transatlantic collaborative effort involving researchers in Portugal, Spain, the United States, and Brazil, and the AI tool “works on different platforms and different devices,” Miguel Mascarenhas, MD, PhD, with Centro Hospitalar Universitário de São João, Porto, Portugal, said in a presentation at the annual meeting of the American College of Gastroenterology.

Mascarenhas noted that pancreatic cystic lesions (PCLs) are a common incidental finding during imaging and are differentiated by whether they’re mucinous PCLs (M-PCLs) or non-mucinous PCLs (NM-PCLs). The malignancy risk is almost exclusive of PCL with a mucinous phenotype.

Pancreatic solid lesions are also prevalent, and differentiation is challenging. Pancreatic ductal adenocarcinoma (P-DAC) is the most common pancreatic solid lesion and has a poor prognosis because of late-stage disease at diagnosis. Pancreatic neuroendocrine tumors (P-NETs) are less common but have malignant potential.

EUS is the “gold standard” for pancreatic lesion evaluation, but its diagnostic accuracy is suboptimal, particularly for lesions < 10 mm, Mascarenhas noted.

With an eye toward improving diagnostic accuracy, he and colleagues developed a convolutional neural network for detecting and differentiating cystic (M-PCL and NM-PCL) and solid (P-DAC and P-NET) pancreatic lesions.

They leveraged data from 378 EUS exams with 126,000 still images — 19,528 M-PCL, 8175 NM-PCL, 64,286 P-DAC, 29,153 P-NET, and 4858 normal pancreas images.

The AI tool demonstrated 99.1% accuracy for identifying normal pancreatic tissue, and it showed 99% and 99.8% accuracy for M-PCL and NM-PCL, respectively.

For pancreatic solid lesions, P-DAC and P-NET were distinguished with 94% accuracy, with 98.7% and 83.6% sensitivity for P-DAC and P-NET, respectively.
 

Real-Time Validation Next

“AI is delivering promising results throughout medicine, but particularly in gastroenterology, which is one of the most fertile areas of AI research. This comes mostly from the deployment of deep-learning models, most of them convolutional neural networks, which are highly efficient for image analysis,” Mascarenhas told attendees.

This is the “first worldwide convolutional neural network” capable of detecting and differentiating both cystic and solid pancreatic lesions. The use of a large dataset from four centers in two continents helps minimize the impact of demographic bias, Mascarenhas added.

The study is based on still images, not full videos, he noted. As a next step, the team is conducting a multicenter study focused on real-time clinical validation of the model during EUS procedures.

“AI has the potential to improve the diagnostic accuracy of endoscopic ultrasound. We’re just on the tip of the iceberg. There is enormous potential to harness AI, and we welcome all the groups that might want to join our research,” Mascarenhas said.

Brennan Spiegel, MD, MSHS, AGAF, director of Health Services Research at Cedars-Sinai Medical Center, Los Angeles, who wasn’t involved in the study, is optimistic about emerging applications for AI.

“AI holds incredible promise in gastroenterology, especially for diagnosing complex pancreatic lesions where early, accurate differentiation can be lifesaving,” Spiegel said in an interview.

“This study’s high accuracy across diverse datasets is encouraging; however, as a retrospective analysis, it leaves the real-time clinical impact still to be proven. Prospective studies will be essential to confirm AI’s role in enhancing our diagnostic capabilities,” Spiegel cautioned.

“More generally, AI is rapidly transforming gastroenterology by enhancing our ability to detect, differentiate, and monitor conditions with unprecedented precision. From improving early cancer detection to guiding complex diagnostic procedures, AI stands to become an invaluable tool that complements clinical expertise. As we refine these technologies, the potential for AI to elevate both diagnostic accuracy and patient outcomes in GI is truly remarkable,” Spiegel said.

The study had no specific funding. Mascarenhas and Spiegel have declared no conflicts of interest.

A version of this article appeared on Medscape.com.

Compared with endoscopy, the Baveno VI criteria present a noninvasive and cost-effective method to detect high-risk varices in patients with Child-Pugh A cirrhosis, according to new research.

Although upper gastrointestinal endoscopy continues to be the gold standard for detecting varices, the Baveno VI criteria combine liver stiffness and platelet count values to rule out high-risk varices, which can save on endoscopy costs.

“The Baveno VI criteria can reduce the need for endoscopies in patients with cirrhosis, but it is important to ascertain if they are also cost-effective,” said senior author Emmanuel Tsochatzis, MD, professor of hepatology at the University College London Institute for Liver and Digestive Health and Royal Free Hospital in London.

Andrew McConnell/EASL

“Our findings confirm that the application of these criteria is highly cost-effective, and given the fact that they are also safe, should be considered for widespread implementation,” he said.

The study was published online in Clinical Gastroenterology and Hepatology.
 

Baveno VI Criteria Analysis

On the basis of the Baveno VI Consensus, endoscopy screening can be avoided in patients with compensated advanced chronic liver disease and Child-Pugh A cirrhosis who have a platelet count > 150,000/mm³ and a liver stiffness measurement < 20 kPa. 

In addition, expanded Baveno VI criteria have suggested optimized cut-off values to avoid even more endoscopies — at a platelet value of > 110,000/mm³ and a liver stiffness < 25 kPa.

Previous research indicates that the expanded criteria could avoid double the number of endoscopies, the authors wrote, with a risk of missing high-risk varices in 1.6% of patients with the criteria and 0.6% of overall study participants. Both criteria have been validated in large groups of patients with compensated cirrhosis of different etiologies, but the cost-effectiveness hasn’t been analyzed.

Dr. Tsochatzis and colleagues created an analytical decision model to estimate the costs and benefits of using the Baveno VI criteria as compared with endoscopy as the standard of care among a hypothetical cohort of 1000 patients with Child-Pugh A cirrhosis. The research team looked at costs and clinical outcomes based on the United Kingdom National Health Service perspective at 1 year from diagnosis and then estimated the expected costs and outcomes at 5 years and 20 years, including factors such as liver disease progression and variceal bleeding.

As part of the model, the Baveno VI criteria were implemented at annual screenings with targeted endoscopy for patients who met the criteria, as compared with endoscopy as a biannual screening using esophagogastroduodenoscopy for everyone.

In general, the Baveno VI criteria were cost-effective compared with endoscopy in all analyses, including all time points, as well as deterministic and probabilistic sensitivity analyses. The cost of using the criteria was £67 per patient, as compared with £411 per patient for esophagogastroduodenoscopy.

For the 1000 patients, the criteria produced 0.16 additional quality-adjusted life years (QALYs) per patient at an incremental cost of £326, or about $443, over 5 years. This resulted in an incremental cost-effectiveness ratio (ICER) of £2081, or $2830, per additional QALY gained.

In addition, the incremental net monetary benefit of the Baveno VI criteria was £2808, or $3819, over 5 years per patient.

The results were also consistent and cost-effective in Canada and Spain using relevant cost inputs from those countries. In Canada, the ICER per QALY estimates were €3535, or $3712, over 5 years and €4610, or $4841, over 20 years. In Spain, the ICER per QALY estimates were €1966, or $2064, over 5 years and €2225, or $2336, over 20 years.
 

Baveno VI Considerations

Despite the small risk of false negatives, the Baveno VI criteria could avoid unnecessary endoscopies and provide significant cost savings, the study authors wrote.

“It should be mentioned, however, that sparing endoscopies could result in missing the incidental detection of esophageal and gastric cancers, particularly in patients with higher risk, such as those who misuse alcohol,” Dr. Tsochatzis said.

Future studies could investigate ways to broaden the applicability of the Baveno VI criteria to other patient subgroups, identify optimal cut-off points, and incorporate patients with systemic therapies.

“Baveno VI criteria can be safely used to avoid endoscopy in a substantial proportion of patients with compensated cirrhosis,” said Wayne Bai, MBChB, a gastroenterologist at Waikato Hospital and the University of Auckland in New Zealand.

Dr. Bai, who wasn’t involved with this study, has researched the Baveno VI criteria and participated in Baveno VII criteria meetings. In an analysis of more than two dozen studies, he and colleagues found that the Baveno VI criteria had a pooled 99% negative predictive value for ruling out high-risk varices and weren’t affected by the cause of cirrhosis. However, expanding the criteria had suboptimal performance in some cases.

Waikato Hospital

A version of this article first appeared on Medscape.com.

Compared with endoscopy, the Baveno VI criteria present a noninvasive and cost-effective method to detect high-risk varices in patients with Child-Pugh A cirrhosis, according to new research.

Although upper gastrointestinal endoscopy continues to be the gold standard for detecting varices, the Baveno VI criteria combine liver stiffness and platelet count values to rule out high-risk varices, which can save on endoscopy costs.

“The Baveno VI criteria can reduce the need for endoscopies in patients with cirrhosis, but it is important to ascertain if they are also cost-effective,” said senior author Emmanuel Tsochatzis, MD, professor of hepatology at the University College London Institute for Liver and Digestive Health and Royal Free Hospital in London.

Andrew McConnell/EASL

“Our findings confirm that the application of these criteria is highly cost-effective, and given the fact that they are also safe, should be considered for widespread implementation,” he said.

The study was published online in Clinical Gastroenterology and Hepatology.
 

Baveno VI Criteria Analysis

On the basis of the Baveno VI Consensus, endoscopy screening can be avoided in patients with compensated advanced chronic liver disease and Child-Pugh A cirrhosis who have a platelet count > 150,000/mm³ and a liver stiffness measurement < 20 kPa. 

In addition, expanded Baveno VI criteria have suggested optimized cut-off values to avoid even more endoscopies — at a platelet value of > 110,000/mm³ and a liver stiffness < 25 kPa.

Previous research indicates that the expanded criteria could avoid double the number of endoscopies, the authors wrote, with a risk of missing high-risk varices in 1.6% of patients with the criteria and 0.6% of overall study participants. Both criteria have been validated in large groups of patients with compensated cirrhosis of different etiologies, but the cost-effectiveness hasn’t been analyzed.

Dr. Tsochatzis and colleagues created an analytical decision model to estimate the costs and benefits of using the Baveno VI criteria as compared with endoscopy as the standard of care among a hypothetical cohort of 1000 patients with Child-Pugh A cirrhosis. The research team looked at costs and clinical outcomes based on the United Kingdom National Health Service perspective at 1 year from diagnosis and then estimated the expected costs and outcomes at 5 years and 20 years, including factors such as liver disease progression and variceal bleeding.

As part of the model, the Baveno VI criteria were implemented at annual screenings with targeted endoscopy for patients who met the criteria, as compared with endoscopy as a biannual screening using esophagogastroduodenoscopy for everyone.

In general, the Baveno VI criteria were cost-effective compared with endoscopy in all analyses, including all time points, as well as deterministic and probabilistic sensitivity analyses. The cost of using the criteria was £67 per patient, as compared with £411 per patient for esophagogastroduodenoscopy.

For the 1000 patients, the criteria produced 0.16 additional quality-adjusted life years (QALYs) per patient at an incremental cost of £326, or about $443, over 5 years. This resulted in an incremental cost-effectiveness ratio (ICER) of £2081, or $2830, per additional QALY gained.

In addition, the incremental net monetary benefit of the Baveno VI criteria was £2808, or $3819, over 5 years per patient.

The results were also consistent and cost-effective in Canada and Spain using relevant cost inputs from those countries. In Canada, the ICER per QALY estimates were €3535, or $3712, over 5 years and €4610, or $4841, over 20 years. In Spain, the ICER per QALY estimates were €1966, or $2064, over 5 years and €2225, or $2336, over 20 years.
 

Baveno VI Considerations

Despite the small risk of false negatives, the Baveno VI criteria could avoid unnecessary endoscopies and provide significant cost savings, the study authors wrote.

“It should be mentioned, however, that sparing endoscopies could result in missing the incidental detection of esophageal and gastric cancers, particularly in patients with higher risk, such as those who misuse alcohol,” Dr. Tsochatzis said.

Future studies could investigate ways to broaden the applicability of the Baveno VI criteria to other patient subgroups, identify optimal cut-off points, and incorporate patients with systemic therapies.

“Baveno VI criteria can be safely used to avoid endoscopy in a substantial proportion of patients with compensated cirrhosis,” said Wayne Bai, MBChB, a gastroenterologist at Waikato Hospital and the University of Auckland in New Zealand.

Dr. Bai, who wasn’t involved with this study, has researched the Baveno VI criteria and participated in Baveno VII criteria meetings. In an analysis of more than two dozen studies, he and colleagues found that the Baveno VI criteria had a pooled 99% negative predictive value for ruling out high-risk varices and weren’t affected by the cause of cirrhosis. However, expanding the criteria had suboptimal performance in some cases.

Waikato Hospital

A version of this article first appeared on Medscape.com.

Compared with endoscopy, the Baveno VI criteria present a noninvasive and cost-effective method to detect high-risk varices in patients with Child-Pugh A cirrhosis, according to new research.

Although upper gastrointestinal endoscopy continues to be the gold standard for detecting varices, the Baveno VI criteria combine liver stiffness and platelet count values to rule out high-risk varices, which can save on endoscopy costs.

“The Baveno VI criteria can reduce the need for endoscopies in patients with cirrhosis, but it is important to ascertain if they are also cost-effective,” said senior author Emmanuel Tsochatzis, MD, professor of hepatology at the University College London Institute for Liver and Digestive Health and Royal Free Hospital in London.

Andrew McConnell/EASL

“Our findings confirm that the application of these criteria is highly cost-effective, and given the fact that they are also safe, should be considered for widespread implementation,” he said.

The study was published online in Clinical Gastroenterology and Hepatology.
 

Baveno VI Criteria Analysis

On the basis of the Baveno VI Consensus, endoscopy screening can be avoided in patients with compensated advanced chronic liver disease and Child-Pugh A cirrhosis who have a platelet count > 150,000/mm³ and a liver stiffness measurement < 20 kPa. 

In addition, expanded Baveno VI criteria have suggested optimized cut-off values to avoid even more endoscopies — at a platelet value of > 110,000/mm³ and a liver stiffness < 25 kPa.

Previous research indicates that the expanded criteria could avoid double the number of endoscopies, the authors wrote, with a risk of missing high-risk varices in 1.6% of patients with the criteria and 0.6% of overall study participants. Both criteria have been validated in large groups of patients with compensated cirrhosis of different etiologies, but the cost-effectiveness hasn’t been analyzed.

Dr. Tsochatzis and colleagues created an analytical decision model to estimate the costs and benefits of using the Baveno VI criteria as compared with endoscopy as the standard of care among a hypothetical cohort of 1000 patients with Child-Pugh A cirrhosis. The research team looked at costs and clinical outcomes based on the United Kingdom National Health Service perspective at 1 year from diagnosis and then estimated the expected costs and outcomes at 5 years and 20 years, including factors such as liver disease progression and variceal bleeding.

As part of the model, the Baveno VI criteria were implemented at annual screenings with targeted endoscopy for patients who met the criteria, as compared with endoscopy as a biannual screening using esophagogastroduodenoscopy for everyone.

In general, the Baveno VI criteria were cost-effective compared with endoscopy in all analyses, including all time points, as well as deterministic and probabilistic sensitivity analyses. The cost of using the criteria was £67 per patient, as compared with £411 per patient for esophagogastroduodenoscopy.

For the 1000 patients, the criteria produced 0.16 additional quality-adjusted life years (QALYs) per patient at an incremental cost of £326, or about $443, over 5 years. This resulted in an incremental cost-effectiveness ratio (ICER) of £2081, or $2830, per additional QALY gained.

In addition, the incremental net monetary benefit of the Baveno VI criteria was £2808, or $3819, over 5 years per patient.

The results were also consistent and cost-effective in Canada and Spain using relevant cost inputs from those countries. In Canada, the ICER per QALY estimates were €3535, or $3712, over 5 years and €4610, or $4841, over 20 years. In Spain, the ICER per QALY estimates were €1966, or $2064, over 5 years and €2225, or $2336, over 20 years.
 

Baveno VI Considerations

Despite the small risk of false negatives, the Baveno VI criteria could avoid unnecessary endoscopies and provide significant cost savings, the study authors wrote.

“It should be mentioned, however, that sparing endoscopies could result in missing the incidental detection of esophageal and gastric cancers, particularly in patients with higher risk, such as those who misuse alcohol,” Dr. Tsochatzis said.

Future studies could investigate ways to broaden the applicability of the Baveno VI criteria to other patient subgroups, identify optimal cut-off points, and incorporate patients with systemic therapies.

“Baveno VI criteria can be safely used to avoid endoscopy in a substantial proportion of patients with compensated cirrhosis,” said Wayne Bai, MBChB, a gastroenterologist at Waikato Hospital and the University of Auckland in New Zealand.

Dr. Bai, who wasn’t involved with this study, has researched the Baveno VI criteria and participated in Baveno VII criteria meetings. In an analysis of more than two dozen studies, he and colleagues found that the Baveno VI criteria had a pooled 99% negative predictive value for ruling out high-risk varices and weren’t affected by the cause of cirrhosis. However, expanding the criteria had suboptimal performance in some cases.

Waikato Hospital

A version of this article first appeared on Medscape.com.

A joint American College of Gastroenterology (ACG) and American Society for Gastrointestinal Endoscopy (ASGE) task force has updated quality indicators considered “fundamental” to all gastrointestinal (GI) endoscopic procedures — most of which have a performance target > 98%, implying they should be achieved in nearly every case. 

The task force’s work was published online in The American Journal of Gastroenterology.

“The purpose of this paper is to delineate all of the steps that the endoscopist should be thinking about before they perform any endoscopy,” task force member Nicholas Shaheen, MD, MPH, Division of Gastroenterology and Hepatology, the University of North Carolina at Chapel Hill, said in an interview. 

“Some of these are straightforward — for instance, did we get informed consent? Others are more nuanced — did we appropriately plan for sedation for the procedure, or did we give the right antibiotics before the procedure to prevent an infectious complication after?

“While the vast majority of endoscopists do these measures with every procedure, especially in unusual circumstances or when the procedure is an emergency, they can be overlooked. Having these quality indicators listed in one place should minimize these omissions,” Dr. Shaheen said.
 

Four Priority Indicators

The update represents the third iteration of the ACG/ASGE quality indicators on GI endoscopic procedures, the most recent of which was published nearly a decade ago.

As in preceding versions, the task force “prioritized indicators that have wide-ranging clinical implications and have been validated in clinical studies.” There are 19 in total, divided into three time periods: Preprocedure (8), intraprocedure (4), and postprocedure (7).

While all 19 indicators are intended to serve as a framework for continual quality improvement efforts among endoscopists and units, the task force recognized a subset of 4 they identified as being a particular priority:

• Frequency with which endoscopy is performed for an indication that is included in a published standard list of appropriate indications and the indication is documented (performance target > 95%) 
• Frequency with which prophylactic antibiotics are administered for appropriate indications (performance target > 98%) 
• Frequency with which a plan for the management of antithrombotic therapy is formulated and documented before the procedure (performance target = 95%) 
• Frequency with which adverse events are documented (performance target > 98%) 

Room for Improvement 

There remains a lack of compliance with some of these indicators, the task force said. 

“Procedures are still performed for questionable indications, adverse events are not always captured and documented, and communication between the endoscopist and patient and/or involved clinicians is sometimes lacking.

“For these reasons, strict attention to the quality indicators in this document and an active plan for improvement in areas of measured deficiency should be a central pillar of the successful practice of endoscopy,” they wrote. 

The task force advised that quality improvement efforts initially focus on the four priority indicators and then progress to include other indicators once it is determined that endoscopists are performing above recommended thresholds, either at baseline or after corrective interventions.

Reached for comment, Ashwin N. Ananthakrishnan, MD, MPH, AGAF, a gastroenterologist with Massachusetts General Hospital and Harvard Medical School, both in Boston, Massachusetts, said in an interview that these updated recommendations are “important and commonsense standard procedures that should be followed for all procedures.”

“We recognize endoscopic evaluation plays an important role in the assessment of GI illnesses, but there are also both risks and costs to this as a diagnostic and therapeutic intervention. Thus, it is important to make sure these standards are met, to optimize the outcomes of our patients,” said Dr. Ananthakrishnan, who was not involved in this work.

In a separate statement, the American Gastroenterological Association affirmed that is committed to supporting gastroenterologists in providing high-quality care via improved patients outcomes, increased efficiency and cost-effectiveness. AGA encouraged GIs to visit gastro.org/quality to learn more and find quality measures on topics including Barrett’s esophagus, inflammatory bowel disease, acute pancreatitis, and gastric intestinal metaplasia.

This work had no financial support. Dr. Shaheen and Dr. Ananthakrishnan disclosed having no relevant competing interests.

A version of this article first appeared on Medscape.com.

A joint American College of Gastroenterology (ACG) and American Society for Gastrointestinal Endoscopy (ASGE) task force has updated quality indicators considered “fundamental” to all gastrointestinal (GI) endoscopic procedures — most of which have a performance target > 98%, implying they should be achieved in nearly every case. 

The task force’s work was published online in The American Journal of Gastroenterology.

“The purpose of this paper is to delineate all of the steps that the endoscopist should be thinking about before they perform any endoscopy,” task force member Nicholas Shaheen, MD, MPH, Division of Gastroenterology and Hepatology, the University of North Carolina at Chapel Hill, said in an interview. 

“Some of these are straightforward — for instance, did we get informed consent? Others are more nuanced — did we appropriately plan for sedation for the procedure, or did we give the right antibiotics before the procedure to prevent an infectious complication after?

“While the vast majority of endoscopists do these measures with every procedure, especially in unusual circumstances or when the procedure is an emergency, they can be overlooked. Having these quality indicators listed in one place should minimize these omissions,” Dr. Shaheen said.
 

Four Priority Indicators

The update represents the third iteration of the ACG/ASGE quality indicators on GI endoscopic procedures, the most recent of which was published nearly a decade ago.

As in preceding versions, the task force “prioritized indicators that have wide-ranging clinical implications and have been validated in clinical studies.” There are 19 in total, divided into three time periods: Preprocedure (8), intraprocedure (4), and postprocedure (7).

While all 19 indicators are intended to serve as a framework for continual quality improvement efforts among endoscopists and units, the task force recognized a subset of 4 they identified as being a particular priority:

• Frequency with which endoscopy is performed for an indication that is included in a published standard list of appropriate indications and the indication is documented (performance target > 95%) 
• Frequency with which prophylactic antibiotics are administered for appropriate indications (performance target > 98%) 
• Frequency with which a plan for the management of antithrombotic therapy is formulated and documented before the procedure (performance target = 95%) 
• Frequency with which adverse events are documented (performance target > 98%) 

Room for Improvement 

There remains a lack of compliance with some of these indicators, the task force said. 

“Procedures are still performed for questionable indications, adverse events are not always captured and documented, and communication between the endoscopist and patient and/or involved clinicians is sometimes lacking.

“For these reasons, strict attention to the quality indicators in this document and an active plan for improvement in areas of measured deficiency should be a central pillar of the successful practice of endoscopy,” they wrote. 

The task force advised that quality improvement efforts initially focus on the four priority indicators and then progress to include other indicators once it is determined that endoscopists are performing above recommended thresholds, either at baseline or after corrective interventions.

Reached for comment, Ashwin N. Ananthakrishnan, MD, MPH, AGAF, a gastroenterologist with Massachusetts General Hospital and Harvard Medical School, both in Boston, Massachusetts, said in an interview that these updated recommendations are “important and commonsense standard procedures that should be followed for all procedures.”

“We recognize endoscopic evaluation plays an important role in the assessment of GI illnesses, but there are also both risks and costs to this as a diagnostic and therapeutic intervention. Thus, it is important to make sure these standards are met, to optimize the outcomes of our patients,” said Dr. Ananthakrishnan, who was not involved in this work.

In a separate statement, the American Gastroenterological Association affirmed that is committed to supporting gastroenterologists in providing high-quality care via improved patients outcomes, increased efficiency and cost-effectiveness. AGA encouraged GIs to visit gastro.org/quality to learn more and find quality measures on topics including Barrett’s esophagus, inflammatory bowel disease, acute pancreatitis, and gastric intestinal metaplasia.

This work had no financial support. Dr. Shaheen and Dr. Ananthakrishnan disclosed having no relevant competing interests.

A version of this article first appeared on Medscape.com.

A joint American College of Gastroenterology (ACG) and American Society for Gastrointestinal Endoscopy (ASGE) task force has updated quality indicators considered “fundamental” to all gastrointestinal (GI) endoscopic procedures — most of which have a performance target > 98%, implying they should be achieved in nearly every case. 

The task force’s work was published online in The American Journal of Gastroenterology.

“The purpose of this paper is to delineate all of the steps that the endoscopist should be thinking about before they perform any endoscopy,” task force member Nicholas Shaheen, MD, MPH, Division of Gastroenterology and Hepatology, the University of North Carolina at Chapel Hill, said in an interview. 

“Some of these are straightforward — for instance, did we get informed consent? Others are more nuanced — did we appropriately plan for sedation for the procedure, or did we give the right antibiotics before the procedure to prevent an infectious complication after?

“While the vast majority of endoscopists do these measures with every procedure, especially in unusual circumstances or when the procedure is an emergency, they can be overlooked. Having these quality indicators listed in one place should minimize these omissions,” Dr. Shaheen said.
 

Four Priority Indicators

The update represents the third iteration of the ACG/ASGE quality indicators on GI endoscopic procedures, the most recent of which was published nearly a decade ago.

As in preceding versions, the task force “prioritized indicators that have wide-ranging clinical implications and have been validated in clinical studies.” There are 19 in total, divided into three time periods: Preprocedure (8), intraprocedure (4), and postprocedure (7).

While all 19 indicators are intended to serve as a framework for continual quality improvement efforts among endoscopists and units, the task force recognized a subset of 4 they identified as being a particular priority:

• Frequency with which endoscopy is performed for an indication that is included in a published standard list of appropriate indications and the indication is documented (performance target > 95%) 
• Frequency with which prophylactic antibiotics are administered for appropriate indications (performance target > 98%) 
• Frequency with which a plan for the management of antithrombotic therapy is formulated and documented before the procedure (performance target = 95%) 
• Frequency with which adverse events are documented (performance target > 98%) 

Room for Improvement 

There remains a lack of compliance with some of these indicators, the task force said. 

“Procedures are still performed for questionable indications, adverse events are not always captured and documented, and communication between the endoscopist and patient and/or involved clinicians is sometimes lacking.

“For these reasons, strict attention to the quality indicators in this document and an active plan for improvement in areas of measured deficiency should be a central pillar of the successful practice of endoscopy,” they wrote. 

The task force advised that quality improvement efforts initially focus on the four priority indicators and then progress to include other indicators once it is determined that endoscopists are performing above recommended thresholds, either at baseline or after corrective interventions.

Reached for comment, Ashwin N. Ananthakrishnan, MD, MPH, AGAF, a gastroenterologist with Massachusetts General Hospital and Harvard Medical School, both in Boston, Massachusetts, said in an interview that these updated recommendations are “important and commonsense standard procedures that should be followed for all procedures.”

“We recognize endoscopic evaluation plays an important role in the assessment of GI illnesses, but there are also both risks and costs to this as a diagnostic and therapeutic intervention. Thus, it is important to make sure these standards are met, to optimize the outcomes of our patients,” said Dr. Ananthakrishnan, who was not involved in this work.

In a separate statement, the American Gastroenterological Association affirmed that is committed to supporting gastroenterologists in providing high-quality care via improved patients outcomes, increased efficiency and cost-effectiveness. AGA encouraged GIs to visit gastro.org/quality to learn more and find quality measures on topics including Barrett’s esophagus, inflammatory bowel disease, acute pancreatitis, and gastric intestinal metaplasia.

This work had no financial support. Dr. Shaheen and Dr. Ananthakrishnan disclosed having no relevant competing interests.

A version of this article first appeared on Medscape.com.

A new endoscopic retrograde cholangiopancreatography (ERCP) report card automatically imports and analyzes performance metrics from endoscopy records, offering a real-time gauge of both individual- and institutional-level quality indicators, according to the developers.

The tool boasts an accuracy level exceeding 96%, integrates with multiple electronic health records, and requires minimal additional work time, reported Anmol Singh, MD, of TriStar Centennial Medical Center, Nashville, Tennessee, and colleagues.

“Implementation of quality indicator tracking remains difficult due to the complexity of ERCP as compared with other endoscopic procedures, resulting in significant limitations in the extraction and synthesis of these data,” the investigators wrote in Techniques and Innovations in Gastrointestinal Endoscopy. “Manual extraction methods such as self-assessment forms and chart reviews are both time intensive and error prone, and current automated extraction methods, such as natural language processing, can require substantial resources to implement and undesirably complicate the endoscopy work flow.”

To overcome these challenges, Dr. Singh and colleagues designed an analytics tool that automatically collects ERCP quality indicators from endoscopy reports with “minimal input” from the endoscopist, and is compatible with “any electronic reporting system.”

Development relied upon endoscopy records from 2,146 ERCPs performed by 12 endoscopists at four facilities. The most common reason for ERCP was choledocholithiasis, followed by malignant and benign biliary stricture. Most common procedures were stent placement and sphincterotomy.

Data were aggregated in a Health Level–7 (HL-7) interface, an international standard system that enables compatibility between different types of electronic health records. Some inputs were entered by the performing endoscopist via drop-down menus.

Next, data were shifted into an analytics suite, which evaluated quality indicators, including cannulation difficulty and success rate, and administration of post-ERCP pancreatitis prophylaxis.

Manual review showed that this approach yielded an accuracy of 96.5%-100%.

Beyond this high level of accuracy, Dr. Singh and colleagues described several reasons why their tool may be superior to previous attempts at an automated ERCP report card.

“Our HL-7–based tool offers several advantages, including versatility via compatibility with multiple types of commercial reporting software and flexibility in customizing the type and aesthetic of the data displayed,” they wrote. “These features improve the user interface, keep costs down, and allow for integration into smaller or nonacademic practice settings.”

They also highlighted how the tool measures quality in relation to procedure indication and difficulty at the provider level.

“Unlike in colonoscopy, where metrics such as adenoma detection rate can be ubiquitously applied to all screening procedures, the difficulty and risk profile of ERCP is inextricably dependent on patient and procedural factors such as indication of the procedure, history of interventions, or history of altered anatomy,” Dr. Singh and colleagues wrote. “Prior studies have shown that both the cost-effectiveness and complication rates of procedures are influenced by procedural indication and complexity. As such, benchmarking an individual provider’s performance necessarily requires the correct procedural context.”

With further optimization, this tool can be integrated into various types of existing endoscopy reporting software at a reasonable cost, and with minimal impact on routine work flow, the investigators concluded.

The investigators disclosed relationships with AbbVie, Boston Scientific, Organon, and others.

A new endoscopic retrograde cholangiopancreatography (ERCP) report card automatically imports and analyzes performance metrics from endoscopy records, offering a real-time gauge of both individual- and institutional-level quality indicators, according to the developers.

The tool boasts an accuracy level exceeding 96%, integrates with multiple electronic health records, and requires minimal additional work time, reported Anmol Singh, MD, of TriStar Centennial Medical Center, Nashville, Tennessee, and colleagues.

“Implementation of quality indicator tracking remains difficult due to the complexity of ERCP as compared with other endoscopic procedures, resulting in significant limitations in the extraction and synthesis of these data,” the investigators wrote in Techniques and Innovations in Gastrointestinal Endoscopy. “Manual extraction methods such as self-assessment forms and chart reviews are both time intensive and error prone, and current automated extraction methods, such as natural language processing, can require substantial resources to implement and undesirably complicate the endoscopy work flow.”

To overcome these challenges, Dr. Singh and colleagues designed an analytics tool that automatically collects ERCP quality indicators from endoscopy reports with “minimal input” from the endoscopist, and is compatible with “any electronic reporting system.”

Development relied upon endoscopy records from 2,146 ERCPs performed by 12 endoscopists at four facilities. The most common reason for ERCP was choledocholithiasis, followed by malignant and benign biliary stricture. Most common procedures were stent placement and sphincterotomy.

Data were aggregated in a Health Level–7 (HL-7) interface, an international standard system that enables compatibility between different types of electronic health records. Some inputs were entered by the performing endoscopist via drop-down menus.

Next, data were shifted into an analytics suite, which evaluated quality indicators, including cannulation difficulty and success rate, and administration of post-ERCP pancreatitis prophylaxis.

Manual review showed that this approach yielded an accuracy of 96.5%-100%.

Beyond this high level of accuracy, Dr. Singh and colleagues described several reasons why their tool may be superior to previous attempts at an automated ERCP report card.

“Our HL-7–based tool offers several advantages, including versatility via compatibility with multiple types of commercial reporting software and flexibility in customizing the type and aesthetic of the data displayed,” they wrote. “These features improve the user interface, keep costs down, and allow for integration into smaller or nonacademic practice settings.”

They also highlighted how the tool measures quality in relation to procedure indication and difficulty at the provider level.

“Unlike in colonoscopy, where metrics such as adenoma detection rate can be ubiquitously applied to all screening procedures, the difficulty and risk profile of ERCP is inextricably dependent on patient and procedural factors such as indication of the procedure, history of interventions, or history of altered anatomy,” Dr. Singh and colleagues wrote. “Prior studies have shown that both the cost-effectiveness and complication rates of procedures are influenced by procedural indication and complexity. As such, benchmarking an individual provider’s performance necessarily requires the correct procedural context.”

With further optimization, this tool can be integrated into various types of existing endoscopy reporting software at a reasonable cost, and with minimal impact on routine work flow, the investigators concluded.

The investigators disclosed relationships with AbbVie, Boston Scientific, Organon, and others.

A new endoscopic retrograde cholangiopancreatography (ERCP) report card automatically imports and analyzes performance metrics from endoscopy records, offering a real-time gauge of both individual- and institutional-level quality indicators, according to the developers.

The tool boasts an accuracy level exceeding 96%, integrates with multiple electronic health records, and requires minimal additional work time, reported Anmol Singh, MD, of TriStar Centennial Medical Center, Nashville, Tennessee, and colleagues.

“Implementation of quality indicator tracking remains difficult due to the complexity of ERCP as compared with other endoscopic procedures, resulting in significant limitations in the extraction and synthesis of these data,” the investigators wrote in Techniques and Innovations in Gastrointestinal Endoscopy. “Manual extraction methods such as self-assessment forms and chart reviews are both time intensive and error prone, and current automated extraction methods, such as natural language processing, can require substantial resources to implement and undesirably complicate the endoscopy work flow.”

To overcome these challenges, Dr. Singh and colleagues designed an analytics tool that automatically collects ERCP quality indicators from endoscopy reports with “minimal input” from the endoscopist, and is compatible with “any electronic reporting system.”

Development relied upon endoscopy records from 2,146 ERCPs performed by 12 endoscopists at four facilities. The most common reason for ERCP was choledocholithiasis, followed by malignant and benign biliary stricture. Most common procedures were stent placement and sphincterotomy.

Data were aggregated in a Health Level–7 (HL-7) interface, an international standard system that enables compatibility between different types of electronic health records. Some inputs were entered by the performing endoscopist via drop-down menus.

Next, data were shifted into an analytics suite, which evaluated quality indicators, including cannulation difficulty and success rate, and administration of post-ERCP pancreatitis prophylaxis.

Manual review showed that this approach yielded an accuracy of 96.5%-100%.

Beyond this high level of accuracy, Dr. Singh and colleagues described several reasons why their tool may be superior to previous attempts at an automated ERCP report card.

“Our HL-7–based tool offers several advantages, including versatility via compatibility with multiple types of commercial reporting software and flexibility in customizing the type and aesthetic of the data displayed,” they wrote. “These features improve the user interface, keep costs down, and allow for integration into smaller or nonacademic practice settings.”

They also highlighted how the tool measures quality in relation to procedure indication and difficulty at the provider level.

“Unlike in colonoscopy, where metrics such as adenoma detection rate can be ubiquitously applied to all screening procedures, the difficulty and risk profile of ERCP is inextricably dependent on patient and procedural factors such as indication of the procedure, history of interventions, or history of altered anatomy,” Dr. Singh and colleagues wrote. “Prior studies have shown that both the cost-effectiveness and complication rates of procedures are influenced by procedural indication and complexity. As such, benchmarking an individual provider’s performance necessarily requires the correct procedural context.”

With further optimization, this tool can be integrated into various types of existing endoscopy reporting software at a reasonable cost, and with minimal impact on routine work flow, the investigators concluded.

The investigators disclosed relationships with AbbVie, Boston Scientific, Organon, and others.

Endoscopists are often faced with unique challenges in the management and resection of various gastrointestinal tract lesions. These challenges could be lesion-related, endoscopist-related, or practice-related (see Table 1). As our knowledge, tools and resources, and training significantly evolved in the modern era, there has been a remarkable rise in advanced endoscopic techniques for advanced tissue resection (ATR). Not only does this organ-sparing approach offer a less invasive alternative to surgery, but it has also proved to have outcomes comparable to those of surgical standard of practice in specific scenarios.

When Do You Refer to an Advanced Endoscopist?

One of the most critical steps in caring for patients with complex lesions is the ability to accurately determine whether a referral to an advanced endoscopist is warranted. The initial assessment of a lesion should always involve a careful assessment that risk stratifies the lesion depending on the location, size, neoplastic potential, and the feasibility of standard endoscopic resection compared to the need for surgical input.

A practical example in the case of colonic polyps is highlighted by the American Gastroenterology Association (AGA) guidelines recommending the referral of patients with polyps’ size ≥ 20 mm, challenging polypectomy location, or recurrent polyp at a prior polypectomy site to an endoscopic referral center.¹ In the case of subepithelial lesions without endoscopic characteristics of benign etiology (i.e., lipomas, pancreatic rests, etc.), the threshold for referral to advanced endoscopists for further diagnostic testing by means of endoscopic ultrasonography or for therapeutic ATR should be lower.

Endoscopic tissue resection follows a spectrum, which often involves deeper layers of the gastrointestinal tract (GIT) as we progress along this spectrum (see Figure 1).

Dr. Madi; Dr. Rengarajan, and Dr. Bazarbashi

ATR, a term encompassing a variety of endoscopic techniques ranging from endoscopic mucosal resection to full thickness resection, has gained traction over the last years given the ability to effectively remove various lesions in a precise time and cost-effective manner while maintaining the integrity of the GIT and avoiding major surgery. The indications for ATR vary depending on the technique, but generally include the presence of large or poorly positioned lesions, particularly in high-risk areas of the GIT such as the esophagus and small intestine, lesions extending beyond the mucosal layer or originating from deeper layers, and when en bloc resection of select lesions is necessary.

Saint Louis University School of Medicine

Endoscopic Mucosal Resection (EMR)

EMR is currently utilized for curative treatment of a wide array of GIT lesions limited to the mucosal layer, whether metaplastic, dysplastic, or even in cases with early mucosal cancer, where the risk of submucosal and lymphatic invasion is minimal.⁴ This makes EMR a versatile and proven therapy, often serving as the first-line treatment for many GIT lesions.

Washington University

EMR has various techniques that could be categorized into suction or non-suction (lift and cut) techniques. In the suction technique, devices like multiband mucosectomy (MBM) are commonly used, especially in nodular Barrett’s dysplasia, forming a pseudopolyp for subsequent resection. The procedure is characterized by its safety, efficacy, and cost-effectiveness, contributing to its widespread adoption in clinical practice. In the lift and cut approach, a submucosal injection is utilized to separate the muscularis propria from the lesion, thereby reducing the risk of perforation. Different solutions, such as normal saline, hypertonic saline, 50% dextrose, or proprietary submucosal injection solutions, are employed for submucosal injection.⁵

The non-suction technique using a snare to resect polyps after injection is more often used in colonic and small intestinal EMR. Resection can be done via thermal energy in the form of cut or coagulation; however, there is rising data on the use of piecemeal cold snare resection for select flat polyps of the colon.⁶ There is also promising data on the role of underwater EMR, a common technique employed for colonic lesions, particularly if the lesion does not lift well with submucosal injection.⁷

Adverse events associated with EMR include bleeding (7%-8%) and perforation (0.9%-2%).^8-9 Adequate submucosal fluid injection is crucial to prevent perforations. However, the main limitation of EMR is the piecemeal nature of resections for lesions larger than 20 mm, leading to compromised histopathologic evaluation for complete excision, especially in cases with superficial submucosal invasion (SMI). This can result in residual or recurrent tissue, reportedly 8% to 20%.¹⁰ Despite this limitation, EMR remains a reliable strategy, and recurrent lesions are generally manageable through repeat sessions. The importance of EMR as a therapeutic modality lies in its role in addressing lesions with favorable characteristics, where the risk of SMI is low.

Washington University

Endoscopic Submucosal Dissection (ESD)

ESD is an evolving technique that can be utilized for submucosal lesions of the GIT, lesions not amenable to EMR due to submucosal fibrosis, when en bloc removal of a lesion is needed for accurate histopathological diagnosis, and when other techniques fail.^11-12

ESD was only recently adopted in the United States, requires specialized training, and usually is a lengthier procedure than EMR.¹³ Compared to EMR, it has higher en bloc resection rates and lower recurrence rates, making it curative for lesions with superficial SMI and favorable histologic features.^4,14 The safety profile of ESD appears favorable, with most of the adverse events managed successfully by endoscopic methods. Major complications include intraoperative and delayed perforation, intraoperative and delayed bleeding, aspiration pneumonia, thromboembolism, and stricture formation in the case of circumferential lesions.¹⁵

Despite being technically challenging, ESD may provide a cost-effective long-term solution by avoiding surgery, reducing the need for additional interventions by minimizing recurrence rates. Given the technical complexity of ESD, particularly the submucosal dissection portion, techniques such as hybrid ESD developed. Hybrid ESD combines snaring with circumferential mucosal incision and partial submucosal dissection. Although it promises shorter procedure times, reduced complication rates like perforation, and similar recurrence rates compared to traditional ESD, studies have shown lower success rates in en bloc resection.^16-17

Both EMR and ESD are considered complementary strategies, and the choice between them should be dictated by lesion characteristics, patient preferences, and local expertise.
 

Submucosal Tunneling Endoscopic Resection (STER)

STER has emerged as a well-established technique for the endoscopic resection of GI subepithelial tumors (SETs) originating from the muscularis propria layer. The standard STER procedure involves a series of steps including submucosal elevation proximal to the SET, mucosotomy, creation of a submucosal tunnel, dissection of the SET within the tunnel, enucleation from the deep muscle layer, and subsequent specimen retrieval followed by mucosal closure.

This technique is typically recommended for SETs smaller than 3.5 cm, particularly those located in the mid or distal esophagus, cardia, or along the greater curvature of the gastric body.¹⁸ However, STER may pose technical challenges for larger SETs or lesions in anatomically difficult locations, where surgical resection is recommended instead.¹⁹ Notably, recent large-scale meta-analyses have showcased the favorable complete resection and en bloc resection rates of STER in treating GI SETs.²⁰

Endoscopic Full Thickness Resection (EFTR)

EFTR has emerged as a valuable technique in the endoscopic management of gastrointestinal lesions, particularly SETs and lesions not amenable to EMR or ESD due to fibrosis. EFTR involves the resection of all layers of the GIT from mucosa to serosa, and therefore is well-suited for SETs arising from the muscularis propria (MP).²⁰

EFTR entails two main concepts: tissue resection and complete defect closure. Conventional EFTR consists of several steps, which include mucosal and submucosal pre-cutting, circumferential incision, and dissection through the MP or serosa. This results in a full thickness defect, for which closure of the wall defect is achieved using standard endoscopic clips or a combination of clips and endoloops or endoscopic suturing.²¹ For lesions less than 2 cm, EFTR can be performed in a single step using a cap-mounted full thickness resection device (FTRD). This results in deployment of over-the-scope clip over the target lesion followed by snaring the lesions above the clip.²¹

Location of the SET generally dictates the specific modality of ATR. For example, esophageal SETs may be more amenable to STER given that the lesion typically runs parallel with the lumen of the tubular esophagus, which allows for easier dissection without the need of full or partial retroflexion. While gastric SETs can be resected with STER, it may be challenging and more effectively addressed with EFTR, particularly when the entire lesion can be grasped into the full-thickness resection device.²² Limited data exists for duodenal EFTR, and colorectal SETs closure is particularly challenging.
 

Conclusion

It is key to emphasize that ATR cannot be safely established in practice without the incorporation of a multidisciplinary team (surgeons, radiologists, etc.), specialized tools, and trained personnel. This requires dedicated endoscopic rooms, careful patient selection, and a comprehensive approach to patient care before, during, and after these procedures.

Moreover, it is important to note that some patients may require post-procedure hospitalization for observation to ensure no early complications are encountered. Optimal surveillance strategies after ATR rely heavily on the potential for residual or recurrent disease, underlying pathology, and the expertise of the advanced endoscopist. As the field continues to evolve, ongoing research and technological advances of devices will further enhance the efficacy and safety of ATR in gastroenterology.

Dr. Madi (@MahMadi90) is based in the Division of Gastroenterology and Hepatology, Saint Louis University School of Medicine, Saint Louis, Missouri. Dr. Rengarajan (@ArvindRenga) and Dr. Bazarbashi (@AhmadBazarbashi) are based in the Division of Gastroenterology, Washington University in St. Louis. The authors have no conflicts of interest to disclose, and no funding was required for this project.
 

References

1. Copland AP, et al. AGA Clinical Practice Update on appropriate and tailored polypectomy: Expert review. Clin Gastroenterol Hepatol. 2024 Mar. doi: 10.1016/j.cgh.2023.10.012.

2. Lee SP, et al. Effect of preceding biopsy on the results of endoscopic submucosal dissection for colorectal laterally spreading tumor. Dig Dis Sci. 2019 Oct. doi: 10.1007/s10620-019-05625-3.

3. Medina-Prado L, et al. When and how to use endoscopic tattooing in the colon: An international Delphi agreement. Clin Gastroenterol Hepatol. 2021 May. doi: 10.1016/j.cgh.2021.01.024.

4. Rashid MU, et al. EMR and ESD: Indications, techniques and results. Surg Oncol. 2022 Aug. doi: 10.1016/j.suronc.2022.101742.

5. Castro R, et al. Solutions for submucosal injection: What to choose and how to do it. World J Gastroenterol. 2019 Feb. doi: 10.3748/wjg.v25.i7.777.

6. Rex DK. Best practices for resection of diminutive and small polyps in the colorectum. Gastrointest Endosc Clin N Am. 2019 Oct. doi: 10.1016/j.giec.2019.06.004.

7. Lv XH, et al. Underwater EMR for nonpedunculated colorectal lesions. Gastrointest Endosc. 2023 Apr. doi: 10.1016/j.gie.2022.10.044.

8. Fujiya M, et al. Efficacy and adverse events of EMR and endoscopic submucosal dissection for the treatment of colon neoplasms: a meta-analysis of studies comparing EMR and endoscopic submucosal dissection. Gastrointest Endosc. 2015 Mar. doi: 10.1016/j.gie.2014.07.034.

9. Kandel P, Wallace MB. Colorectal endoscopic mucosal resection (EMR). Best Pract Res Clin Gastroenterol. 2017 Aug. doi: 10.1016/j.bpg.2017.05.006.

10. Kemper G, et al; ENDOCARE Study Group. Endoscopic techniques to reduce recurrence rates after colorectal EMR: systematic review and meta-analysis. Surg Endosc. 2021 Oct. doi: 10.1007/s00464-021-08574-z.

11. Goto O, et al. Expanding indications for ESD: submucosal disease (SMT/carcinoid tumors). Gastrointest Endosc Clin N Am. 2014 Apr. doi: 10.1016/j.giec.2013.11.006.

12. Wang K, et al. Endoscopic full-thickness resection, indication, methods and perspectives. Dig Endosc. 2023 Jan. doi: 10.1111/den.14474.

13. Herreros de Tejada A. ESD training: A challenging path to excellence. World J Gastrointest Endosc. 2014 Apr 16. doi: 10.4253/wjge.v6.i4.112.

14. Chiba H, et al. Safety and efficacy of simultaneous colorectal ESD for large synchronous colorectal lesions. Endosc Int Open. 2017 Jul. doi: 10.1055/s-0043-110567.

15. Mannath J, Ragunath K. Endoscopic mucosal resection: who and how? Therap Adv Gastroenterol. 2011 Sep. doi: 10.1177/1756283X10388683.

16. Wang XY, et al. Hybrid endoscopic submucosal dissection: An alternative resection modality for large laterally spreading tumors in the cecum? BMC Gastroenterol. 2021 May. doi: 10.1186/s12876-021-01766-w.

17. McCarty TR, et al. Hybrid endoscopic submucosal dissection (ESD) compared with conventional ESD for colorectal lesions: a systematic review and meta-analysis. Endoscopy. 2021 Oct. doi: 10.1055/a-1266-1855.

18. Jain D, et al. Submucosal tunneling endoscopic resection of upper gastrointestinal tract tumors arising from muscularis propria. Ann Gastroenterol. 2017 Feb. doi: 10.20524/aog.2017.0128.

19. Lv XH, et al. Efficacy and safety of submucosal tunneling endoscopic resection for upper gastrointestinal submucosal tumors: a systematic review and meta-analysis. Surg Endosc. 2017 Jan. doi: 10.1007/s00464-016-4978-7.

20. Cao B, et al. Efficacy and safety of submucosal tunneling endoscopic resection for gastric submucosal tumors: a systematic review and meta-analysis. Rev Esp Enferm Dig. 2021 Jan. doi: 10.17235/reed.2020.6989/2020.

21. Cai M, et al. Endoscopic full-thickness resection (EFTR) for gastrointestinal subepithelial tumors. Gastrointest Endosc Clin N Am. 2016 Apr. doi: 10.1016/j.giec.2015.12.013.

22. Brigic A, et al. A systematic review regarding the feasibility and safety of endoscopic full thickness resection (EFTR) for colonic lesions. Surg Endosc. 2013 Oct. doi: 10.1007/s00464-013-2946-z.

Endoscopists are often faced with unique challenges in the management and resection of various gastrointestinal tract lesions. These challenges could be lesion-related, endoscopist-related, or practice-related (see Table 1). As our knowledge, tools and resources, and training significantly evolved in the modern era, there has been a remarkable rise in advanced endoscopic techniques for advanced tissue resection (ATR). Not only does this organ-sparing approach offer a less invasive alternative to surgery, but it has also proved to have outcomes comparable to those of surgical standard of practice in specific scenarios.

When Do You Refer to an Advanced Endoscopist?

One of the most critical steps in caring for patients with complex lesions is the ability to accurately determine whether a referral to an advanced endoscopist is warranted. The initial assessment of a lesion should always involve a careful assessment that risk stratifies the lesion depending on the location, size, neoplastic potential, and the feasibility of standard endoscopic resection compared to the need for surgical input.

A practical example in the case of colonic polyps is highlighted by the American Gastroenterology Association (AGA) guidelines recommending the referral of patients with polyps’ size ≥ 20 mm, challenging polypectomy location, or recurrent polyp at a prior polypectomy site to an endoscopic referral center.¹ In the case of subepithelial lesions without endoscopic characteristics of benign etiology (i.e., lipomas, pancreatic rests, etc.), the threshold for referral to advanced endoscopists for further diagnostic testing by means of endoscopic ultrasonography or for therapeutic ATR should be lower.

Endoscopic tissue resection follows a spectrum, which often involves deeper layers of the gastrointestinal tract (GIT) as we progress along this spectrum (see Figure 1).

Dr. Madi; Dr. Rengarajan, and Dr. Bazarbashi

ATR, a term encompassing a variety of endoscopic techniques ranging from endoscopic mucosal resection to full thickness resection, has gained traction over the last years given the ability to effectively remove various lesions in a precise time and cost-effective manner while maintaining the integrity of the GIT and avoiding major surgery. The indications for ATR vary depending on the technique, but generally include the presence of large or poorly positioned lesions, particularly in high-risk areas of the GIT such as the esophagus and small intestine, lesions extending beyond the mucosal layer or originating from deeper layers, and when en bloc resection of select lesions is necessary.

Saint Louis University School of Medicine

Endoscopic Mucosal Resection (EMR)

EMR is currently utilized for curative treatment of a wide array of GIT lesions limited to the mucosal layer, whether metaplastic, dysplastic, or even in cases with early mucosal cancer, where the risk of submucosal and lymphatic invasion is minimal.⁴ This makes EMR a versatile and proven therapy, often serving as the first-line treatment for many GIT lesions.

Washington University

EMR has various techniques that could be categorized into suction or non-suction (lift and cut) techniques. In the suction technique, devices like multiband mucosectomy (MBM) are commonly used, especially in nodular Barrett’s dysplasia, forming a pseudopolyp for subsequent resection. The procedure is characterized by its safety, efficacy, and cost-effectiveness, contributing to its widespread adoption in clinical practice. In the lift and cut approach, a submucosal injection is utilized to separate the muscularis propria from the lesion, thereby reducing the risk of perforation. Different solutions, such as normal saline, hypertonic saline, 50% dextrose, or proprietary submucosal injection solutions, are employed for submucosal injection.⁵

The non-suction technique using a snare to resect polyps after injection is more often used in colonic and small intestinal EMR. Resection can be done via thermal energy in the form of cut or coagulation; however, there is rising data on the use of piecemeal cold snare resection for select flat polyps of the colon.⁶ There is also promising data on the role of underwater EMR, a common technique employed for colonic lesions, particularly if the lesion does not lift well with submucosal injection.⁷

Adverse events associated with EMR include bleeding (7%-8%) and perforation (0.9%-2%).^8-9 Adequate submucosal fluid injection is crucial to prevent perforations. However, the main limitation of EMR is the piecemeal nature of resections for lesions larger than 20 mm, leading to compromised histopathologic evaluation for complete excision, especially in cases with superficial submucosal invasion (SMI). This can result in residual or recurrent tissue, reportedly 8% to 20%.¹⁰ Despite this limitation, EMR remains a reliable strategy, and recurrent lesions are generally manageable through repeat sessions. The importance of EMR as a therapeutic modality lies in its role in addressing lesions with favorable characteristics, where the risk of SMI is low.

Washington University

Endoscopic Submucosal Dissection (ESD)

ESD is an evolving technique that can be utilized for submucosal lesions of the GIT, lesions not amenable to EMR due to submucosal fibrosis, when en bloc removal of a lesion is needed for accurate histopathological diagnosis, and when other techniques fail.^11-12

ESD was only recently adopted in the United States, requires specialized training, and usually is a lengthier procedure than EMR.¹³ Compared to EMR, it has higher en bloc resection rates and lower recurrence rates, making it curative for lesions with superficial SMI and favorable histologic features.^4,14 The safety profile of ESD appears favorable, with most of the adverse events managed successfully by endoscopic methods. Major complications include intraoperative and delayed perforation, intraoperative and delayed bleeding, aspiration pneumonia, thromboembolism, and stricture formation in the case of circumferential lesions.¹⁵

Despite being technically challenging, ESD may provide a cost-effective long-term solution by avoiding surgery, reducing the need for additional interventions by minimizing recurrence rates. Given the technical complexity of ESD, particularly the submucosal dissection portion, techniques such as hybrid ESD developed. Hybrid ESD combines snaring with circumferential mucosal incision and partial submucosal dissection. Although it promises shorter procedure times, reduced complication rates like perforation, and similar recurrence rates compared to traditional ESD, studies have shown lower success rates in en bloc resection.^16-17

Both EMR and ESD are considered complementary strategies, and the choice between them should be dictated by lesion characteristics, patient preferences, and local expertise.
 

Submucosal Tunneling Endoscopic Resection (STER)

STER has emerged as a well-established technique for the endoscopic resection of GI subepithelial tumors (SETs) originating from the muscularis propria layer. The standard STER procedure involves a series of steps including submucosal elevation proximal to the SET, mucosotomy, creation of a submucosal tunnel, dissection of the SET within the tunnel, enucleation from the deep muscle layer, and subsequent specimen retrieval followed by mucosal closure.

This technique is typically recommended for SETs smaller than 3.5 cm, particularly those located in the mid or distal esophagus, cardia, or along the greater curvature of the gastric body.¹⁸ However, STER may pose technical challenges for larger SETs or lesions in anatomically difficult locations, where surgical resection is recommended instead.¹⁹ Notably, recent large-scale meta-analyses have showcased the favorable complete resection and en bloc resection rates of STER in treating GI SETs.²⁰

Endoscopic Full Thickness Resection (EFTR)

EFTR has emerged as a valuable technique in the endoscopic management of gastrointestinal lesions, particularly SETs and lesions not amenable to EMR or ESD due to fibrosis. EFTR involves the resection of all layers of the GIT from mucosa to serosa, and therefore is well-suited for SETs arising from the muscularis propria (MP).²⁰

EFTR entails two main concepts: tissue resection and complete defect closure. Conventional EFTR consists of several steps, which include mucosal and submucosal pre-cutting, circumferential incision, and dissection through the MP or serosa. This results in a full thickness defect, for which closure of the wall defect is achieved using standard endoscopic clips or a combination of clips and endoloops or endoscopic suturing.²¹ For lesions less than 2 cm, EFTR can be performed in a single step using a cap-mounted full thickness resection device (FTRD). This results in deployment of over-the-scope clip over the target lesion followed by snaring the lesions above the clip.²¹

Location of the SET generally dictates the specific modality of ATR. For example, esophageal SETs may be more amenable to STER given that the lesion typically runs parallel with the lumen of the tubular esophagus, which allows for easier dissection without the need of full or partial retroflexion. While gastric SETs can be resected with STER, it may be challenging and more effectively addressed with EFTR, particularly when the entire lesion can be grasped into the full-thickness resection device.²² Limited data exists for duodenal EFTR, and colorectal SETs closure is particularly challenging.
 

Conclusion

It is key to emphasize that ATR cannot be safely established in practice without the incorporation of a multidisciplinary team (surgeons, radiologists, etc.), specialized tools, and trained personnel. This requires dedicated endoscopic rooms, careful patient selection, and a comprehensive approach to patient care before, during, and after these procedures.

Moreover, it is important to note that some patients may require post-procedure hospitalization for observation to ensure no early complications are encountered. Optimal surveillance strategies after ATR rely heavily on the potential for residual or recurrent disease, underlying pathology, and the expertise of the advanced endoscopist. As the field continues to evolve, ongoing research and technological advances of devices will further enhance the efficacy and safety of ATR in gastroenterology.

Dr. Madi (@MahMadi90) is based in the Division of Gastroenterology and Hepatology, Saint Louis University School of Medicine, Saint Louis, Missouri. Dr. Rengarajan (@ArvindRenga) and Dr. Bazarbashi (@AhmadBazarbashi) are based in the Division of Gastroenterology, Washington University in St. Louis. The authors have no conflicts of interest to disclose, and no funding was required for this project.
 

References

1. Copland AP, et al. AGA Clinical Practice Update on appropriate and tailored polypectomy: Expert review. Clin Gastroenterol Hepatol. 2024 Mar. doi: 10.1016/j.cgh.2023.10.012.

2. Lee SP, et al. Effect of preceding biopsy on the results of endoscopic submucosal dissection for colorectal laterally spreading tumor. Dig Dis Sci. 2019 Oct. doi: 10.1007/s10620-019-05625-3.

3. Medina-Prado L, et al. When and how to use endoscopic tattooing in the colon: An international Delphi agreement. Clin Gastroenterol Hepatol. 2021 May. doi: 10.1016/j.cgh.2021.01.024.

4. Rashid MU, et al. EMR and ESD: Indications, techniques and results. Surg Oncol. 2022 Aug. doi: 10.1016/j.suronc.2022.101742.

5. Castro R, et al. Solutions for submucosal injection: What to choose and how to do it. World J Gastroenterol. 2019 Feb. doi: 10.3748/wjg.v25.i7.777.

6. Rex DK. Best practices for resection of diminutive and small polyps in the colorectum. Gastrointest Endosc Clin N Am. 2019 Oct. doi: 10.1016/j.giec.2019.06.004.

7. Lv XH, et al. Underwater EMR for nonpedunculated colorectal lesions. Gastrointest Endosc. 2023 Apr. doi: 10.1016/j.gie.2022.10.044.

8. Fujiya M, et al. Efficacy and adverse events of EMR and endoscopic submucosal dissection for the treatment of colon neoplasms: a meta-analysis of studies comparing EMR and endoscopic submucosal dissection. Gastrointest Endosc. 2015 Mar. doi: 10.1016/j.gie.2014.07.034.

9. Kandel P, Wallace MB. Colorectal endoscopic mucosal resection (EMR). Best Pract Res Clin Gastroenterol. 2017 Aug. doi: 10.1016/j.bpg.2017.05.006.

10. Kemper G, et al; ENDOCARE Study Group. Endoscopic techniques to reduce recurrence rates after colorectal EMR: systematic review and meta-analysis. Surg Endosc. 2021 Oct. doi: 10.1007/s00464-021-08574-z.

11. Goto O, et al. Expanding indications for ESD: submucosal disease (SMT/carcinoid tumors). Gastrointest Endosc Clin N Am. 2014 Apr. doi: 10.1016/j.giec.2013.11.006.

12. Wang K, et al. Endoscopic full-thickness resection, indication, methods and perspectives. Dig Endosc. 2023 Jan. doi: 10.1111/den.14474.

13. Herreros de Tejada A. ESD training: A challenging path to excellence. World J Gastrointest Endosc. 2014 Apr 16. doi: 10.4253/wjge.v6.i4.112.

14. Chiba H, et al. Safety and efficacy of simultaneous colorectal ESD for large synchronous colorectal lesions. Endosc Int Open. 2017 Jul. doi: 10.1055/s-0043-110567.

15. Mannath J, Ragunath K. Endoscopic mucosal resection: who and how? Therap Adv Gastroenterol. 2011 Sep. doi: 10.1177/1756283X10388683.

16. Wang XY, et al. Hybrid endoscopic submucosal dissection: An alternative resection modality for large laterally spreading tumors in the cecum? BMC Gastroenterol. 2021 May. doi: 10.1186/s12876-021-01766-w.

17. McCarty TR, et al. Hybrid endoscopic submucosal dissection (ESD) compared with conventional ESD for colorectal lesions: a systematic review and meta-analysis. Endoscopy. 2021 Oct. doi: 10.1055/a-1266-1855.

18. Jain D, et al. Submucosal tunneling endoscopic resection of upper gastrointestinal tract tumors arising from muscularis propria. Ann Gastroenterol. 2017 Feb. doi: 10.20524/aog.2017.0128.

19. Lv XH, et al. Efficacy and safety of submucosal tunneling endoscopic resection for upper gastrointestinal submucosal tumors: a systematic review and meta-analysis. Surg Endosc. 2017 Jan. doi: 10.1007/s00464-016-4978-7.

20. Cao B, et al. Efficacy and safety of submucosal tunneling endoscopic resection for gastric submucosal tumors: a systematic review and meta-analysis. Rev Esp Enferm Dig. 2021 Jan. doi: 10.17235/reed.2020.6989/2020.

21. Cai M, et al. Endoscopic full-thickness resection (EFTR) for gastrointestinal subepithelial tumors. Gastrointest Endosc Clin N Am. 2016 Apr. doi: 10.1016/j.giec.2015.12.013.

22. Brigic A, et al. A systematic review regarding the feasibility and safety of endoscopic full thickness resection (EFTR) for colonic lesions. Surg Endosc. 2013 Oct. doi: 10.1007/s00464-013-2946-z.

Endoscopists are often faced with unique challenges in the management and resection of various gastrointestinal tract lesions. These challenges could be lesion-related, endoscopist-related, or practice-related (see Table 1). As our knowledge, tools and resources, and training significantly evolved in the modern era, there has been a remarkable rise in advanced endoscopic techniques for advanced tissue resection (ATR). Not only does this organ-sparing approach offer a less invasive alternative to surgery, but it has also proved to have outcomes comparable to those of surgical standard of practice in specific scenarios.

When Do You Refer to an Advanced Endoscopist?

One of the most critical steps in caring for patients with complex lesions is the ability to accurately determine whether a referral to an advanced endoscopist is warranted. The initial assessment of a lesion should always involve a careful assessment that risk stratifies the lesion depending on the location, size, neoplastic potential, and the feasibility of standard endoscopic resection compared to the need for surgical input.

A practical example in the case of colonic polyps is highlighted by the American Gastroenterology Association (AGA) guidelines recommending the referral of patients with polyps’ size ≥ 20 mm, challenging polypectomy location, or recurrent polyp at a prior polypectomy site to an endoscopic referral center.¹ In the case of subepithelial lesions without endoscopic characteristics of benign etiology (i.e., lipomas, pancreatic rests, etc.), the threshold for referral to advanced endoscopists for further diagnostic testing by means of endoscopic ultrasonography or for therapeutic ATR should be lower.

Endoscopic tissue resection follows a spectrum, which often involves deeper layers of the gastrointestinal tract (GIT) as we progress along this spectrum (see Figure 1).

Dr. Madi; Dr. Rengarajan, and Dr. Bazarbashi

ATR, a term encompassing a variety of endoscopic techniques ranging from endoscopic mucosal resection to full thickness resection, has gained traction over the last years given the ability to effectively remove various lesions in a precise time and cost-effective manner while maintaining the integrity of the GIT and avoiding major surgery. The indications for ATR vary depending on the technique, but generally include the presence of large or poorly positioned lesions, particularly in high-risk areas of the GIT such as the esophagus and small intestine, lesions extending beyond the mucosal layer or originating from deeper layers, and when en bloc resection of select lesions is necessary.

Saint Louis University School of Medicine

Endoscopic Mucosal Resection (EMR)

EMR is currently utilized for curative treatment of a wide array of GIT lesions limited to the mucosal layer, whether metaplastic, dysplastic, or even in cases with early mucosal cancer, where the risk of submucosal and lymphatic invasion is minimal.⁴ This makes EMR a versatile and proven therapy, often serving as the first-line treatment for many GIT lesions.

Washington University

EMR has various techniques that could be categorized into suction or non-suction (lift and cut) techniques. In the suction technique, devices like multiband mucosectomy (MBM) are commonly used, especially in nodular Barrett’s dysplasia, forming a pseudopolyp for subsequent resection. The procedure is characterized by its safety, efficacy, and cost-effectiveness, contributing to its widespread adoption in clinical practice. In the lift and cut approach, a submucosal injection is utilized to separate the muscularis propria from the lesion, thereby reducing the risk of perforation. Different solutions, such as normal saline, hypertonic saline, 50% dextrose, or proprietary submucosal injection solutions, are employed for submucosal injection.⁵

The non-suction technique using a snare to resect polyps after injection is more often used in colonic and small intestinal EMR. Resection can be done via thermal energy in the form of cut or coagulation; however, there is rising data on the use of piecemeal cold snare resection for select flat polyps of the colon.⁶ There is also promising data on the role of underwater EMR, a common technique employed for colonic lesions, particularly if the lesion does not lift well with submucosal injection.⁷

Adverse events associated with EMR include bleeding (7%-8%) and perforation (0.9%-2%).^8-9 Adequate submucosal fluid injection is crucial to prevent perforations. However, the main limitation of EMR is the piecemeal nature of resections for lesions larger than 20 mm, leading to compromised histopathologic evaluation for complete excision, especially in cases with superficial submucosal invasion (SMI). This can result in residual or recurrent tissue, reportedly 8% to 20%.¹⁰ Despite this limitation, EMR remains a reliable strategy, and recurrent lesions are generally manageable through repeat sessions. The importance of EMR as a therapeutic modality lies in its role in addressing lesions with favorable characteristics, where the risk of SMI is low.

Washington University

Endoscopic Submucosal Dissection (ESD)

ESD is an evolving technique that can be utilized for submucosal lesions of the GIT, lesions not amenable to EMR due to submucosal fibrosis, when en bloc removal of a lesion is needed for accurate histopathological diagnosis, and when other techniques fail.^11-12

ESD was only recently adopted in the United States, requires specialized training, and usually is a lengthier procedure than EMR.¹³ Compared to EMR, it has higher en bloc resection rates and lower recurrence rates, making it curative for lesions with superficial SMI and favorable histologic features.^4,14 The safety profile of ESD appears favorable, with most of the adverse events managed successfully by endoscopic methods. Major complications include intraoperative and delayed perforation, intraoperative and delayed bleeding, aspiration pneumonia, thromboembolism, and stricture formation in the case of circumferential lesions.¹⁵

Despite being technically challenging, ESD may provide a cost-effective long-term solution by avoiding surgery, reducing the need for additional interventions by minimizing recurrence rates. Given the technical complexity of ESD, particularly the submucosal dissection portion, techniques such as hybrid ESD developed. Hybrid ESD combines snaring with circumferential mucosal incision and partial submucosal dissection. Although it promises shorter procedure times, reduced complication rates like perforation, and similar recurrence rates compared to traditional ESD, studies have shown lower success rates in en bloc resection.^16-17

Both EMR and ESD are considered complementary strategies, and the choice between them should be dictated by lesion characteristics, patient preferences, and local expertise.
 

Submucosal Tunneling Endoscopic Resection (STER)

STER has emerged as a well-established technique for the endoscopic resection of GI subepithelial tumors (SETs) originating from the muscularis propria layer. The standard STER procedure involves a series of steps including submucosal elevation proximal to the SET, mucosotomy, creation of a submucosal tunnel, dissection of the SET within the tunnel, enucleation from the deep muscle layer, and subsequent specimen retrieval followed by mucosal closure.

This technique is typically recommended for SETs smaller than 3.5 cm, particularly those located in the mid or distal esophagus, cardia, or along the greater curvature of the gastric body.¹⁸ However, STER may pose technical challenges for larger SETs or lesions in anatomically difficult locations, where surgical resection is recommended instead.¹⁹ Notably, recent large-scale meta-analyses have showcased the favorable complete resection and en bloc resection rates of STER in treating GI SETs.²⁰

Endoscopic Full Thickness Resection (EFTR)

EFTR has emerged as a valuable technique in the endoscopic management of gastrointestinal lesions, particularly SETs and lesions not amenable to EMR or ESD due to fibrosis. EFTR involves the resection of all layers of the GIT from mucosa to serosa, and therefore is well-suited for SETs arising from the muscularis propria (MP).²⁰

EFTR entails two main concepts: tissue resection and complete defect closure. Conventional EFTR consists of several steps, which include mucosal and submucosal pre-cutting, circumferential incision, and dissection through the MP or serosa. This results in a full thickness defect, for which closure of the wall defect is achieved using standard endoscopic clips or a combination of clips and endoloops or endoscopic suturing.²¹ For lesions less than 2 cm, EFTR can be performed in a single step using a cap-mounted full thickness resection device (FTRD). This results in deployment of over-the-scope clip over the target lesion followed by snaring the lesions above the clip.²¹

Location of the SET generally dictates the specific modality of ATR. For example, esophageal SETs may be more amenable to STER given that the lesion typically runs parallel with the lumen of the tubular esophagus, which allows for easier dissection without the need of full or partial retroflexion. While gastric SETs can be resected with STER, it may be challenging and more effectively addressed with EFTR, particularly when the entire lesion can be grasped into the full-thickness resection device.²² Limited data exists for duodenal EFTR, and colorectal SETs closure is particularly challenging.
 

Conclusion

It is key to emphasize that ATR cannot be safely established in practice without the incorporation of a multidisciplinary team (surgeons, radiologists, etc.), specialized tools, and trained personnel. This requires dedicated endoscopic rooms, careful patient selection, and a comprehensive approach to patient care before, during, and after these procedures.

Moreover, it is important to note that some patients may require post-procedure hospitalization for observation to ensure no early complications are encountered. Optimal surveillance strategies after ATR rely heavily on the potential for residual or recurrent disease, underlying pathology, and the expertise of the advanced endoscopist. As the field continues to evolve, ongoing research and technological advances of devices will further enhance the efficacy and safety of ATR in gastroenterology.

Dr. Madi (@MahMadi90) is based in the Division of Gastroenterology and Hepatology, Saint Louis University School of Medicine, Saint Louis, Missouri. Dr. Rengarajan (@ArvindRenga) and Dr. Bazarbashi (@AhmadBazarbashi) are based in the Division of Gastroenterology, Washington University in St. Louis. The authors have no conflicts of interest to disclose, and no funding was required for this project.
 

References

1. Copland AP, et al. AGA Clinical Practice Update on appropriate and tailored polypectomy: Expert review. Clin Gastroenterol Hepatol. 2024 Mar. doi: 10.1016/j.cgh.2023.10.012.

2. Lee SP, et al. Effect of preceding biopsy on the results of endoscopic submucosal dissection for colorectal laterally spreading tumor. Dig Dis Sci. 2019 Oct. doi: 10.1007/s10620-019-05625-3.

3. Medina-Prado L, et al. When and how to use endoscopic tattooing in the colon: An international Delphi agreement. Clin Gastroenterol Hepatol. 2021 May. doi: 10.1016/j.cgh.2021.01.024.

4. Rashid MU, et al. EMR and ESD: Indications, techniques and results. Surg Oncol. 2022 Aug. doi: 10.1016/j.suronc.2022.101742.

5. Castro R, et al. Solutions for submucosal injection: What to choose and how to do it. World J Gastroenterol. 2019 Feb. doi: 10.3748/wjg.v25.i7.777.

6. Rex DK. Best practices for resection of diminutive and small polyps in the colorectum. Gastrointest Endosc Clin N Am. 2019 Oct. doi: 10.1016/j.giec.2019.06.004.

7. Lv XH, et al. Underwater EMR for nonpedunculated colorectal lesions. Gastrointest Endosc. 2023 Apr. doi: 10.1016/j.gie.2022.10.044.

8. Fujiya M, et al. Efficacy and adverse events of EMR and endoscopic submucosal dissection for the treatment of colon neoplasms: a meta-analysis of studies comparing EMR and endoscopic submucosal dissection. Gastrointest Endosc. 2015 Mar. doi: 10.1016/j.gie.2014.07.034.

9. Kandel P, Wallace MB. Colorectal endoscopic mucosal resection (EMR). Best Pract Res Clin Gastroenterol. 2017 Aug. doi: 10.1016/j.bpg.2017.05.006.

10. Kemper G, et al; ENDOCARE Study Group. Endoscopic techniques to reduce recurrence rates after colorectal EMR: systematic review and meta-analysis. Surg Endosc. 2021 Oct. doi: 10.1007/s00464-021-08574-z.

11. Goto O, et al. Expanding indications for ESD: submucosal disease (SMT/carcinoid tumors). Gastrointest Endosc Clin N Am. 2014 Apr. doi: 10.1016/j.giec.2013.11.006.

12. Wang K, et al. Endoscopic full-thickness resection, indication, methods and perspectives. Dig Endosc. 2023 Jan. doi: 10.1111/den.14474.

13. Herreros de Tejada A. ESD training: A challenging path to excellence. World J Gastrointest Endosc. 2014 Apr 16. doi: 10.4253/wjge.v6.i4.112.

14. Chiba H, et al. Safety and efficacy of simultaneous colorectal ESD for large synchronous colorectal lesions. Endosc Int Open. 2017 Jul. doi: 10.1055/s-0043-110567.

15. Mannath J, Ragunath K. Endoscopic mucosal resection: who and how? Therap Adv Gastroenterol. 2011 Sep. doi: 10.1177/1756283X10388683.

16. Wang XY, et al. Hybrid endoscopic submucosal dissection: An alternative resection modality for large laterally spreading tumors in the cecum? BMC Gastroenterol. 2021 May. doi: 10.1186/s12876-021-01766-w.

17. McCarty TR, et al. Hybrid endoscopic submucosal dissection (ESD) compared with conventional ESD for colorectal lesions: a systematic review and meta-analysis. Endoscopy. 2021 Oct. doi: 10.1055/a-1266-1855.

18. Jain D, et al. Submucosal tunneling endoscopic resection of upper gastrointestinal tract tumors arising from muscularis propria. Ann Gastroenterol. 2017 Feb. doi: 10.20524/aog.2017.0128.

19. Lv XH, et al. Efficacy and safety of submucosal tunneling endoscopic resection for upper gastrointestinal submucosal tumors: a systematic review and meta-analysis. Surg Endosc. 2017 Jan. doi: 10.1007/s00464-016-4978-7.

20. Cao B, et al. Efficacy and safety of submucosal tunneling endoscopic resection for gastric submucosal tumors: a systematic review and meta-analysis. Rev Esp Enferm Dig. 2021 Jan. doi: 10.17235/reed.2020.6989/2020.

21. Cai M, et al. Endoscopic full-thickness resection (EFTR) for gastrointestinal subepithelial tumors. Gastrointest Endosc Clin N Am. 2016 Apr. doi: 10.1016/j.giec.2015.12.013.

22. Brigic A, et al. A systematic review regarding the feasibility and safety of endoscopic full thickness resection (EFTR) for colonic lesions. Surg Endosc. 2013 Oct. doi: 10.1007/s00464-013-2946-z.

Click here to view more from Gastroenterology Data Trends 2024

Click here to view more from Gastroenterology Data Trends 2024

Click here to view more from Gastroenterology Data Trends 2024

Gastroenterology

January 2024

Hirano I, et al; ASCENT WORKING GROUP. Ascending to New Heights for Novel Therapeutics for Eosinophilic Esophagitis. Gastroenterology. 2024 Jan;166(1):1-10. doi: 10.1053/j.gastro.2023.09.004. Epub 2023 Sep 9. PMID: 37690772; PMCID: PMC10872872.



Åkerström JH, et al. Antireflux Surgery Versus Antireflux Medication and Risk of Esophageal Adenocarcinoma in Patients With Barrett’s Esophagus. Gastroenterology. 2024 Jan;166(1):132-138.e3. doi: 10.1053/j.gastro.2023.08.050. Epub 2023 Sep 9. PMID: 37690771.



Barnes EL, et al; AGA Clinical Guidelines Committee. AGA Clinical Practice Guideline on the Management of Pouchitis and Inflammatory Pouch Disorders. Gastroenterology. 2024 Jan;166(1):59-85. doi: 10.1053/j.gastro.2023.10.015. PMID: 38128971.

February 2024

Yoo HW, et al. Helicobacter pylori Treatment and Gastric Cancer Risk After Endoscopic Resection of Dysplasia: A Nationwide Cohort Study. Gastroenterology. 2024 Feb;166(2):313-322.e3. doi: 10.1053/j.gastro.2023.10.013. Epub 2023 Oct 18. PMID: 37863270.



Yang J, et al. High Soluble Fiber Promotes Colorectal Tumorigenesis Through Modulating Gut Microbiota and Metabolites in Mice. Gastroenterology. 2024 Feb;166(2):323-337.e7. doi: 10.1053/j.gastro.2023.10.012. Epub 2023 Oct 18. PMID: 37858797.



Young E, et al. Texture and Color Enhancement Imaging Improves Colonic Adenoma Detection: A Multicenter Randomized Controlled Trial. Gastroenterology. 2024 Feb;166(2):338-340.e3. doi: 10.1053/j.gastro.2023.10.008. Epub 2023 Oct 14. PMID: 37839498.
 

Clinical Gastroenterology and Hepatology

January 2024

Overbeek KA, et al; Dutch Familial Pancreatic Cancer Surveillance Study work group. Intraductal Papillary Mucinous Neoplasms in High-Risk Individuals: Incidence, Growth Rate, and Malignancy Risk. Clin Gastroenterol Hepatol. 2024 Jan;22(1):62-71.e7. doi: 10.1016/j.cgh.2023.03.035. Epub 2023 Apr 7. PMID: 37031711.

Reddy CA, et al. Achalasia is Strongly Associated With Eosinophilic Esophagitis and Other Allergic Disorders. Clin Gastroenterol Hepatol. 2024 Jan;22(1):34-41.e2. doi: 10.1016/j.cgh.2023.06.013. Epub 2023 Jun 28. PMID: 37391057; PMCID: PMC10753026.

Thiruvengadam NR, et al. The Clinical Impact and Cost-Effectiveness of Surveillance of Incidentally Detected Gastric Intestinal Metaplasia: A Microsimulation Analysis. Clin Gastroenterol Hepatol. 2024 Jan;22(1):51-61. doi: 10.1016/j.cgh.2023.05.028. Epub 2023 Jun 9. Erratum in: Clin Gastroenterol Hepatol. 2024 Jan 19;: PMID: 37302442.

February 2024

Goodoory VC, et al. Systematic Review and Meta-analysis: Efficacy of Mesalamine in Irritable Bowel Syndrome. Clin Gastroenterol Hepatol. 2024 Feb;22(2):243-251.e5. doi: 10.1016/j.cgh.2023.02.014. Epub 2023 Feb 27. PMID: 36858143.

Brenner DM, et al. Development and Current State of Digital Therapeutics for Irritable Bowel Syndrome. Clin Gastroenterol Hepatol. 2024 Feb;22(2):222-234. doi: 10.1016/j.cgh.2023.09.013. Epub 2023 Sep 22. PMID: 37743035.
 

Techniques and Innovations in Gastrointestinal Endoscopy

January 2024

Ramirez PR, et al. Gaps and Improvement Opportunities in Post-Colonoscopy Communication. Tech Innov Gastrointest Endosc. 2024 Jan;26(1):90-92. doi: 10.1016/j.tige.2023.10.001. Epub 2023 Oct 22.

Gonzaga ER, et al. Gastric Peroral Endoscopic Myotomy (G-POEM) for the Management of Gastroparesis. Tech Innov Gastrointest Endosc. 2024 Jan; 26(1): 46-55. doi: 10.1016/j.tige.2023.09.002. Epub 2023 Oct 13.



Wang D, et al. Sphincterotomy vs Sham Procedure for Pain Relief in Sphincter of Oddi Dysfunction: Systematic Review and Meta-analysis. Tech Innov Gastrointest Endosc. 2024 Jan;26(1): 30-37. doi: 10.1016/j.tige.2023.10.003. Epub 2023 Nov 8.
 

Gastro Hep Advances

January 2024

Adeniran E, et al. Intense and Sustained Alcohol Consumption Associated With Acute Pancreatitis Warrants Early Intervention. Gastro Hep Advances. 2024 Jan;3(1):61-63. doi: 10.1016/j.gastha.2023.08.017. Epub 2023 Sep 2.

Alkhouri N, et al. A Novel Prescription Digital Therapeutic Option for the Treatment of Metabolic Dysfunction-Associated Steatotic Liver Disease. Gastro Hep Advances. 2024 Jan;3(1): 9-16. doi: 10.1016/j.gastha.2023.08.019. Epub 2023 Oct 1.

Gastroenterology

January 2024

Hirano I, et al; ASCENT WORKING GROUP. Ascending to New Heights for Novel Therapeutics for Eosinophilic Esophagitis. Gastroenterology. 2024 Jan;166(1):1-10. doi: 10.1053/j.gastro.2023.09.004. Epub 2023 Sep 9. PMID: 37690772; PMCID: PMC10872872.



Åkerström JH, et al. Antireflux Surgery Versus Antireflux Medication and Risk of Esophageal Adenocarcinoma in Patients With Barrett’s Esophagus. Gastroenterology. 2024 Jan;166(1):132-138.e3. doi: 10.1053/j.gastro.2023.08.050. Epub 2023 Sep 9. PMID: 37690771.



Barnes EL, et al; AGA Clinical Guidelines Committee. AGA Clinical Practice Guideline on the Management of Pouchitis and Inflammatory Pouch Disorders. Gastroenterology. 2024 Jan;166(1):59-85. doi: 10.1053/j.gastro.2023.10.015. PMID: 38128971.

February 2024

Yoo HW, et al. Helicobacter pylori Treatment and Gastric Cancer Risk After Endoscopic Resection of Dysplasia: A Nationwide Cohort Study. Gastroenterology. 2024 Feb;166(2):313-322.e3. doi: 10.1053/j.gastro.2023.10.013. Epub 2023 Oct 18. PMID: 37863270.



Yang J, et al. High Soluble Fiber Promotes Colorectal Tumorigenesis Through Modulating Gut Microbiota and Metabolites in Mice. Gastroenterology. 2024 Feb;166(2):323-337.e7. doi: 10.1053/j.gastro.2023.10.012. Epub 2023 Oct 18. PMID: 37858797.



Young E, et al. Texture and Color Enhancement Imaging Improves Colonic Adenoma Detection: A Multicenter Randomized Controlled Trial. Gastroenterology. 2024 Feb;166(2):338-340.e3. doi: 10.1053/j.gastro.2023.10.008. Epub 2023 Oct 14. PMID: 37839498.
 

Clinical Gastroenterology and Hepatology

January 2024

Overbeek KA, et al; Dutch Familial Pancreatic Cancer Surveillance Study work group. Intraductal Papillary Mucinous Neoplasms in High-Risk Individuals: Incidence, Growth Rate, and Malignancy Risk. Clin Gastroenterol Hepatol. 2024 Jan;22(1):62-71.e7. doi: 10.1016/j.cgh.2023.03.035. Epub 2023 Apr 7. PMID: 37031711.

Reddy CA, et al. Achalasia is Strongly Associated With Eosinophilic Esophagitis and Other Allergic Disorders. Clin Gastroenterol Hepatol. 2024 Jan;22(1):34-41.e2. doi: 10.1016/j.cgh.2023.06.013. Epub 2023 Jun 28. PMID: 37391057; PMCID: PMC10753026.

Thiruvengadam NR, et al. The Clinical Impact and Cost-Effectiveness of Surveillance of Incidentally Detected Gastric Intestinal Metaplasia: A Microsimulation Analysis. Clin Gastroenterol Hepatol. 2024 Jan;22(1):51-61. doi: 10.1016/j.cgh.2023.05.028. Epub 2023 Jun 9. Erratum in: Clin Gastroenterol Hepatol. 2024 Jan 19;: PMID: 37302442.

February 2024

Goodoory VC, et al. Systematic Review and Meta-analysis: Efficacy of Mesalamine in Irritable Bowel Syndrome. Clin Gastroenterol Hepatol. 2024 Feb;22(2):243-251.e5. doi: 10.1016/j.cgh.2023.02.014. Epub 2023 Feb 27. PMID: 36858143.

Brenner DM, et al. Development and Current State of Digital Therapeutics for Irritable Bowel Syndrome. Clin Gastroenterol Hepatol. 2024 Feb;22(2):222-234. doi: 10.1016/j.cgh.2023.09.013. Epub 2023 Sep 22. PMID: 37743035.
 

Techniques and Innovations in Gastrointestinal Endoscopy

January 2024

Ramirez PR, et al. Gaps and Improvement Opportunities in Post-Colonoscopy Communication. Tech Innov Gastrointest Endosc. 2024 Jan;26(1):90-92. doi: 10.1016/j.tige.2023.10.001. Epub 2023 Oct 22.

Gonzaga ER, et al. Gastric Peroral Endoscopic Myotomy (G-POEM) for the Management of Gastroparesis. Tech Innov Gastrointest Endosc. 2024 Jan; 26(1): 46-55. doi: 10.1016/j.tige.2023.09.002. Epub 2023 Oct 13.



Wang D, et al. Sphincterotomy vs Sham Procedure for Pain Relief in Sphincter of Oddi Dysfunction: Systematic Review and Meta-analysis. Tech Innov Gastrointest Endosc. 2024 Jan;26(1): 30-37. doi: 10.1016/j.tige.2023.10.003. Epub 2023 Nov 8.
 

Gastro Hep Advances

January 2024

Adeniran E, et al. Intense and Sustained Alcohol Consumption Associated With Acute Pancreatitis Warrants Early Intervention. Gastro Hep Advances. 2024 Jan;3(1):61-63. doi: 10.1016/j.gastha.2023.08.017. Epub 2023 Sep 2.

Alkhouri N, et al. A Novel Prescription Digital Therapeutic Option for the Treatment of Metabolic Dysfunction-Associated Steatotic Liver Disease. Gastro Hep Advances. 2024 Jan;3(1): 9-16. doi: 10.1016/j.gastha.2023.08.019. Epub 2023 Oct 1.

Gastroenterology

January 2024

Hirano I, et al; ASCENT WORKING GROUP. Ascending to New Heights for Novel Therapeutics for Eosinophilic Esophagitis. Gastroenterology. 2024 Jan;166(1):1-10. doi: 10.1053/j.gastro.2023.09.004. Epub 2023 Sep 9. PMID: 37690772; PMCID: PMC10872872.



Åkerström JH, et al. Antireflux Surgery Versus Antireflux Medication and Risk of Esophageal Adenocarcinoma in Patients With Barrett’s Esophagus. Gastroenterology. 2024 Jan;166(1):132-138.e3. doi: 10.1053/j.gastro.2023.08.050. Epub 2023 Sep 9. PMID: 37690771.



Barnes EL, et al; AGA Clinical Guidelines Committee. AGA Clinical Practice Guideline on the Management of Pouchitis and Inflammatory Pouch Disorders. Gastroenterology. 2024 Jan;166(1):59-85. doi: 10.1053/j.gastro.2023.10.015. PMID: 38128971.

February 2024

Yoo HW, et al. Helicobacter pylori Treatment and Gastric Cancer Risk After Endoscopic Resection of Dysplasia: A Nationwide Cohort Study. Gastroenterology. 2024 Feb;166(2):313-322.e3. doi: 10.1053/j.gastro.2023.10.013. Epub 2023 Oct 18. PMID: 37863270.



Yang J, et al. High Soluble Fiber Promotes Colorectal Tumorigenesis Through Modulating Gut Microbiota and Metabolites in Mice. Gastroenterology. 2024 Feb;166(2):323-337.e7. doi: 10.1053/j.gastro.2023.10.012. Epub 2023 Oct 18. PMID: 37858797.



Young E, et al. Texture and Color Enhancement Imaging Improves Colonic Adenoma Detection: A Multicenter Randomized Controlled Trial. Gastroenterology. 2024 Feb;166(2):338-340.e3. doi: 10.1053/j.gastro.2023.10.008. Epub 2023 Oct 14. PMID: 37839498.
 

Clinical Gastroenterology and Hepatology

January 2024

Overbeek KA, et al; Dutch Familial Pancreatic Cancer Surveillance Study work group. Intraductal Papillary Mucinous Neoplasms in High-Risk Individuals: Incidence, Growth Rate, and Malignancy Risk. Clin Gastroenterol Hepatol. 2024 Jan;22(1):62-71.e7. doi: 10.1016/j.cgh.2023.03.035. Epub 2023 Apr 7. PMID: 37031711.

Reddy CA, et al. Achalasia is Strongly Associated With Eosinophilic Esophagitis and Other Allergic Disorders. Clin Gastroenterol Hepatol. 2024 Jan;22(1):34-41.e2. doi: 10.1016/j.cgh.2023.06.013. Epub 2023 Jun 28. PMID: 37391057; PMCID: PMC10753026.

Thiruvengadam NR, et al. The Clinical Impact and Cost-Effectiveness of Surveillance of Incidentally Detected Gastric Intestinal Metaplasia: A Microsimulation Analysis. Clin Gastroenterol Hepatol. 2024 Jan;22(1):51-61. doi: 10.1016/j.cgh.2023.05.028. Epub 2023 Jun 9. Erratum in: Clin Gastroenterol Hepatol. 2024 Jan 19;: PMID: 37302442.

February 2024

Goodoory VC, et al. Systematic Review and Meta-analysis: Efficacy of Mesalamine in Irritable Bowel Syndrome. Clin Gastroenterol Hepatol. 2024 Feb;22(2):243-251.e5. doi: 10.1016/j.cgh.2023.02.014. Epub 2023 Feb 27. PMID: 36858143.

Brenner DM, et al. Development and Current State of Digital Therapeutics for Irritable Bowel Syndrome. Clin Gastroenterol Hepatol. 2024 Feb;22(2):222-234. doi: 10.1016/j.cgh.2023.09.013. Epub 2023 Sep 22. PMID: 37743035.
 

Techniques and Innovations in Gastrointestinal Endoscopy

January 2024

Ramirez PR, et al. Gaps and Improvement Opportunities in Post-Colonoscopy Communication. Tech Innov Gastrointest Endosc. 2024 Jan;26(1):90-92. doi: 10.1016/j.tige.2023.10.001. Epub 2023 Oct 22.

Gonzaga ER, et al. Gastric Peroral Endoscopic Myotomy (G-POEM) for the Management of Gastroparesis. Tech Innov Gastrointest Endosc. 2024 Jan; 26(1): 46-55. doi: 10.1016/j.tige.2023.09.002. Epub 2023 Oct 13.



Wang D, et al. Sphincterotomy vs Sham Procedure for Pain Relief in Sphincter of Oddi Dysfunction: Systematic Review and Meta-analysis. Tech Innov Gastrointest Endosc. 2024 Jan;26(1): 30-37. doi: 10.1016/j.tige.2023.10.003. Epub 2023 Nov 8.
 

Gastro Hep Advances

January 2024

Adeniran E, et al. Intense and Sustained Alcohol Consumption Associated With Acute Pancreatitis Warrants Early Intervention. Gastro Hep Advances. 2024 Jan;3(1):61-63. doi: 10.1016/j.gastha.2023.08.017. Epub 2023 Sep 2.

Alkhouri N, et al. A Novel Prescription Digital Therapeutic Option for the Treatment of Metabolic Dysfunction-Associated Steatotic Liver Disease. Gastro Hep Advances. 2024 Jan;3(1): 9-16. doi: 10.1016/j.gastha.2023.08.019. Epub 2023 Oct 1.

Dear colleagues,

Since our prior Perspectives piece on artificial intelligence (AI) in GI and Hepatology in 2022, the field has seen almost exponential growth. Expectations are high that AI will revolutionize our field and significantly improve patient care. But as the global discussion on AI has shown, there are real challenges with adoption, including issues with accuracy, reliability, and privacy.

In this issue, Dr. Nabil M. Mansour and Dr. Thomas R. McCarty explore the current and future impact of AI on gastroenterology, while Dr. Basile Njei and Yazan A. Al Ajlouni assess its role in hepatology. We hope these pieces will help your discussions in incorporating or researching AI for use in your own practices. We welcome your thoughts on this issue on X @AGA_GIHN.

Gyanprakash A. Ketwaroo, MD, MSc, is associate professor of medicine, Yale University, New Haven, Conn., and chief of endoscopy at West Haven (Conn.) VA Medical Center. He is an associate editor for GI & Hepatology News.

Artificial Intelligence in Gastrointestinal Endoscopy

BY THOMAS R. MCCARTY, MD, MPH; NABIL M. MANSOUR, MD

The last few decades have seen an exponential increase and interest in the role of artificial intelligence (AI) and adoption of deep learning algorithms within healthcare and patient care services. The field of gastroenterology and endoscopy has similarly seen a tremendous uptake in acceptance and implementation of AI for a variety of gastrointestinal conditions. The spectrum of AI-based applications includes detection or diagnostic-based as well as therapeutic assistance tools. From the first US Food and Drug Administration (FDA)-approved device that uses machine learning to assist clinicians in detecting lesions during colonoscopy, to other more innovative machine learning techniques for small bowel, esophageal, and hepatobiliary conditions, AI has dramatically changed the landscape of gastrointestinal endoscopy.

Baylor College of Medicine

Ultimately, this data led to FDA approval of the CADe system GI Genius (Medtronic, Dublin, Ireland) in 2021.⁴ Additional systems have since been FDA approved or 510(k) cleared including Endoscreener (Wision AI, Shanghai, China), SKOUT (Iterative Health, Cambridge, Massachusetts), MAGENTIQ-COLO (MAGENTIQ-EYE LTD, Haifa, Israel), and CAD EYE (Fujifilm, Tokyo), all of which have shown increased ADR and/or increased APC and/or reduced adenoma miss rates in randomized trials.⁵

Yet despite the promise of improved quality and subsequent translation to better patient outcomes, there has been a noticeable disconnect between RCT data and more real-world literature.⁶ In a recent study, no improvement was seen in ADR after implementation of a CADe system for colorectal cancer screening — including both higher and lower-ADR performers. Looking at change over time after implementation, CADe had no positive effect in any group over time, divergent from early RCT data. In a more recent multicenter, community-based RCT study, again CADe did not result in a statistically significant difference in the number of adenomas detected.⁷ The differences between some of these more recent “real-world” studies vs the majority of data from RCTs raise important questions regarding the potential of bias (due to unblinding) in prospective trials, as well as the role of the human-AI interaction.

Importantly for RCT data, both cohorts in these studies met adequate ADR benchmarks, though it remains unclear whether a truly increased ADR necessitates better patient outcomes — is higher always better? In addition, an important consideration with evaluating any AI/CADe system is that they often undergo frequent updates, each promising improved accuracy, sensitivity, and specificity. This is an interesting dilemma and raises questions about the enduring relevance of studies conducted using an outdated version of a CADe system.

Additional unanswered questions regarding an ideal ADR for implementation, preferred patient populations for screening (especially for younger individuals), and the role and adoption of computer-aided polyp diagnosis/characterization (CADx) within the United States remain. Furthermore, questions regarding procedural withdrawal time, impact on sessile serrated lesion detection, cost-effectiveness, and preferred adoption strategies have begun to be explored, though require more data to better define a best practice approach. Ultimately, answers to some of these unknowns may explain the discordant results and help guide future implementation measures.

Innovative applications for alternative gastrointestinal conditions

Given the fervor and excitement, as well as the outcomes associated with AI-based colorectal screening, it is not surprising these techniques have been expanded to other gastrointestinal conditions. At this time, all of these are fledgling, mostly single-center tools, not yet ready for widespread adoption. Nonetheless, these represent a potentially important step forward for difficult-to-manage gastrointestinal diseases.

Machine learning CADe systems have been developed to help identify early Barrett’s neoplasia, depth and invasion of gastric cancer, as well as lesion detection in small bowel video capsule endoscopy.^8-10 Endoscopic retrograde cholangiopancreatography (ERCP)-based applications for cholangiocarcinoma and indeterminate stricture diagnosis have also been studied.¹¹ Additional AI-based algorithms have been employed for complex procedures such as endoscopic submucosal dissection (ESD) or peroral endoscopic myotomy (POEM) to delineate vessels, better define tissue planes for dissection, and visualize landmark structures.^12,13 Furthermore, AI-based scope guidance/manipulation, bleeding detection, landmark identification, and lesion detection have the potential to revolutionize endoscopic training and education. The impact that generative AI can potentially have on clinical practice is also an exciting prospect that warrants further investigation.

Artificial intelligence adoption in clinical practice

Clinical practice with regard to AI and colorectal cancer screening largely mirrors the disconnect in the current literature, with “believers” and “non-believers” as well as innovators and early adopters alongside laggards. In our own academic practices, we continue to struggle with the adoption and standardized implementation of AI-based colorectal cancer CADe systems, despite the RCT data showing positive results. It is likely that AI uptake will follow the technology predictions of Amara’s Law — i.e., individuals tend to overestimate the short-term impact of new technologies while underestimating long-term effects. In the end, more widespread adoption in community practice and larger scale real-world clinical outcomes studies are likely to determine the true impact of these exciting technologies. For other, less established AI-based tools, more data are currently required.

Conclusions

Ultimately, AI-based algorithms are likely here to stay, with continued improvement and evolution to occur based on provider feedback and patient care needs. Current tools, while not all-encompassing, have the potential to dramatically change the landscape of endoscopic training, diagnostic evaluation, and therapeutic care. It is critically important that relevant stakeholders, both endoscopists and patients, be involved in future applications and design to improve efficiency and quality outcomes overall.

Dr. McCarty is based in the Lynda K. and David M. Underwood Center for Digestive Disorders, Houston Methodist Hospital. Dr. Mansour is based in the section of gastroenterology, Baylor College of Medicine, Houston. Dr. McCarty reports no conflicts of interest. Dr. Mansour reports having been a consultant for Iterative Health.

References

1. Repici A, et al. Efficacy of real-time computer-aided detection of colorectal neoplasia in a randomized trial. Gastroenterology. 2020 Aug. doi: 10.1053/j.gastro.2020.04.062.

2. Repici A, et al. Artificial intelligence and colonoscopy experience: Lessons from two randomised trials. Gut. Apr 2022. doi: 10.1136/gutjnl-2021-324471.

3. Wallace MB, et al. Impact of artificial intelligence on miss rate of colorectal neoplasia. Gastroenterology 2022 Jul. doi: 10.1053/j.gastro.2022.03.007.

4. United States Food and Drug Administration (FDA). GI Genius FDA Approval [April 9, 2021]. Accessed January 5, 2022. Available at: www.accessdata.fda.gov/cdrh_docs/pdf21/K211951.pdf.

5. Maas MHJ, et al. A computer-aided polyp detection system in screening and surveillance colonoscopy: An international, multicentre, randomised, tandem trial. Lancet Digit Health. 2024 Mar. doi: 10.1016/S2589-7500(23)00242-X.

6. Ladabaum U, et al. Computer-aided detection of polyps does not improve colonoscopist performance in a pragmatic implementation trial. Gastroenterology. 2023 Mar. doi: 10.1053/j.gastro.2022.12.004.

7. Wei MT, et al. Evaluation of computer-aided detection during colonoscopy in the community (AI-SEE): A multicenter randomized clinical trial. Am J Gastroenterol. 2023 Oct. doi: 10.14309/ajg.0000000000002239.

8. de Groof J, et al. The Argos project: The development of a computer-aided detection system to improve detection of Barrett’s neoplasia on white light endoscopy. United European Gastroenterol J. 2019 May. doi: 10.1177/2050640619837443.

9. Kanesaka T, et al. Computer-aided diagnosis for identifying and delineating early gastric cancers in magnifying narrow-band imaging. Gastrointest Endosc. 2018 May. doi: 10.1016/j.gie.2017.11.029.

10. Sahafi A, et al. Edge artificial intelligence wireless video capsule endoscopy. Sci Rep. 2022 Aug. doi: 10.1038/s41598-022-17502-7.

11. Njei B, et al. Artificial intelligence in endoscopic imaging for detection of malignant biliary strictures and cholangiocarcinoma: A systematic review. Ann Gastroenterol. 2023 Mar-Apr. doi: 10.20524/aog.2023.0779.

12. Ebigbo A, et al. Vessel and tissue recognition during third-space endoscopy using a deep learning algorithm. Gut. 2022 Dec. doi: 10.1136/gutjnl-2021-326470.

13. Cao J, et al. Intelligent surgical workflow recognition for endoscopic submucosal dissection with real-time animal study. Nat Commun. 2023 Oct. doi: 10.1038/s41467-023-42451-8.

The Promise and Challenges of AI in Hepatology

BY BASILE NJEI, MD, MPH, PHD; YAZAN A. AL-AJLOUNI, MPHIL

In the dynamic realm of medicine, artificial intelligence (AI) emerges as a transformative force, notably within hepatology. The discipline of hepatology, dedicated to liver and related organ diseases, is ripe for AI’s promise to revolutionize diagnostics and treatment, pushing toward a future of precision medicine. Yet, the path to fully realizing AI’s potential in hepatology is laced with data, ethical, and integration challenges.

The application of AI, particularly in histopathology, significantly enhances disease diagnosis and staging in hepatology. AI-driven approaches remedy traditional histopathological challenges, such as interpretative variability, providing more consistent and accurate disease analyses. This is especially evident in conditions like metabolic dysfunction-associated steatohepatitis (MASH) and hepatocellular carcinoma (HCC), where AI aids in identifying critical gene signatures, thereby refining therapy selection.

Yale School of Medicine

Similarly, deep learning (DL), a branch of AI, has attracted significant interest globally, particularly in image recognition. AI’s incorporation into medical imaging marks a significant advancement, enabling early detection of malignancies like HCC and improving diagnostics in steatotic liver disease through enhanced imaging analyses using convolutional neural networks (CNN). The abundance of imaging data alongside clinical outcomes has catalyzed AI’s integration into radiology, leading to the swift growth of radiomics as a novel domain in medical research.

AI has also been shown to identify nuanced alterations in electrocardiograms (EKGs) associated with liver conditions, potentially detecting the progression of liver diseases at an earlier stage than currently possible. By leveraging complex algorithms and machine learning, AI can analyze EKG patterns with a precision and depth unattainable through traditional manual interpretation. Given that liver diseases, such as cirrhosis or hepatitis, can induce subtle cardiac changes long before other clinical symptoms manifest, early detection through AI-enhanced EKG analysis could lead to timely interventions, potentially halting or reversing disease progression. This approach further enriches our understanding of the intricate interplay between liver function and cardiac health, highlighting the potential for AI to transform not just liver disease diagnostics but also to foster a more integrated approach to patient care.

New York Medical College

Beyond diagnostics, the burgeoning field of generative AI introduces groundbreaking possibilities in treatment planning and patient education, particularly for chronic conditions like cirrhosis. Generative AI produces original content, including text, visuals, and music, by identifying and learning patterns from its training data. When it leverages large language models (LLMs), it entails training on vast collections of textual data and using AI models characterized by many parameters. A notable instance of generative AI employing LLMs is ChatGPT (General Pretrained Transformers). By simulating disease progression and treatment outcomes, generative AI can foster personalized treatment strategies and empower patients with knowledge about their health trajectories. Yet, realizing these potential demands requires overcoming data quality and interpretability challenges, and ensuring AI outputs are accessible and actionable for clinicians and patients.

Despite these advancements, leveraging AI in hepatology is not devoid of hurdles. The development and training of AI models require extensive and diverse datasets, raising concerns about data privacy and ethical use. Addressing these concerns is paramount for successfully integrating AI into clinical hepatology practice, necessitating transparent algorithmic processes and stringent ethical standards. Ethical considerations are central to AI’s integration into hepatology. Algorithmic biases, patient privacy, and the impact of AI-driven decisions underscore the need for cautious AI deployment. Developing transparent, understandable algorithms and establishing ethical guidelines for AI use are critical steps towards ethically leveraging AI in patient care.

In conclusion, AI’s integration into hepatology holds tremendous promise for advancing patient care through enhanced diagnostics, treatment planning, and patient education. Overcoming the associated challenges, including ethical concerns, data diversity, and algorithm interpretability, is crucial. As the hepatology community navigates this technological evolution, a balanced approach that marries technological advancements with ethical stewardship will be key to harnessing AI’s full potential, ensuring it serves the best interests of patients and propels the field of hepatology into the future.

We predict a trajectory of increased use and adoption of AI in hepatology. AI in hepatology is likely to meet the test of pervasiveness, improvement, and innovation. The adoption of AI in routine hepatology diagnosis and management will likely follow Amara’s law and the five stages of the hype cycle. We believe that we are still in the infant stages of adopting AI technology in hepatology, and this phase may last 5 years before there is a peak of inflated expectations. The trough of disillusionment and slopes of enlightenment may only be observed in the next decades.

Dr. Njei is based in the Section of Digestive Diseases, Yale School of Medicine, New Haven, Conn. Mr. Al-Ajlouni is a senior medical student at New York Medical College School of Medicine, Valhalla, N.Y. They have no conflicts of interest to declare.

Sources

Taylor-Weiner A, et al. A Machine Learning Approach Enables Quantitative Measurement of Liver Histology and Disease Monitoring in NASH. Hepatology. 2021 Jul. doi: 10.1002/hep.31750.

Zeng Q, et al. Artificial intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology. J Hepatol. 2022 Jul. doi: 10.1016/j.jhep.2022.01.018.

Ahn JC, et al. Development of the AI-Cirrhosis-ECG Score: An Electrocardiogram-Based Deep Learning Model in Cirrhosis. Am J Gastroenterol. 2022 Mar. doi: 10.14309/ajg.0000000000001617.

Nduma BN, et al. The Application of Artificial Intelligence (AI)-Based Ultrasound for the Diagnosis of Fatty Liver Disease: A Systematic Review. Cureus. 2023 Dec 15. doi: 10.7759/cureus.50601.

Dear colleagues,

Since our prior Perspectives piece on artificial intelligence (AI) in GI and Hepatology in 2022, the field has seen almost exponential growth. Expectations are high that AI will revolutionize our field and significantly improve patient care. But as the global discussion on AI has shown, there are real challenges with adoption, including issues with accuracy, reliability, and privacy.

In this issue, Dr. Nabil M. Mansour and Dr. Thomas R. McCarty explore the current and future impact of AI on gastroenterology, while Dr. Basile Njei and Yazan A. Al Ajlouni assess its role in hepatology. We hope these pieces will help your discussions in incorporating or researching AI for use in your own practices. We welcome your thoughts on this issue on X @AGA_GIHN.

Gyanprakash A. Ketwaroo, MD, MSc, is associate professor of medicine, Yale University, New Haven, Conn., and chief of endoscopy at West Haven (Conn.) VA Medical Center. He is an associate editor for GI & Hepatology News.

Artificial Intelligence in Gastrointestinal Endoscopy

BY THOMAS R. MCCARTY, MD, MPH; NABIL M. MANSOUR, MD

The last few decades have seen an exponential increase and interest in the role of artificial intelligence (AI) and adoption of deep learning algorithms within healthcare and patient care services. The field of gastroenterology and endoscopy has similarly seen a tremendous uptake in acceptance and implementation of AI for a variety of gastrointestinal conditions. The spectrum of AI-based applications includes detection or diagnostic-based as well as therapeutic assistance tools. From the first US Food and Drug Administration (FDA)-approved device that uses machine learning to assist clinicians in detecting lesions during colonoscopy, to other more innovative machine learning techniques for small bowel, esophageal, and hepatobiliary conditions, AI has dramatically changed the landscape of gastrointestinal endoscopy.

Baylor College of Medicine

Ultimately, this data led to FDA approval of the CADe system GI Genius (Medtronic, Dublin, Ireland) in 2021.⁴ Additional systems have since been FDA approved or 510(k) cleared including Endoscreener (Wision AI, Shanghai, China), SKOUT (Iterative Health, Cambridge, Massachusetts), MAGENTIQ-COLO (MAGENTIQ-EYE LTD, Haifa, Israel), and CAD EYE (Fujifilm, Tokyo), all of which have shown increased ADR and/or increased APC and/or reduced adenoma miss rates in randomized trials.⁵

Yet despite the promise of improved quality and subsequent translation to better patient outcomes, there has been a noticeable disconnect between RCT data and more real-world literature.⁶ In a recent study, no improvement was seen in ADR after implementation of a CADe system for colorectal cancer screening — including both higher and lower-ADR performers. Looking at change over time after implementation, CADe had no positive effect in any group over time, divergent from early RCT data. In a more recent multicenter, community-based RCT study, again CADe did not result in a statistically significant difference in the number of adenomas detected.⁷ The differences between some of these more recent “real-world” studies vs the majority of data from RCTs raise important questions regarding the potential of bias (due to unblinding) in prospective trials, as well as the role of the human-AI interaction.

Importantly for RCT data, both cohorts in these studies met adequate ADR benchmarks, though it remains unclear whether a truly increased ADR necessitates better patient outcomes — is higher always better? In addition, an important consideration with evaluating any AI/CADe system is that they often undergo frequent updates, each promising improved accuracy, sensitivity, and specificity. This is an interesting dilemma and raises questions about the enduring relevance of studies conducted using an outdated version of a CADe system.

Additional unanswered questions regarding an ideal ADR for implementation, preferred patient populations for screening (especially for younger individuals), and the role and adoption of computer-aided polyp diagnosis/characterization (CADx) within the United States remain. Furthermore, questions regarding procedural withdrawal time, impact on sessile serrated lesion detection, cost-effectiveness, and preferred adoption strategies have begun to be explored, though require more data to better define a best practice approach. Ultimately, answers to some of these unknowns may explain the discordant results and help guide future implementation measures.

Innovative applications for alternative gastrointestinal conditions

Given the fervor and excitement, as well as the outcomes associated with AI-based colorectal screening, it is not surprising these techniques have been expanded to other gastrointestinal conditions. At this time, all of these are fledgling, mostly single-center tools, not yet ready for widespread adoption. Nonetheless, these represent a potentially important step forward for difficult-to-manage gastrointestinal diseases.

Machine learning CADe systems have been developed to help identify early Barrett’s neoplasia, depth and invasion of gastric cancer, as well as lesion detection in small bowel video capsule endoscopy.^8-10 Endoscopic retrograde cholangiopancreatography (ERCP)-based applications for cholangiocarcinoma and indeterminate stricture diagnosis have also been studied.¹¹ Additional AI-based algorithms have been employed for complex procedures such as endoscopic submucosal dissection (ESD) or peroral endoscopic myotomy (POEM) to delineate vessels, better define tissue planes for dissection, and visualize landmark structures.^12,13 Furthermore, AI-based scope guidance/manipulation, bleeding detection, landmark identification, and lesion detection have the potential to revolutionize endoscopic training and education. The impact that generative AI can potentially have on clinical practice is also an exciting prospect that warrants further investigation.

Artificial intelligence adoption in clinical practice

Clinical practice with regard to AI and colorectal cancer screening largely mirrors the disconnect in the current literature, with “believers” and “non-believers” as well as innovators and early adopters alongside laggards. In our own academic practices, we continue to struggle with the adoption and standardized implementation of AI-based colorectal cancer CADe systems, despite the RCT data showing positive results. It is likely that AI uptake will follow the technology predictions of Amara’s Law — i.e., individuals tend to overestimate the short-term impact of new technologies while underestimating long-term effects. In the end, more widespread adoption in community practice and larger scale real-world clinical outcomes studies are likely to determine the true impact of these exciting technologies. For other, less established AI-based tools, more data are currently required.

Conclusions

Ultimately, AI-based algorithms are likely here to stay, with continued improvement and evolution to occur based on provider feedback and patient care needs. Current tools, while not all-encompassing, have the potential to dramatically change the landscape of endoscopic training, diagnostic evaluation, and therapeutic care. It is critically important that relevant stakeholders, both endoscopists and patients, be involved in future applications and design to improve efficiency and quality outcomes overall.

Dr. McCarty is based in the Lynda K. and David M. Underwood Center for Digestive Disorders, Houston Methodist Hospital. Dr. Mansour is based in the section of gastroenterology, Baylor College of Medicine, Houston. Dr. McCarty reports no conflicts of interest. Dr. Mansour reports having been a consultant for Iterative Health.

References

1. Repici A, et al. Efficacy of real-time computer-aided detection of colorectal neoplasia in a randomized trial. Gastroenterology. 2020 Aug. doi: 10.1053/j.gastro.2020.04.062.

2. Repici A, et al. Artificial intelligence and colonoscopy experience: Lessons from two randomised trials. Gut. Apr 2022. doi: 10.1136/gutjnl-2021-324471.

3. Wallace MB, et al. Impact of artificial intelligence on miss rate of colorectal neoplasia. Gastroenterology 2022 Jul. doi: 10.1053/j.gastro.2022.03.007.

4. United States Food and Drug Administration (FDA). GI Genius FDA Approval [April 9, 2021]. Accessed January 5, 2022. Available at: www.accessdata.fda.gov/cdrh_docs/pdf21/K211951.pdf.

5. Maas MHJ, et al. A computer-aided polyp detection system in screening and surveillance colonoscopy: An international, multicentre, randomised, tandem trial. Lancet Digit Health. 2024 Mar. doi: 10.1016/S2589-7500(23)00242-X.

6. Ladabaum U, et al. Computer-aided detection of polyps does not improve colonoscopist performance in a pragmatic implementation trial. Gastroenterology. 2023 Mar. doi: 10.1053/j.gastro.2022.12.004.

7. Wei MT, et al. Evaluation of computer-aided detection during colonoscopy in the community (AI-SEE): A multicenter randomized clinical trial. Am J Gastroenterol. 2023 Oct. doi: 10.14309/ajg.0000000000002239.

8. de Groof J, et al. The Argos project: The development of a computer-aided detection system to improve detection of Barrett’s neoplasia on white light endoscopy. United European Gastroenterol J. 2019 May. doi: 10.1177/2050640619837443.

9. Kanesaka T, et al. Computer-aided diagnosis for identifying and delineating early gastric cancers in magnifying narrow-band imaging. Gastrointest Endosc. 2018 May. doi: 10.1016/j.gie.2017.11.029.

10. Sahafi A, et al. Edge artificial intelligence wireless video capsule endoscopy. Sci Rep. 2022 Aug. doi: 10.1038/s41598-022-17502-7.

11. Njei B, et al. Artificial intelligence in endoscopic imaging for detection of malignant biliary strictures and cholangiocarcinoma: A systematic review. Ann Gastroenterol. 2023 Mar-Apr. doi: 10.20524/aog.2023.0779.

12. Ebigbo A, et al. Vessel and tissue recognition during third-space endoscopy using a deep learning algorithm. Gut. 2022 Dec. doi: 10.1136/gutjnl-2021-326470.

13. Cao J, et al. Intelligent surgical workflow recognition for endoscopic submucosal dissection with real-time animal study. Nat Commun. 2023 Oct. doi: 10.1038/s41467-023-42451-8.

The Promise and Challenges of AI in Hepatology

BY BASILE NJEI, MD, MPH, PHD; YAZAN A. AL-AJLOUNI, MPHIL

In the dynamic realm of medicine, artificial intelligence (AI) emerges as a transformative force, notably within hepatology. The discipline of hepatology, dedicated to liver and related organ diseases, is ripe for AI’s promise to revolutionize diagnostics and treatment, pushing toward a future of precision medicine. Yet, the path to fully realizing AI’s potential in hepatology is laced with data, ethical, and integration challenges.

The application of AI, particularly in histopathology, significantly enhances disease diagnosis and staging in hepatology. AI-driven approaches remedy traditional histopathological challenges, such as interpretative variability, providing more consistent and accurate disease analyses. This is especially evident in conditions like metabolic dysfunction-associated steatohepatitis (MASH) and hepatocellular carcinoma (HCC), where AI aids in identifying critical gene signatures, thereby refining therapy selection.

Yale School of Medicine

Similarly, deep learning (DL), a branch of AI, has attracted significant interest globally, particularly in image recognition. AI’s incorporation into medical imaging marks a significant advancement, enabling early detection of malignancies like HCC and improving diagnostics in steatotic liver disease through enhanced imaging analyses using convolutional neural networks (CNN). The abundance of imaging data alongside clinical outcomes has catalyzed AI’s integration into radiology, leading to the swift growth of radiomics as a novel domain in medical research.

AI has also been shown to identify nuanced alterations in electrocardiograms (EKGs) associated with liver conditions, potentially detecting the progression of liver diseases at an earlier stage than currently possible. By leveraging complex algorithms and machine learning, AI can analyze EKG patterns with a precision and depth unattainable through traditional manual interpretation. Given that liver diseases, such as cirrhosis or hepatitis, can induce subtle cardiac changes long before other clinical symptoms manifest, early detection through AI-enhanced EKG analysis could lead to timely interventions, potentially halting or reversing disease progression. This approach further enriches our understanding of the intricate interplay between liver function and cardiac health, highlighting the potential for AI to transform not just liver disease diagnostics but also to foster a more integrated approach to patient care.

New York Medical College

Beyond diagnostics, the burgeoning field of generative AI introduces groundbreaking possibilities in treatment planning and patient education, particularly for chronic conditions like cirrhosis. Generative AI produces original content, including text, visuals, and music, by identifying and learning patterns from its training data. When it leverages large language models (LLMs), it entails training on vast collections of textual data and using AI models characterized by many parameters. A notable instance of generative AI employing LLMs is ChatGPT (General Pretrained Transformers). By simulating disease progression and treatment outcomes, generative AI can foster personalized treatment strategies and empower patients with knowledge about their health trajectories. Yet, realizing these potential demands requires overcoming data quality and interpretability challenges, and ensuring AI outputs are accessible and actionable for clinicians and patients.

Despite these advancements, leveraging AI in hepatology is not devoid of hurdles. The development and training of AI models require extensive and diverse datasets, raising concerns about data privacy and ethical use. Addressing these concerns is paramount for successfully integrating AI into clinical hepatology practice, necessitating transparent algorithmic processes and stringent ethical standards. Ethical considerations are central to AI’s integration into hepatology. Algorithmic biases, patient privacy, and the impact of AI-driven decisions underscore the need for cautious AI deployment. Developing transparent, understandable algorithms and establishing ethical guidelines for AI use are critical steps towards ethically leveraging AI in patient care.

In conclusion, AI’s integration into hepatology holds tremendous promise for advancing patient care through enhanced diagnostics, treatment planning, and patient education. Overcoming the associated challenges, including ethical concerns, data diversity, and algorithm interpretability, is crucial. As the hepatology community navigates this technological evolution, a balanced approach that marries technological advancements with ethical stewardship will be key to harnessing AI’s full potential, ensuring it serves the best interests of patients and propels the field of hepatology into the future.

We predict a trajectory of increased use and adoption of AI in hepatology. AI in hepatology is likely to meet the test of pervasiveness, improvement, and innovation. The adoption of AI in routine hepatology diagnosis and management will likely follow Amara’s law and the five stages of the hype cycle. We believe that we are still in the infant stages of adopting AI technology in hepatology, and this phase may last 5 years before there is a peak of inflated expectations. The trough of disillusionment and slopes of enlightenment may only be observed in the next decades.

Dr. Njei is based in the Section of Digestive Diseases, Yale School of Medicine, New Haven, Conn. Mr. Al-Ajlouni is a senior medical student at New York Medical College School of Medicine, Valhalla, N.Y. They have no conflicts of interest to declare.

Sources

Taylor-Weiner A, et al. A Machine Learning Approach Enables Quantitative Measurement of Liver Histology and Disease Monitoring in NASH. Hepatology. 2021 Jul. doi: 10.1002/hep.31750.

Zeng Q, et al. Artificial intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology. J Hepatol. 2022 Jul. doi: 10.1016/j.jhep.2022.01.018.

Ahn JC, et al. Development of the AI-Cirrhosis-ECG Score: An Electrocardiogram-Based Deep Learning Model in Cirrhosis. Am J Gastroenterol. 2022 Mar. doi: 10.14309/ajg.0000000000001617.

Nduma BN, et al. The Application of Artificial Intelligence (AI)-Based Ultrasound for the Diagnosis of Fatty Liver Disease: A Systematic Review. Cureus. 2023 Dec 15. doi: 10.7759/cureus.50601.

Dear colleagues,

Since our prior Perspectives piece on artificial intelligence (AI) in GI and Hepatology in 2022, the field has seen almost exponential growth. Expectations are high that AI will revolutionize our field and significantly improve patient care. But as the global discussion on AI has shown, there are real challenges with adoption, including issues with accuracy, reliability, and privacy.

In this issue, Dr. Nabil M. Mansour and Dr. Thomas R. McCarty explore the current and future impact of AI on gastroenterology, while Dr. Basile Njei and Yazan A. Al Ajlouni assess its role in hepatology. We hope these pieces will help your discussions in incorporating or researching AI for use in your own practices. We welcome your thoughts on this issue on X @AGA_GIHN.

Gyanprakash A. Ketwaroo, MD, MSc, is associate professor of medicine, Yale University, New Haven, Conn., and chief of endoscopy at West Haven (Conn.) VA Medical Center. He is an associate editor for GI & Hepatology News.

Artificial Intelligence in Gastrointestinal Endoscopy

BY THOMAS R. MCCARTY, MD, MPH; NABIL M. MANSOUR, MD

The last few decades have seen an exponential increase and interest in the role of artificial intelligence (AI) and adoption of deep learning algorithms within healthcare and patient care services. The field of gastroenterology and endoscopy has similarly seen a tremendous uptake in acceptance and implementation of AI for a variety of gastrointestinal conditions. The spectrum of AI-based applications includes detection or diagnostic-based as well as therapeutic assistance tools. From the first US Food and Drug Administration (FDA)-approved device that uses machine learning to assist clinicians in detecting lesions during colonoscopy, to other more innovative machine learning techniques for small bowel, esophageal, and hepatobiliary conditions, AI has dramatically changed the landscape of gastrointestinal endoscopy.

Baylor College of Medicine

Ultimately, this data led to FDA approval of the CADe system GI Genius (Medtronic, Dublin, Ireland) in 2021.⁴ Additional systems have since been FDA approved or 510(k) cleared including Endoscreener (Wision AI, Shanghai, China), SKOUT (Iterative Health, Cambridge, Massachusetts), MAGENTIQ-COLO (MAGENTIQ-EYE LTD, Haifa, Israel), and CAD EYE (Fujifilm, Tokyo), all of which have shown increased ADR and/or increased APC and/or reduced adenoma miss rates in randomized trials.⁵

Yet despite the promise of improved quality and subsequent translation to better patient outcomes, there has been a noticeable disconnect between RCT data and more real-world literature.⁶ In a recent study, no improvement was seen in ADR after implementation of a CADe system for colorectal cancer screening — including both higher and lower-ADR performers. Looking at change over time after implementation, CADe had no positive effect in any group over time, divergent from early RCT data. In a more recent multicenter, community-based RCT study, again CADe did not result in a statistically significant difference in the number of adenomas detected.⁷ The differences between some of these more recent “real-world” studies vs the majority of data from RCTs raise important questions regarding the potential of bias (due to unblinding) in prospective trials, as well as the role of the human-AI interaction.

Importantly for RCT data, both cohorts in these studies met adequate ADR benchmarks, though it remains unclear whether a truly increased ADR necessitates better patient outcomes — is higher always better? In addition, an important consideration with evaluating any AI/CADe system is that they often undergo frequent updates, each promising improved accuracy, sensitivity, and specificity. This is an interesting dilemma and raises questions about the enduring relevance of studies conducted using an outdated version of a CADe system.

Additional unanswered questions regarding an ideal ADR for implementation, preferred patient populations for screening (especially for younger individuals), and the role and adoption of computer-aided polyp diagnosis/characterization (CADx) within the United States remain. Furthermore, questions regarding procedural withdrawal time, impact on sessile serrated lesion detection, cost-effectiveness, and preferred adoption strategies have begun to be explored, though require more data to better define a best practice approach. Ultimately, answers to some of these unknowns may explain the discordant results and help guide future implementation measures.

Innovative applications for alternative gastrointestinal conditions

Given the fervor and excitement, as well as the outcomes associated with AI-based colorectal screening, it is not surprising these techniques have been expanded to other gastrointestinal conditions. At this time, all of these are fledgling, mostly single-center tools, not yet ready for widespread adoption. Nonetheless, these represent a potentially important step forward for difficult-to-manage gastrointestinal diseases.

Machine learning CADe systems have been developed to help identify early Barrett’s neoplasia, depth and invasion of gastric cancer, as well as lesion detection in small bowel video capsule endoscopy.^8-10 Endoscopic retrograde cholangiopancreatography (ERCP)-based applications for cholangiocarcinoma and indeterminate stricture diagnosis have also been studied.¹¹ Additional AI-based algorithms have been employed for complex procedures such as endoscopic submucosal dissection (ESD) or peroral endoscopic myotomy (POEM) to delineate vessels, better define tissue planes for dissection, and visualize landmark structures.^12,13 Furthermore, AI-based scope guidance/manipulation, bleeding detection, landmark identification, and lesion detection have the potential to revolutionize endoscopic training and education. The impact that generative AI can potentially have on clinical practice is also an exciting prospect that warrants further investigation.

Artificial intelligence adoption in clinical practice

Clinical practice with regard to AI and colorectal cancer screening largely mirrors the disconnect in the current literature, with “believers” and “non-believers” as well as innovators and early adopters alongside laggards. In our own academic practices, we continue to struggle with the adoption and standardized implementation of AI-based colorectal cancer CADe systems, despite the RCT data showing positive results. It is likely that AI uptake will follow the technology predictions of Amara’s Law — i.e., individuals tend to overestimate the short-term impact of new technologies while underestimating long-term effects. In the end, more widespread adoption in community practice and larger scale real-world clinical outcomes studies are likely to determine the true impact of these exciting technologies. For other, less established AI-based tools, more data are currently required.

Conclusions

Ultimately, AI-based algorithms are likely here to stay, with continued improvement and evolution to occur based on provider feedback and patient care needs. Current tools, while not all-encompassing, have the potential to dramatically change the landscape of endoscopic training, diagnostic evaluation, and therapeutic care. It is critically important that relevant stakeholders, both endoscopists and patients, be involved in future applications and design to improve efficiency and quality outcomes overall.

Dr. McCarty is based in the Lynda K. and David M. Underwood Center for Digestive Disorders, Houston Methodist Hospital. Dr. Mansour is based in the section of gastroenterology, Baylor College of Medicine, Houston. Dr. McCarty reports no conflicts of interest. Dr. Mansour reports having been a consultant for Iterative Health.

References

1. Repici A, et al. Efficacy of real-time computer-aided detection of colorectal neoplasia in a randomized trial. Gastroenterology. 2020 Aug. doi: 10.1053/j.gastro.2020.04.062.

2. Repici A, et al. Artificial intelligence and colonoscopy experience: Lessons from two randomised trials. Gut. Apr 2022. doi: 10.1136/gutjnl-2021-324471.

3. Wallace MB, et al. Impact of artificial intelligence on miss rate of colorectal neoplasia. Gastroenterology 2022 Jul. doi: 10.1053/j.gastro.2022.03.007.

4. United States Food and Drug Administration (FDA). GI Genius FDA Approval [April 9, 2021]. Accessed January 5, 2022. Available at: www.accessdata.fda.gov/cdrh_docs/pdf21/K211951.pdf.

5. Maas MHJ, et al. A computer-aided polyp detection system in screening and surveillance colonoscopy: An international, multicentre, randomised, tandem trial. Lancet Digit Health. 2024 Mar. doi: 10.1016/S2589-7500(23)00242-X.

6. Ladabaum U, et al. Computer-aided detection of polyps does not improve colonoscopist performance in a pragmatic implementation trial. Gastroenterology. 2023 Mar. doi: 10.1053/j.gastro.2022.12.004.

7. Wei MT, et al. Evaluation of computer-aided detection during colonoscopy in the community (AI-SEE): A multicenter randomized clinical trial. Am J Gastroenterol. 2023 Oct. doi: 10.14309/ajg.0000000000002239.

8. de Groof J, et al. The Argos project: The development of a computer-aided detection system to improve detection of Barrett’s neoplasia on white light endoscopy. United European Gastroenterol J. 2019 May. doi: 10.1177/2050640619837443.

9. Kanesaka T, et al. Computer-aided diagnosis for identifying and delineating early gastric cancers in magnifying narrow-band imaging. Gastrointest Endosc. 2018 May. doi: 10.1016/j.gie.2017.11.029.

10. Sahafi A, et al. Edge artificial intelligence wireless video capsule endoscopy. Sci Rep. 2022 Aug. doi: 10.1038/s41598-022-17502-7.

11. Njei B, et al. Artificial intelligence in endoscopic imaging for detection of malignant biliary strictures and cholangiocarcinoma: A systematic review. Ann Gastroenterol. 2023 Mar-Apr. doi: 10.20524/aog.2023.0779.

12. Ebigbo A, et al. Vessel and tissue recognition during third-space endoscopy using a deep learning algorithm. Gut. 2022 Dec. doi: 10.1136/gutjnl-2021-326470.

13. Cao J, et al. Intelligent surgical workflow recognition for endoscopic submucosal dissection with real-time animal study. Nat Commun. 2023 Oct. doi: 10.1038/s41467-023-42451-8.

The Promise and Challenges of AI in Hepatology

BY BASILE NJEI, MD, MPH, PHD; YAZAN A. AL-AJLOUNI, MPHIL

In the dynamic realm of medicine, artificial intelligence (AI) emerges as a transformative force, notably within hepatology. The discipline of hepatology, dedicated to liver and related organ diseases, is ripe for AI’s promise to revolutionize diagnostics and treatment, pushing toward a future of precision medicine. Yet, the path to fully realizing AI’s potential in hepatology is laced with data, ethical, and integration challenges.

The application of AI, particularly in histopathology, significantly enhances disease diagnosis and staging in hepatology. AI-driven approaches remedy traditional histopathological challenges, such as interpretative variability, providing more consistent and accurate disease analyses. This is especially evident in conditions like metabolic dysfunction-associated steatohepatitis (MASH) and hepatocellular carcinoma (HCC), where AI aids in identifying critical gene signatures, thereby refining therapy selection.

Yale School of Medicine

Similarly, deep learning (DL), a branch of AI, has attracted significant interest globally, particularly in image recognition. AI’s incorporation into medical imaging marks a significant advancement, enabling early detection of malignancies like HCC and improving diagnostics in steatotic liver disease through enhanced imaging analyses using convolutional neural networks (CNN). The abundance of imaging data alongside clinical outcomes has catalyzed AI’s integration into radiology, leading to the swift growth of radiomics as a novel domain in medical research.

AI has also been shown to identify nuanced alterations in electrocardiograms (EKGs) associated with liver conditions, potentially detecting the progression of liver diseases at an earlier stage than currently possible. By leveraging complex algorithms and machine learning, AI can analyze EKG patterns with a precision and depth unattainable through traditional manual interpretation. Given that liver diseases, such as cirrhosis or hepatitis, can induce subtle cardiac changes long before other clinical symptoms manifest, early detection through AI-enhanced EKG analysis could lead to timely interventions, potentially halting or reversing disease progression. This approach further enriches our understanding of the intricate interplay between liver function and cardiac health, highlighting the potential for AI to transform not just liver disease diagnostics but also to foster a more integrated approach to patient care.

New York Medical College

Beyond diagnostics, the burgeoning field of generative AI introduces groundbreaking possibilities in treatment planning and patient education, particularly for chronic conditions like cirrhosis. Generative AI produces original content, including text, visuals, and music, by identifying and learning patterns from its training data. When it leverages large language models (LLMs), it entails training on vast collections of textual data and using AI models characterized by many parameters. A notable instance of generative AI employing LLMs is ChatGPT (General Pretrained Transformers). By simulating disease progression and treatment outcomes, generative AI can foster personalized treatment strategies and empower patients with knowledge about their health trajectories. Yet, realizing these potential demands requires overcoming data quality and interpretability challenges, and ensuring AI outputs are accessible and actionable for clinicians and patients.

Despite these advancements, leveraging AI in hepatology is not devoid of hurdles. The development and training of AI models require extensive and diverse datasets, raising concerns about data privacy and ethical use. Addressing these concerns is paramount for successfully integrating AI into clinical hepatology practice, necessitating transparent algorithmic processes and stringent ethical standards. Ethical considerations are central to AI’s integration into hepatology. Algorithmic biases, patient privacy, and the impact of AI-driven decisions underscore the need for cautious AI deployment. Developing transparent, understandable algorithms and establishing ethical guidelines for AI use are critical steps towards ethically leveraging AI in patient care.

In conclusion, AI’s integration into hepatology holds tremendous promise for advancing patient care through enhanced diagnostics, treatment planning, and patient education. Overcoming the associated challenges, including ethical concerns, data diversity, and algorithm interpretability, is crucial. As the hepatology community navigates this technological evolution, a balanced approach that marries technological advancements with ethical stewardship will be key to harnessing AI’s full potential, ensuring it serves the best interests of patients and propels the field of hepatology into the future.

We predict a trajectory of increased use and adoption of AI in hepatology. AI in hepatology is likely to meet the test of pervasiveness, improvement, and innovation. The adoption of AI in routine hepatology diagnosis and management will likely follow Amara’s law and the five stages of the hype cycle. We believe that we are still in the infant stages of adopting AI technology in hepatology, and this phase may last 5 years before there is a peak of inflated expectations. The trough of disillusionment and slopes of enlightenment may only be observed in the next decades.

Dr. Njei is based in the Section of Digestive Diseases, Yale School of Medicine, New Haven, Conn. Mr. Al-Ajlouni is a senior medical student at New York Medical College School of Medicine, Valhalla, N.Y. They have no conflicts of interest to declare.

Sources

Taylor-Weiner A, et al. A Machine Learning Approach Enables Quantitative Measurement of Liver Histology and Disease Monitoring in NASH. Hepatology. 2021 Jul. doi: 10.1002/hep.31750.

Zeng Q, et al. Artificial intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology. J Hepatol. 2022 Jul. doi: 10.1016/j.jhep.2022.01.018.

Ahn JC, et al. Development of the AI-Cirrhosis-ECG Score: An Electrocardiogram-Based Deep Learning Model in Cirrhosis. Am J Gastroenterol. 2022 Mar. doi: 10.14309/ajg.0000000000001617.

Nduma BN, et al. The Application of Artificial Intelligence (AI)-Based Ultrasound for the Diagnosis of Fatty Liver Disease: A Systematic Review. Cureus. 2023 Dec 15. doi: 10.7759/cureus.50601.

The American Gastroenterological Association (AGA) has issued a rapid clinical practice update on the use of glucagon-like peptide 1 (GLP-1) receptor agonists prior to endoscopy.

The update was partly prompted by consensus-based perioperative guidance issued by the American Society of Anesthesiologists in June 2023, which advises withholding GLP-1 receptor agonists before endoscopy. This recommendation has caused some anesthesia providers to cancel or postpone endoscopic procedures, or even elect general endotracheal intubation over standard sedation.

“Many facilities and medical centers are now struggling to revise preprocedural protocols for patients taking this class of medications despite the lack of high-level evidence regarding how to proceed,” the panelists wrote in Clinical Gastroenterology and Hepatology. “Important questions include whether these preprocedural changes are necessary, if they truly mitigate periprocedural aspiration, or if the delays instituted by following this guidance might further compound the major problem currently faced nationwide: that of large numbers of patients awaiting endoscopic procedures because of delays from the COVID-19 pandemic, reduction in the recommended age threshold to start colorectal cancer screening in 2018, and workforce challenges.”

The rapid clinical practice update, commissioned and approved by the AGA, includes background on the relationship between GLP-1 receptor agonists and endoscopic procedures, followed by clinical strategies for patients taking these medications.

Lead panelist Jana G. Al Hashash, MD, MSc, AGAF, of Mayo Clinic, Jacksonville, Florida, and colleagues began by noting that GLP-1 receptor agonists have been associated with increased gastric residue in patients with diabetes, and among nondiabetic patients, increased gastric retention of solids but not liquids. Delayed gastric emptying and increased residual gastric contents may be more common among patients on GLP-1 agonists who have vomiting, nausea, dyspepsia, or abdominal bloating, they added.

Mayo Clinic

The American Gastroenterological Association (AGA) has issued a rapid clinical practice update on the use of glucagon-like peptide 1 (GLP-1) receptor agonists prior to endoscopy.

The update was partly prompted by consensus-based perioperative guidance issued by the American Society of Anesthesiologists in June 2023, which advises withholding GLP-1 receptor agonists before endoscopy. This recommendation has caused some anesthesia providers to cancel or postpone endoscopic procedures, or even elect general endotracheal intubation over standard sedation.

“Many facilities and medical centers are now struggling to revise preprocedural protocols for patients taking this class of medications despite the lack of high-level evidence regarding how to proceed,” the panelists wrote in Clinical Gastroenterology and Hepatology. “Important questions include whether these preprocedural changes are necessary, if they truly mitigate periprocedural aspiration, or if the delays instituted by following this guidance might further compound the major problem currently faced nationwide: that of large numbers of patients awaiting endoscopic procedures because of delays from the COVID-19 pandemic, reduction in the recommended age threshold to start colorectal cancer screening in 2018, and workforce challenges.”

The rapid clinical practice update, commissioned and approved by the AGA, includes background on the relationship between GLP-1 receptor agonists and endoscopic procedures, followed by clinical strategies for patients taking these medications.

Lead panelist Jana G. Al Hashash, MD, MSc, AGAF, of Mayo Clinic, Jacksonville, Florida, and colleagues began by noting that GLP-1 receptor agonists have been associated with increased gastric residue in patients with diabetes, and among nondiabetic patients, increased gastric retention of solids but not liquids. Delayed gastric emptying and increased residual gastric contents may be more common among patients on GLP-1 agonists who have vomiting, nausea, dyspepsia, or abdominal bloating, they added.

Mayo Clinic

The American Gastroenterological Association (AGA) has issued a rapid clinical practice update on the use of glucagon-like peptide 1 (GLP-1) receptor agonists prior to endoscopy.

The update was partly prompted by consensus-based perioperative guidance issued by the American Society of Anesthesiologists in June 2023, which advises withholding GLP-1 receptor agonists before endoscopy. This recommendation has caused some anesthesia providers to cancel or postpone endoscopic procedures, or even elect general endotracheal intubation over standard sedation.

“Many facilities and medical centers are now struggling to revise preprocedural protocols for patients taking this class of medications despite the lack of high-level evidence regarding how to proceed,” the panelists wrote in Clinical Gastroenterology and Hepatology. “Important questions include whether these preprocedural changes are necessary, if they truly mitigate periprocedural aspiration, or if the delays instituted by following this guidance might further compound the major problem currently faced nationwide: that of large numbers of patients awaiting endoscopic procedures because of delays from the COVID-19 pandemic, reduction in the recommended age threshold to start colorectal cancer screening in 2018, and workforce challenges.”

The rapid clinical practice update, commissioned and approved by the AGA, includes background on the relationship between GLP-1 receptor agonists and endoscopic procedures, followed by clinical strategies for patients taking these medications.

Lead panelist Jana G. Al Hashash, MD, MSc, AGAF, of Mayo Clinic, Jacksonville, Florida, and colleagues began by noting that GLP-1 receptor agonists have been associated with increased gastric residue in patients with diabetes, and among nondiabetic patients, increased gastric retention of solids but not liquids. Delayed gastric emptying and increased residual gastric contents may be more common among patients on GLP-1 agonists who have vomiting, nausea, dyspepsia, or abdominal bloating, they added.

Mayo Clinic