AI-Assessed Bowel Prep Helps Ensure Successful Screening Colonoscopy

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<root generator="drupal.xsl" gversion="1.7"> <header> <fileName>168189</fileName> <TBEID>0C050463.SIG</TBEID> <TBUniqueIdentifier>MD_0C050463</TBUniqueIdentifier> <newsOrJournal>News</newsOrJournal> <publisherName>Frontline Medical Communications</publisherName> <storyname/> <articleType>2</articleType> <TBLocation>QC Done-All Pubs</TBLocation> <QCDate>20240528T163013</QCDate> <firstPublished>20240528T163123</firstPublished> <LastPublished>20240528T163123</LastPublished> <pubStatus qcode="stat:"/> <embargoDate/> <killDate/> <CMSDate>20240528T163123</CMSDate> <articleSource/> <facebookInfo/> <meetingNumber/> <byline>S. Bhattacharya</byline> <bylineText>SHRABASTI BHATTACHARYA</bylineText> <bylineFull>SHRABASTI BHATTACHARYA</bylineFull> <bylineTitleText/> <USOrGlobal/> <wireDocType/> <newsDocType/> <journalDocType/> <linkLabel/> <pageRange/> <citation/> <quizID/> <indexIssueDate/> <itemClass qcode="ninat:text"/> <provider qcode="provider:imng"> <name>IMNG Medical Media</name> <rightsInfo> <copyrightHolder> <name>Frontline Medical News</name> </copyrightHolder> <copyrightNotice>Copyright (c) 2015 Frontline Medical News, a Frontline Medical Communications Inc. company. All rights reserved. This material may not be published, broadcast, copied, or otherwise reproduced or distributed without the prior written permission of Frontline Medical Communications Inc.</copyrightNotice> </rightsInfo> </provider> <abstract/> <metaDescription>The adenoma missed rate (AMR), including lesions &gt; 5 mm, was lower in patients whose precolonoscopy bowel preparation was deemed suitable using an artificial in</metaDescription> <articlePDF/> <teaserImage/> <teaser>“The use of AI in bowel preparation assessment can relieve endoscopists’ workload, enabling them to concentrate more on detecting lesions during colonoscopy without being distracted by preparation evaluation.” </teaser> <title>AI-Assessed Bowel Prep Helps Ensure Successful Screening Colonoscopy</title> <deck/> <disclaimer/> <AuthorList/> <articleURL/> <doi/> <pubMedID/> <publishXMLStatus/> <publishXMLVersion>1</publishXMLVersion> <useEISSN>0</useEISSN> <urgency/> <pubPubdateYear/> <pubPubdateMonth/> <pubPubdateDay/> <pubVolume/> <pubNumber/> <wireChannels/> <primaryCMSID/> <CMSIDs/> <keywords/> <seeAlsos/> <publications_g> <publicationData> <publicationCode>GIHOLD</publicationCode> <pubIssueName>January 2014</pubIssueName> <pubArticleType/> <pubTopics/> <pubCategories/> <pubSections/> <journalTitle/> <journalFullTitle/> <copyrightStatement/> </publicationData> <publicationData> <publicationCode>fp</publicationCode> <pubIssueName/> <pubArticleType/> <pubTopics/> <pubCategories/> <pubSections/> </publicationData> <publicationData> <publicationCode>im</publicationCode> <pubIssueName/> <pubArticleType/> <pubTopics/> <pubCategories/> <pubSections/> </publicationData> </publications_g> <publications> <term>15</term> <term canonical="true">21</term> </publications> <sections> <term canonical="true">39313</term> <term>27970</term> </sections> <topics> <term canonical="true">213</term> <term>263</term> </topics> <links/> </header> <itemSet> <newsItem> <itemMeta> <itemRole>Main</itemRole> <itemClass>text</itemClass> <title>AI-Assessed Bowel Prep Helps Ensure Successful Screening Colonoscopy</title> <deck/> </itemMeta> <itemContent> <h2>TOPLINE:</h2> <p>The adenoma missed rate (AMR), including lesions &gt; 5 mm, was lower in patients whose precolonoscopy bowel preparation was deemed suitable using an artificial intelligence (AI)–guided assessment.</p> <h2>METHODOLOGY:</h2> <ul class="body"> <li>Individuals with inappropriate bowel preparation before a colonoscopy face a higher lesion miss rate and may need to repeat the procedure.</li> <li>This prospective single-center study analyzed the screening colonoscopies of 393 individuals (mean age, 55 years; 50% men) using assessments made by endoscopists and AI.</li> <li>The AI-based method was the e-Boston Bowel Preparation Scale (e-BBPS), in which a score of 3 is the threshold to guarantee an adenoma detection rate of &gt; 25%. Patients with an e-BBPS score of ≤ 3 or &gt; 3 were considered by the AI as being qualified or unqualified, respectively.</li> <li>If the bowel preparation was considered adequate by the endoscopists and qualified by AI, individuals immediately underwent a repeat colonoscopy to assess for any missed lesions; otherwise, they underwent bowel recleansing before a repeat colonoscopy.</li> <li>The primary outcome was a &gt; 5-mm AMR.</li> </ul> <h2>TAKEAWAY:</h2> <ul class="body"> <li>The &gt; 5-mm AMR was higher in individuals whose bowel preparation was deemed unqualified vs qualified by AI (35.71% vs 13.19%), particularly in the cecum (50.00% vs 25.00%), ascending colon (25.00% vs 9.09%), transverse colon (58.82% vs 14.71%), and descending colon (40.00% vs 21.43%).</li> <li>Similarly, any AMR (50.89% vs 20.79%), &gt; 5-mm polyp miss rate (35.82% vs 19.48%), and any polyp miss rate (43.05% vs 25.51%) were higher in the unqualified AI vs qualified AI individuals.</li> <li>The rate of detection of adenomas &gt; 5 mm (2.88% vs 11.25%) or any adenoma (15.97% vs 46.25%) was lower among the qualified AI vs unqualified AI individuals during the repeat colonoscopy.</li> <li>The e-BBPS also showed a high pairwise agreement with the analysis of expert endoscopists and moderate pairwise agreement with that of general endoscopists.</li> </ul> <h2>IN PRACTICE:</h2> <p>“The use of AI in bowel preparation assessment can relieve endoscopists’ workload, enabling them to concentrate more on detecting lesions during colonoscopy without being distracted by preparation evaluation, thus enhancing both efficiency and overall medical quality,” the authors wrote.</p> <h2>SOURCE:</h2> <p>The study, led by Liwen Yao, PhD, Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China, was <span class="Hyperlink"><a href="https://www.giejournal.org/article/S0016-5107(24)00235-9/abstract">published online</a></span> in <em>Gastrointestinal Endoscopy</em>.</p> <h2>LIMITATIONS:</h2> <p>Limitations included the study’s lack of external validity, including Western populations. Different bowel preparation regimens were not compared; therefore, conclusions about their efficacy cannot be deduced. The use of AI in the assessment of bowel preparation may lead to ethical issues, such as increased colonoscopy costs due to the technology and whether patients are fully informed.</p> <h2>DISCLOSURES:</h2> <p>This study was funded by the Science and Technology Achievement Transformation Platform Construction Project of Ministry of Education and Public Health Research Project of Futian District, Shenzhen. The authors declared no conflicts of interest.<span class="end"/></p> <p> <em>A version of this article first appeared on <span class="Hyperlink"><a href="https://www.medscape.com/viewarticle/ai-assessed-bowel-prep-helps-ensure-successful-screening-2024a10009qv">Medscape.com</a></span>.</em> </p> </itemContent> </newsItem> <newsItem> <itemMeta> <itemRole>teaser</itemRole> <itemClass>text</itemClass> <title/> <deck/> </itemMeta> <itemContent> </itemContent> </newsItem> </itemSet></root>