The association remained significant in a multivariable model adjusting for five variables associated with OS: albumin, lactate dehydrogenase, C-reactive protein, serum prostate-specific antigen, and Eastern European geographic region.
In addition, the automated BSI had a better discriminating ability in prognosticating OS as compared to manual lesion counting (C-index of 0.63 and 0.60, respectively; P = .03), investigators said.
Secondary analyses showed the automated BSI was also associated with time to symptomatic progression, prostate cancer specific survival, and time to opiate use for cancer pain.
“These data support the clinical utility of the automated BSI, given its association with clinically relevant outcomes that are critically important in patient care,” wrote Dr. Armstrong and his colleagues.
The study was funded by EXINI Diagnostics AB, a subsidiary of Progenics Pharmaceuticals. The researchers reported disclosures related to EXINI Diagnostics AB and Active Biotech.
SOURCE: Armstrong AJ et al. JAMA Oncol. 2018 May 17. doi: 10.1001/jamaoncol.2018.1093.