The Stockholm-3 Model for Prostate Cancer Detection: Algorithm Update, Biomarker Contribution, and Reflex Test Potential

Abstract

To find aggressive prostate cancer with the minimum number of negative biopsies and detection of clinically insignificant cancers, we evaluated the use of a personalized diagnostic prediction model as a second test for men with a positive prostate-specific antigen (PSA) test. We found that this two-step approach could reduce prostate biopsies by a third compared to using PSA alone.