Prostate MRI currently lacks the accuracy to replace biopsies in active surveillance for prostate cancer. The negative predictive value of MRI remains below 90%, the general goal for safely avoiding ...

A meta-analysis of nearly 25,000 patients undergoing radical prostatectomy supports adding presurgery MRI findings to ...

An artificial intelligence system slightly outperformed radiologists using PI-RADS at detecting clinically significant prostate cancer. A trained artificial intelligence (AI) system discriminated ...

When MRI offered no clear answer in suspected prostate cancer, the use of prostate-specific membrane antigen (PSMA)-PET/CT showed promise for reducing the number of biopsies without compromising the ...

When the PSA is elevated: for which men is a biopsy necessary to confirm or rule out suspected prostate cancer? In a retrospective study, scientists from the German Cancer Research Center (DKFZ) and ...

A recent Radiology journal study assesses the power of a fully automated deep learning (DL) model to produce deterministic outputs for identifying clinically significant prostate cancer (csPCa). Study ...

In a large-scale diagnostic study, artificial intelligence (AI) assistance led to a superior improvement in prostate cancer detection on MRI, increasing diagnostic accuracy by 3.3% compared with ...

Pre-treatment prostate MRI predicts recurrence and survival after surgery. Discover how imaging improves risk assessment.

Nearly all men with a polygenic risk score in the 90th percentile or above had a 10-year absolute risk for prostate cancer exceeding 3.8%. A polygenic risk score (PRS) identifies more patients with ...