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 ...

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

AI-driven MRI analysis offers new insights into prostate cancer prognosis, accurately predicting metastasis risk and treatment outcomes for improved patient care. Study: AI-derived Tumor Volume from ...

Baseline MRI PI-RADS score suggests prognosis and may improve upfront risk stratification and eligibility for prostate cancer active surveillance. Higher baseline MRI PI-RADS score is associated with ...

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 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 ...

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 ...

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 ...

Prostate cancer surgeons routinely use MRI to guide surgical planning, yet imaging findings are not used for risk stratification in standard prognostic models. A new meta-analysis suggests they should ...