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 ...

Upgrade and downgrade rates from targeted biopsy to radical prostatectomy were not significantly different between patients whose MRI examinations were clinically interpreted using PI-RADS Version ...

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

Share on Facebook. Opens in a new tab or window Share on Bluesky. Opens in a new tab or window Share on X. Opens in a new tab or window Share on LinkedIn. Opens in a new tab or window An artificial ...

Adding baseline MRI to conventional prostate cancer risk stratification could improve prognostic accuracy, potentially affecting active surveillance and treatment decisions for some patients, ...

Getty Images Use of 68 Ga-PSMA PET/CT may avoid unnecessary biopsies in some men with equivocal PI-RADS 3 lesions on mpMRI. Gallium 68-labelled prostate-specific membrane antigen positron emission ...

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 ...

MRI of the prostate, combined with a blood test, can help determine if a prostate lesion is clinically significant cancer, new research suggests An enlarged prostate or potential prostate cancer is a ...

Investigators of a retrospective study report that an AI deep learning model may also predict negative margin probabilities better than conventional modalities. An artificial intelligence (AI) deep ...