PI-RADS version 2.1 demonstrated improved detection of clinically significant prostate cancer in the transition zone. For detecting clinically significant prostate cancer (csPCa), prostate imaging ...
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 ...
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 ...
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AI Helps Predict Prostate Cancer Without Biopsy
When a PSA test indicates an elevated level, determining whether a biopsy is necessary to confirm or rule out prostate cancer can be complex. A recent retrospective study conducted by researchers at ...
An artificial intelligence system slightly outperformed radiologists using PI-RADS at detecting clinically significant prostate cancer. A trained artificial intelligence (AI) system discriminated ...
Adding baseline MRI to conventional prostate cancer risk stratification could improve prognostic accuracy, potentially affecting active surveillance and treatment decisions for some patients, ...
In a cohort of US veterans with prostate cancer who were on active surveillance, negative multiparametric MRI had a 75% negative predictive value for ruling out disease of grade group 2 or higher at ...
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