Alam frames PHI and MRI as noninvasive tools that help refine risk before proceeding to biopsy. In this video, Ridwan I. Alam, MD, MPH, discusses how the Prostate Health Index (PHI) performs alongside ...

ABSTRACT: Introduction: Prostate cancer (PC) is a malignant proliferation of prostate cells. Common screening methods, such as digital rectal examination and prostate-specific antigen (PSA) testing, ...

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 ...

Dr. Aytekin Oto discussed Prostate MRI 101, noting that prostate MRI has evolved significantly since its first publication in 1982, with multiparametric MRI now embraced worldwide. With regards to ...

Second, hybrid multi-dimensional MRI was assessed in 91 patients in a single-center prospective trial versus PI-RADS-based evaluation of mpMRI. 1 Per patient, hybrid multi-dimensional MRI improved ...

We performed a post hoc analysis of a single-center phase II trial (ClinicalTrials.gov identifier: NCT03503643) in which patients with unilateral grade group (GG) 2-4 PCa (n = 108) underwent hemigland ...

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

Among patients with prostate cancer who received MRI-guided stereotactic body radiation therapy (SABR), more than 80% demonstrated “classic” neurovascular bundle patterns and over 96% showed more than ...

The family of a Long Island man who tragically died in a freak MRI-related accident is claiming that the technician is at fault for their loved one's death. The incident occurred at Nassau Open MRI in ...

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 ...

ProMT-ML, a machine learning model, predicts the necessity of prostate MRI, optimizing resource allocation and reducing wait times. The model uses clinical data such as PSA, prostate volume, and BMI ...