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, ...
The authors have declared no conflicts of interest. A total of 145 patients with Prostate Imaging Reporting and Data System (PI-RADS) ≥3 lesions on multiparametric MRI underwent MRI-cognitive TPBx ...
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 ...
Enhanced Detection of Druggable Mutations in Non–Small Cell Lung Cancer Using Targeted Collection of Bronchial Washing Fluid Compared With Plasma and Tumor Tissue Our study found that PZ biopsies ...
An artificial intelligence system slightly outperformed radiologists using PI-RADS at detecting clinically significant prostate cancer. A trained artificial intelligence (AI) system discriminated ...
To develop and validate an algorithm to extract clinically relevant data elements for prostate cancer (PCa) from prostate biopsy reports and magnetic resonance imaging (MRI) reports. MRI reports and ...
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 ...
Abstract: This work presents PI-RADS-Net, a deep-learning model inspired by the PI-RADS protocol to detect clinically significant prostate cancers (csPCa) on MRI by emulating radiologists' ...
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