本研究针对重复前列腺活检中PI-RADS 3病变的诊断挑战，通过回顾性分析684例患者数据，发现PI-RADS 3是阴性活检的独立预测因子（OR 0.582），而PSA密度（PSAD）在PI-RADS 4-5病变中具有显著风险分层价值（62.4% vs 33.8%），在PI-RADS 3中则差异有限（20.7% vs 16.2%）。该研究为 ...

Shifting patterns of care in localized prostate cancer: Impact on patient reported outcome measures (PROMs). This is an ASCO Meeting Abstract from the 2019 ASCO Annual Meeting I. This abstract does ...

前列腺癌PI-RADS 5级病灶中11.4%活检阴性，通过多因素分析发现前列腺体积＞60cc、正常DRE、既往阴性活检、过渡区病灶及TRUS未发现可疑低回声是独立预测因素，联合应用可提升诊断准确性至AUC≥0.84，为个体化随访策略提供依据。 多参数磁共振成像（mpMRI）在前列 ...

Innovative technology performs automatic segmentation and lesion detection in prostate MRI scans to assist in PI-RADS scoring for prostate cancer management TEL AVIV, Israel & SAN JOSE, ...

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 ...

Combining PSA density with prostate MRI findings improves the predictive performance of PI-RADS in men without a prior prostate cancer diagnosis. Combining PSA density (PSAD) with prostate magnetic ...

An artificial intelligence (AI) system was better at detecting clinically significant prostate cancer on MRI compared with radiologists, a noninferiority, confirmatory study showed. In a subset of 400 ...