前列腺MRI深度学习模型通过PI-RADS指导的学习有效区分中危病例，在检测csPCa的AUC（0.73-0.88）显著优于放射科医生和临床模型 ...

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 ...

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 ...

68 Ga-PSMA PET/MRI examples of PRIMARY scores. T2WI = T2-weighted image; PZ = peripheral zone; CZ = central zone. Reston, VA—PET/MRI can improve diagnostic accuracy for prostate cancer patients and ...

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 ...

At repeat screening, only a low proportion of MRI scans indicated suspicion of clinically significant prostate cancer. Among men receiving their second biennial prostate cancer screening in a Swedish ...

Patterns of failure after radiotherapy (RT) in patients with prostate cancer re-staged with 18F-DCFPyL PSMA-PET: A regional cohort analysis.

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