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 ...

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 ...

AI-assisted imaging improved prostate cancer diagnosis and biopsy decision-making in new research presented at EAU 2026.

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

前列腺MRI靶向活检阴性患者的后续癌症检测率低，临床意义前列腺癌罕见，尤其PI-RADS 3组未检出癌症。基于PI-RADS分类、PSA密度和DRE结果的风险分层管理可减少重复活检需求。 对于PI-RADS 3–5级病变的男性患者，在MRI引导的活检结果为阴性后的最佳随访方案仍存在 ...

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 ...

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 ...

Getty Images Use of 68 Ga-PSMA PET/CT may avoid unnecessary biopsies in some men with equivocal PI-RADS 3 lesions on mpMRI. Gallium 68-labelled prostate-specific membrane antigen positron emission ...