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 ...

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 ...

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, ...

Survival impact of initial local therapy selection for men under 60 with high risk prostate cancer. Prostate cancer (PCa) in 696 hypogonadal men with and without long-term testosterone therapy (TTh): ...

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 ...

Impact of 68Ga-PSMA-11 PET on the management of biochemically recurrent prostate cancer in a prospective single-arm clinical trial.

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 ...

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