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 ...

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 ...

Disparities in receipt of molecular imaging in biochemical recurrent prostate cancer. This is an ASCO Meeting Abstract from the 2020 Genitourinary Cancers Symposium. This abstract does not include a ...

PI-RADS version 2.1 demonstrated improved detection of clinically significant prostate cancer in the transition zone. For detecting clinically significant prostate cancer (csPCa), prostate imaging ...

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 ...

Sequential flotufolastat-F18 PSMA-PET scans to enhance detection of prostate cancer in patients with early PSA recurrence following radical prostatectomy. Prevalence of treatment-acquired homozygous ...