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MRI PI-RADS 3评分解读中不同经验放射科医生的组间一致性及诊断效能研究。通过回顾性分析133例病理证实病例，发现组间kappa值仅0.149，与Gleason评分弱相关（t=0.197），但不同经验医生对PI-RADS 3评分的判断无显著差异。研究强调需优化解读流程和补充决策规则。

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 ...

MRI of the prostate, combined with a blood test, can help determine if a prostate lesion is clinically significant cancer, new research suggests An enlarged prostate or potential prostate cancer is a ...

PET/MRI can improve diagnostic accuracy for prostate cancer patients and help avoid unnecessary biopsies, according to new research published in the April issue of The Journal of Nuclear Medicine. By ...

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, ...