前列腺作为男性生殖系统的核心实质性器官，其解剖分区与前列腺癌的发生、定位、诊断及治疗方案制定密切相关。前列腺成像报告和数据系统（PI-RADS）作为前列腺多参数磁共振成像（mp-MRI）的全球通用标准，于2019年更新至v2.1版本，在保留核心框架的基础上 ...

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 ...

Objectives: To identify the group of patients who could safely avoid prostate biopsy based on the findings of multiparametric prostate resonance imaging (MRmp), parameterized with PI-RADS v2, using ...

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 ...

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 ...

Objective: To evaluate the diagnostic value of prostate-specific antigen (PSA) density, digital rectal examination (DRE), and family history in predicting prostate cancer among patients with low-risk ...

Purpose To determine if PSAD, PSADtz, and ADC values improve the accuracy of PI-RADS v2 and identify men whose concurrent systematic biopsy detects clinically significant cancer on areas without mpMRI ...

Abstract: This work presents PI-RADS-Net, a deep-learning model inspired by the PI-RADS protocol to detect clinically significant prostate cancers (csPCa) on MRI by emulating radiologists' ...

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The following is a summary of “Comparison in prostate cancer diagnosis with PSA 4–10 ng/mL: radiomics-based model VS. PI-RADS v2.1,” published in the October 2024 issue of Urology by Li et al.

WEDNESDAY, Aug. 14, 2024 (HealthDay News) -- The baseline magnetic resonance imaging (MRI) Prostate Imaging Reporting and Data System (PI-RADS) score is associated with biopsy reclassification among ...