结合磁共振成像和 PSA 衍生指标的风险分级活检决策路径的开发与验证。

Annals of medicine Pub Date : 2025-12-01 Epub Date: 2025-01-01 DOI:10.1080/07853890.2024.2446695
Pengfei Jin, Ximing Wang, Zhenwei Ding, Liqin Yang, Chenyang Xu, Xu Wang, Fawei Huang
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引用次数: 0

摘要

目的:分别利用MRI结合前列腺特异性抗原(PSA)密度(PSAD)和游离PSA与总PSA之比(f/tPSA),开发适应风险的条件活检途径,以增强临床显著性前列腺癌(csPCa)的检测,同时最大限度地减少低风险患者的“阴性”活检。方法:回顾性收集1018例患者的前列腺影像学报告与数据系统(PI-RADS)分类、PSAD、f/tPSA及活检病理资料。随后将PSAD和f/tPSA分为4个区间,并结合MRI结果构建2个风险分层矩阵表。建立了6条活检决策途径:3条临床途径仅基于PSAD和f/tPSA, 3条mri联合途径结合PI-RADS和psa衍生指标。评估活检和临床不明显的PCa (ciPCa)避免、csPCa检出率和“阴性”活检比例。采用决策曲线分析(DCA)评估与各途径相关的净效益。结果:当报告PI-RADS 1 - 2时,PSAD≥0.20 ng/ml/cm3或f/tPSA≤0.10可用于患者分层。当报告PI-RADS 3时,PSAD≥0.10 ~ 0.15 ng/ml/cm3和f/tPSA≤0.16 ~ 0.25有助于区分csPCa的风险。三种mri联合路径的csPCa检出率(94% ~ 96%)高于三种临床路径(85% ~ 91%);“MRI + PSAD + f/tPSA”的csPCa检出率高达94%,同时最大活检避免率和最低“阴性”活检比例分别为40%和25%。与所有临床途径相比,三种mri联合途径的DCA显示出明显更高的净收益。结论:MRI和psa衍生指标的整合可以有效地对患者进行风险分层,从而为加强csPCa的管理提供有价值的决策途径,同时最大限度地减少“阴性”活检。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and validation of risk-stratified biopsy decision pathways incorporating MRI and PSA-derived indicators.

Objectives: Develop risk-adapted conditional biopsy pathways utilizing MRI in combination with prostate-specific antigen (PSA) density (PSAD) and the ratio of free to total PSA (f/tPSA), respectively, to enhance the detection of clinically significant prostate cancer (csPCa) while minimizing 'negative' biopsies in low-risk patients.

Methods: The Prostate Imaging Reporting and Data System (PI-RADS) category, PSAD, f/tPSA and biopsy-pathology of 1018 patients were collected retrospectively. Subsequently, PSAD and f/tPSA were divided into four intervals, which were then combined with the MRI findings to construct two risk stratification matrix tables. Six biopsy decision pathways were established: three clinical pathways based solely on PSAD and f/tPSA, and three MRI-combined pathways incorporating both PI-RADS and PSA-derived indicators. The biopsy and clinically insignificant PCa (ciPCa) avoidance, csPCa detection rate, and 'negative' biopsies proportion were assessed. Decision curve analysis (DCA) was employed to evaluate the net benefit associated with each pathway.

Results: When reporting PI-RADS 1 - 2, PSAD ≥ 0.20 ng/ml/cm3 or f/tPSA ≤ 0.10 were found to be useful for patient stratification. When reporting PI-RADS 3, PSAD ≥ 0.10 - 0.15 ng/ml/cm3 and f/tPSA ≤ 0.16 - 0.25 were helpful in distinguishing the risk of csPCa. The three MRI-combined pathways showed higher csPCa detection rates (94% to 96%) than the three clinical pathways (85% to 91%); 'MRI + PSAD + f/tPSA' demonstrated a high csPCa detection rate of 94% while maintaining the maximum biopsy avoidance and lowest 'negative' biopsy proportion of 40% and 25%, respectively. The DCA showed significantly higher net benefits for three MRI-combined pathways compared to all clinical pathways.

Conclusions: The integration of MRI and PSA-derived indicators enables effective patient risk stratification, thereby providing valuable decision-making pathways to enhance the management of csPCa while minimizing 'negative' biopsies.

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