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多参数磁共振成像结合生物标志物在高级别前列腺癌诊断中的进展。

Advances in multiparametric magnetic resonance imaging combined with biomarkers for the diagnosis of high-grade prostate cancer.

作者信息

Li Song-Lin, Zha Ming-Yong, Wang Qi, Tang Yong

机构信息

Department of Urology, Wuming Hospital of Guangxi Medical University, Nanning, China.

Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, China.

出版信息

Front Surg. 2024 Jul 16;11:1429831. doi: 10.3389/fsurg.2024.1429831. eCollection 2024.

Abstract

Clinical decisions based on the test results for prostate-specific antigen often result in overdiagnosis and overtreatment. Multiparametric magnetic resonance imaging (mpMRI) can be used to identify high-grade prostate cancer (HGPCa; Gleason score ≥3 + 4); however, certain limitations remain such as inter-reader variability and false negatives. The combination of mpMRI and prostate cancer (PCa) biomarkers (prostate-specific antigen density, Proclarix, gene fusion, Michigan prostate score, ExoDX prostate intelliscore, four kallikrein score, select molecular diagnosis, prostate health index, and prostate health index density) demonstrates high accuracy in the diagnosis of HGPCa, ensuring that patients avoid unnecessary prostate biopsies with a low leakage rate. This manuscript describes the characteristics and diagnostic performance of each biomarker alone and in combination with mpMRI, with the intension to provide a basis for decision-making in the diagnosis and treatment of HGPCa. Additionally, we explored the applicability of the combination protocol to the Asian population.

摘要

基于前列腺特异性抗原检测结果做出的临床决策常常导致过度诊断和过度治疗。多参数磁共振成像(mpMRI)可用于识别高级别前列腺癌(HGPCa; Gleason评分≥3 + 4);然而,仍存在一些局限性,如阅片者之间的差异和假阴性。mpMRI与前列腺癌(PCa)生物标志物(前列腺特异性抗原密度、Proclarix、基因融合、密歇根前列腺评分、ExoDX前列腺智能评分、四激肽释放酶评分、选择分子诊断、前列腺健康指数和前列腺健康指数密度)相结合,在HGPCa诊断中显示出高准确性,确保患者避免不必要的前列腺活检,漏诊率低。本手稿描述了每种生物标志物单独以及与mpMRI联合使用时的特征和诊断性能,旨在为HGPCa的诊断和治疗决策提供依据。此外,我们还探讨了联合方案在亚洲人群中的适用性。

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