摘要目的探究MRI影像组学的机器学习方法是否有助于提高前列腺成像报告和数据系统(PI-RADS v2)在临床相关前列腺癌(PCa)的诊断效能。方法本研究经机构伦理委 Abstract Objective To investigate whether MRI machine learning methods can improve the diagnostic efficacy of Prostate Imaging Reporting and Data System (PI-RADS v2) in clinically relevant prostate cancer (PCa). Methods This study was commissioned by the Institutional Ethics Committee