基于前列腺影像报告与数据系统2.1版的前列腺癌临床诊断预测模型

IF 3.7 2区医学 Q1 UROLOGY & NEPHROLOGY

BJU International Pub Date : 2024-12-09 DOI:10.1111/bju.16616

David G. Gelikman, William S. Azar, Enis C. Yilmaz, Yue Lin, Luke A. Shumaker, Andrew M. Fang, Stephanie A. Harmon, Erich P. Huang, Sahil H. Parikh, Jason A. Hyman, Kyle Schuppe, Jeffrey W. Nix, Samuel J. Galgano, Maria J. Merino, Peter L. Choyke, Sandeep Gurram, Bradford J. Wood, Soroush Rais-Bahrami, Peter A. Pinto, Baris Turkbey

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引用次数: 0

摘要

结合临床和多参数磁共振成像（mpMRI）数据，开发并验证基于PI-RADS 2.1版本（v2.1）的临床显著性前列腺癌（csPCa）诊断预测模型，并将其性能与现有模型进行比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A Prostate Imaging-Reporting and Data System version 2.1-based predictive model for clinically significant prostate cancer diagnosis

To develop and validate a Prostate Imaging-Reporting and Data System (PI-RADS) version 2.1 (v2.1)-based predictive model for diagnosis of clinically significant prostate cancer (csPCa), integrating clinical and multiparametric magnetic resonance imaging (mpMRI) data, and compare its performance with existing models.

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来源期刊

BJU International 医学-泌尿学与肾脏学

CiteScore

9.10

自引率

4.40%

发文量

262

审稿时长

1 months

期刊介绍： BJUI is one of the most highly respected medical journals in the world, with a truly international range of published papers and appeal. Every issue gives invaluable practical information in the form of original articles, reviews, comments, surgical education articles, and translational science articles in the field of urology. BJUI employs topical sections, and is in full colour, making it easier to browse or search for something specific.