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World J Radiol. Mar 28, 2026; 18(3): 116826
Published online Mar 28, 2026. doi: 10.4329/wjr.v18.i3.116826
Published online Mar 28, 2026. doi: 10.4329/wjr.v18.i3.116826
Diagnostic performance of magnetic resonance imaging-based radiomics for detecting prostate cancer: A systematic review and meta-analysis
Shi-Yu Zhong, Xiang-Rong Deng, Department of Radiology, Chongzhou Traditional Chinese Medicine Hospital, Chengdu 611200, Sichuan Province, China
Bang-Cai Han, Department of Radiology, Suzhou BOE Hospital, Suzhou 130021, Jiangsu Province, China
Liu-Qing Yang, Department of Ultrasound, The First Hospital of Jilin University, Changchun 130021, Jilin Province, China
Su-Ting Ye, Department of Function Inspection, Sichuan Integrative Medicine Hospital, Chengdu 610041, Sichuan Province, China
Xiang-Ke Niu, Department of Interventional Radiology, Affiliated Hospital of Chengdu University, Chengdu 610081, Sichuan Province, China
Author contributions: Zhong SY and Niu XK designed the research study; Deng XR and Han BC performed data extraction and analysis; Yang LQ and Ye ST conducted literature screening and quality assessment; Niu XK supervised the study and revised the manuscript. All authors read and approved the final manuscript.
Supported by Natural Science Foundation of Sichuan Province, China, No. 2024NSFSC0657; Sichuan Medical Association Tumor (Hengrui-a Line) Special Scientific Research Project, China, No. 2024HR123; and Innovation Team Foundation of the Affiliated Hospital of Chengdu University, China, No. CDFYCX202204.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
PRISMA 2009 Checklist statement: The authors have read the PRISMA 2009 Checklist, and the manuscript was prepared and revised according to the PRISMA 2009 Checklist.
Corresponding author: Xiang-Ke Niu, Department of Interventional Radiology, Affiliated Hospital of Chengdu University, No. 82 2nd N Section of Second Ring Road, Chengdu 610081, Sichuan Province, China. niu19850519@163.com
Received: November 24, 2025
Revised: December 8, 2025
Accepted: January 26, 2026
Published online: March 28, 2026
Processing time: 125 Days and 15.4 Hours
Revised: December 8, 2025
Accepted: January 26, 2026
Published online: March 28, 2026
Processing time: 125 Days and 15.4 Hours
Core Tip
Core Tip: This meta-analysis demonstrates that magnetic resonance imaging-based radiomics is a reliable tool for detecting prostate cancer, with 3D radiomic models offering higher sensitivity than 2D models. Compared to the Prostate Imaging Reporting and Data System score, radiomics shows superior diagnostic accuracy for clinically significant prostate cancer, highlighting its potential to optimize diagnostic workflows and reduce unnecessary biopsies.