Magnetic resonance imaging-pathology correlation after neoadjuvant therapy for rectal cancer: Implications for surgical prognosis

doi:10.4240/wjgs.119575

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World Journal of Gastrointestinal Surgery

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1948-9366

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Gastrointest Surg. Jul 27, 2026; 18(7): 119575
Published online Jul 27, 2026. doi: 10.4240/wjgs.119575

Magnetic resonance imaging-pathology correlation after neoadjuvant therapy for rectal cancer: Implications for surgical prognosis

Bo Wang, Jia-Min Gu, Bing Wu

Bo Wang, Jia-Min Gu, Bing Wu, Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China

Author contributions: Wang B is responsible for research design, data collection and organization, statistical analysis, writing the initial draft of the paper, and completing multiple revisions; Wu B conducted comprehensive review and quality control; Gu JM participated in the literature research, data proofreading, and paper revision; and all authors have read and approved the final manuscript and have agreed to its submission.

Conflict-of-interest statement: The authors declare that they have no conflicts of interest to declare in this study.

Corresponding author: Bing Wu, MD, Chief Physician, Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Wuhou District, Chengdu 610041, Sichuan Province, China. bingwu1453@163.com

Received: February 10, 2026
Revised: March 10, 2026
Accepted: April 10, 2026
Published online: July 27, 2026
Processing time: 167 Days and 1.2 Hours

Core Tip

Core Tip: This study reviews advances in correlating magnetic resonance imaging assessments with postoperative pathology for rectal cancer neoadjuvant therapy and proposes a standardized framework to extract key risk indicators (e.g., tumor bed staging, circumferential resection margin/extramural venous invasion status) amid treatment-induced changes. It highlights factors affecting imaging-pathology consistency and advocates combining multimodal and dynamic data to enhance risk stratification and surgical decision-making.