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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 Gastroenterol. Apr 14, 2026; 32(14): 116415
Published online Apr 14, 2026. doi: 10.3748/wjg.v32.i14.116415
Development and validation of prognostic models for colon cancer incorporating extramural vascular invasion assessed by contrast-enhanced computed tomography
Mei-Rong Wang, Liang-Fang Zheng, Fan Yang, Xiao-Yu Gu, Ju-Shun Yang, Fei-Xiang Chen, Jia-Min Liu, Bo-Sheng He
Mei-Rong Wang, Liang-Fang Zheng, Fan Yang, Ju-Shun Yang, Fei-Xiang Chen, Bo-Sheng He, Department of Radiology, Affiliated Nantong Clinical College of Nantong University, Nantong First People’s Hospital, Nantong 226001, Jiangsu Province, China
Xiao-Yu Gu, Department of Radiology, Kunshan Traditional Chinese Medicine Hospital, Suzhou 215300, Jiangsu Province, China
Jia-Min Liu, Department of Rehabilitation Medicine, Nantong First People’s Hospital, Nantong 226001, Jiangsu Province, China
Co-first authors: Mei-Rong Wang and Liang-Fang Zheng.
Co-corresponding authors: Jia-Min Liu and Bo-Sheng He.
Author contributions: Wang MR and Zheng LF contributed equally to this work, drafted the manuscript, made substantial and balanced contributions to study conception and design, data collection and analysis, as well as manuscript drafting and revision as co-first authors; Wang MR, Zheng LF, Liu JM, and He BS conceived and designed the study, performed data analysis and interpretation; Wang MR, Yang F, Gu XY, and Chen FX were responsible for data acquisition; Wang MR and He BS secured funding support; Yang JS, Liu JM, and He BS critically revised the manuscript for important intellectual content; Liu JM and He BS contributed equally, provided overall scientific guidance, research resources, team coordination, and final oversight of the manuscript as co-corresponding authors; all authors read and approved the final version of the manuscript.
Supported by Nantong University Special Research Fund for Clinical Medicine, No. 2024 LQ022; Jiangsu Commission of Health, No. ZD2021059; and Nantong Municipal Commission of Health and Family Planning, No. QA2020002.
Institutional review board statement: The study was reviewed and approved by the Ethics Committee of Nantong First People’s Hospital, No. 2025-KT286-03.
Informed consent statement: This study was a retrospective study, and informed consent from patients was not required.
Conflict-of-interest statement: All authors declare no conflict of interest in publishing the manuscript.
Data sharing statement: All data generated or analyzed during this study are available from the corresponding author (He BS), upon reasonable request.
Corresponding author: Bo-Sheng He, PhD, Department of Radiology, Nantong First People’s Hospital, No. 666 Shengli Road, Nantong 226001, Jiangsu Province, China. boshenghe@126.com
Received: November 17, 2025
Revised: December 23, 2025
Accepted: February 3, 2026
Published online: April 14, 2026
Processing time: 138 Days and 20.5 Hours
Core Tip

Core Tip: Extramural vascular invasion represents a well-established determinant of prognosis in colon cancer; however, its reliable evaluation before surgery remains clinically challenging. The present study provided evidence that computed tomography-detected extramural vascular invasion (ctEMVI) functioned as an independent predictor of disease-free survival following curative resection. By incorporating ctEMVI with conventional clinicopathological factors, we developed interpretable machine-learning-based prediction models and a nomogram to enhance individualized preoperative risk assessment. Among the evaluated algorithms, CoxBoost demonstrated the strongest predictive capability. Collectively, these results underscored the clinical utility of ctEMVI-driven modeling approaches for refining preoperative risk stratification in patients with colon cancer.