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©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Oncol. Aug 15, 2025; 17(8): 108362
Published online Aug 15, 2025. doi: 10.4251/wjgo.v17.i8.108362
Published online Aug 15, 2025. doi: 10.4251/wjgo.v17.i8.108362
Noninvasive prediction of microsatellite instability in stage II/III rectal cancer using dynamic contrast-enhanced magnetic resonance imaging radiomics
Chao-Yang Zheng, Jia-Min Zhang, Qian-Sen Lin, Tao Lian, Jie-Yun Chen, Ya-Li Cai, Department of Radiology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou 362000, Fujian Province, China
Liang-Pan Shi, Department of Gastrointestinal Surgery, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou 362000, Fujian Province, China
Co-first authors: Chao-Yang Zheng and Jia-Min Zhang.
Co-corresponding authors: Jie-Yun Chen and Ya-Li Cai.
Author contributions: Zheng CY and Zhang JM contributed to study conception and design, data collection and analysis, radiomics feature extraction, statistical analysis, manuscript drafting; Chen JY and Cai YL contributed to study supervision, methodology guidance, manuscript revision, and final approval; Lin QS and Lian T contributed to magnetic resonance imaging image acquisition and quality control, radiomics analysis, data interpretation; Shi LP contributed to patient recruitment, clinical data collection, pathological correlation, and clinical interpretation; All authors contributed to manuscript review and approved the final version.
Supported by the Natural Science Foundation of Fujian Province, China, No. 2022J011460.
Institutional review board statement: This study was approved by the Ethics Committee of Quanzhou First Hospital (No. QYLL2022242).
Informed consent statement: Patient consent was waived due to the retrospective nature of the study and the use of anonymized clinical data.
Conflict-of-interest statement: The authors declare that they have no conflict of interest.
Data sharing statement: The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Ya-Li Cai, Deputy Director, Department of Radiology, Quanzhou First Hospital Affiliated to Fujian Medical University, No. 1028 Anji Road, Fengze District, Quanzhou 362000, Fujian Province, China. a13178082309@163.com
Received: May 9, 2025
Revised: June 16, 2025
Accepted: July 16, 2025
Published online: August 15, 2025
Processing time: 96 Days and 16.7 Hours
Revised: June 16, 2025
Accepted: July 16, 2025
Published online: August 15, 2025
Processing time: 96 Days and 16.7 Hours
Core Tip
Core Tip: This study proposes a novel non-invasive approach to assess microsatellite instability (MSI) status in stage II/III rectal cancer using dynamic contrast-enhanced magnetic resonance imaging-based radiomics combined with machine learning models. Distinct image omics features were identified between MSI-high and microsatellite stable/low tumors. The integrated clinic-radiomics model achieved superior diagnostic performance, providing a potential alternative to traditional invasive methods. This approach may improve early stratification and treatment decision-making for rectal cancer patients.