Publication Name	World Journal of Gastroenterology
Manuscript ID	116220
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Retrospective Study
Article Title	Explainable machine learning model integrating clinical and radiomic features for predicting acute suppurative cholecystitis
Manuscript Source	Unsolicited Manuscript
All Author List	Guo-Dong Chen, Bai-Qing Chen, Yu-Hua Ge, Ji-Liang Liu, Kai-Wen Cheng, Han-Wei Xiao, Hong-Yu Long and Feng Xie
Funding Agency and Grant Number
Corresponding Author	Feng Xie, Department of Interventional Medicine, Jin Qiu Hospital of Liaoning Province, No. 317 Xiaonan Road, Shenhe District, Shenyang 110016, Liaoning Province, China. 15040255877@163.com
Key Words	Acute cholecystitis; Suppuration; Computed tomography; Radiomics; SHapley Additive exPlanations value
Core Tip	This multi-center study developed and validated a fusion model to preoperatively predict acute suppurative cholecystitis (ASC). By integrating clinical characteristics and computed tomography radiomics features using a stacking ensemble strategy, the fusion model achieved an area under the receiver operating characteristic curve (AUC) of 0.82 on the external test dataset, significantly outperforming the clinical (AUC = 0.75) and radiomics (AUC = 0.76) models alone. It also showed higher sensitivity (71.4%) while maintaining high specificity (83.1%). The study concludes that this clinical-radiomics model can significantly improve the predictive accuracy for ASC, aiding in better surgical planning and risk assessment.
Citation	Chen GD, Chen BQ, Ge YH, Liu JL, Cheng KW, Xiao HW, Long HY, Xie F. Explainable machine learning model integrating clinical and radiomic features for predicting acute suppurative cholecystitis. World J Gastroenterol 2026; In press

Received	2025-11-06 08:36
Peer-Review Started	2025-11-06 08:45
First Decision by Editorial Office Director	2025-11-25 09:33
Return for Revision	2025-11-25 09:33
Revised	2025-12-04 00:45
Publication Fee Transferred	2025-12-05 10:48
Second Decision by Editor	2026-01-08 02:45
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-01-08 08:54
Articles in Press	2026-01-08 08:54
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1007-9327 (print) and 2219-2840 (online)
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/
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