Explainable machine learning model integrating clinical and radiomic features for predicting acute suppurative cholecystitis

doi:10.3748/wjg.v32.i11.116220

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World Journal of Gastroenterology

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1007-9327

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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 Gastroenterol. Mar 21, 2026; 32(11): 116220
Published online Mar 21, 2026. doi: 10.3748/wjg.v32.i11.116220

Table 3 Diagnostic performance of the clinical model, radiomics model and fusion model for predicting acute suppurative cholecystitis

Model	Dataset	AUC (95%CI)	Sensitivity (%)	Specificity (%)	Accuracy (%)	DeLong test P value
Model	Dataset	AUC (95%CI)	Sensitivity (%)	Specificity (%)	Accuracy (%)	P vs clinical	P vs radiomics
Clinical	Training	0.7841 (0.7079-0.8557)	53.3	86.7	73.3
Radiomics	Training	0.8043 (0.7224-0.8724)	63.3	85.5	76.7	0.686
Fusion	Training	0.8478 (0.7773-0.9070)	65.0	85.6	77.3	0.046	0.039
Clinical	Validation	0.7450 (0.5915-0.8800)	57.9	92.9	82.0
Radiomics	Validation	0.7807 (0.6405-0.9021)	63.2	83.3	77.1	0.713
Fusion	Validation	0.8396 (0.7214-0.9385)	63.2	90.5	82.0	0.140	0.192
Clinical	Test	0.7459 (0.6345-0.8497)	45.7	87.7	73.0
Radiomics	Test	0.7631 (0.6658-0.8515)	62.9	73.9	70.0	0.794
Fusion	Test	0.8264 (0.7327-0.9063)	71.4	83.1	79.0	0.049	0.047

AUC: Area under the receiver operating characteristic curve; CI: Confidence interval.

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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; 32(11): 116220
URL: https://www.wjgnet.com/1007-9327/full/v32/i11/116220.htm
DOI: https://dx.doi.org/10.3748/wjg.v32.i11.116220

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; 32(11): 116220 [DOI: 10.3748/wjg.v32.i11.116220]

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