Evidence-based radiologist-supervised automated Liver Imaging Reporting and Data System categorization for the diagnosis of hepatocellular carcinoma

doi:10.3748/wjg.v32.i14.116041

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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. Apr 14, 2026; 32(14): 116041
Published online Apr 14, 2026. doi: 10.3748/wjg.v32.i14.116041

Table 3 Performance of Liver Imaging Reporting and Data System category classification between grade 3 and combined grade 4/5

Data sets and metrics	AUC	Sensitivity, %	Specificity, %	Accuracy, %	F1 score
Center 1	0.918	97.9	85.7	95.2	0.969
Center 2	0.826	93.8	71.4	88.2	0.923
Center 3	0.861	92.1	80.0	90.4	0.943

AUC: Area under the receiver operating characteristic curve.

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Citation: Xia XQ, Sheng RF, Zheng RC, Dai YX, Yang L, Chu YH, Zhang H, Wu XR, Shi NN, Wang CY, Zeng MS, Wang H. Evidence-based radiologist-supervised automated Liver Imaging Reporting and Data System categorization for the diagnosis of hepatocellular carcinoma. World J Gastroenterol 2026; 32(14): 116041
URL: https://www.wjgnet.com/1007-9327/full/v32/i14/116041.htm
DOI: https://dx.doi.org/10.3748/wjg.v32.i14.116041

Xia XQ, Sheng RF, Zheng RC, Dai YX, Yang L, Chu YH, Zhang H, Wu XR, Shi NN, Wang CY, Zeng MS, Wang H. Evidence-based radiologist-supervised automated Liver Imaging Reporting and Data System categorization for the diagnosis of hepatocellular carcinoma. World J Gastroenterol 2026; 32(14): 116041 [DOI: 10.3748/wjg.v32.i14.116041]

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