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

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Figure 2 Overview of the proposed method. A: Liver/Lesion segmentation and pre-processing; B: Evidence-based scoring of major features; C: Threshold determination for arterial phase hyper-enhancement, washout, and capsule; D: Major feature classification and Liver Imaging Reporting and Data System categorization. ROI: Region of interest; APHE: Arterial phase hyper-enhancement.

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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