Publication Name	World Journal of Radiology
Manuscript ID	121161
DOI	10.4329/wjr.121161
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Retrospective Study
Article Title	Computed tomography radiomics-based machine learning nomogram for preoperative prediction of glypican-3 expression in hepatocellular carcinoma
Manuscript Source	Unsolicited Manuscript
All Author List	Zi-Han Zheng, Chun-Hua Wu, Jin-Bo Hu, Jun-Feng Xu, Xin-Yue Zi, Jin-Hui Chen, Qin He and Wen-Ying Dong
Funding Agency and Grant Number	Funding Agency Grant Number the Key Research and Development Program in the Field of Biomedicine of the Dali Science and Technology Bureau No. 20252903B030003
Corresponding Author	Wen-Ying Dong, Director, Internal Medicine Teaching and Research, College of Nursing of Dali University, No. 22 Wanhua Road, Dali 671003, Yunnan Province, China. 157273210@qq.com
Key Words	Hepatocellular carcinoma; Glypican-3; Radiomics; Machine learning; Nomogram
Core Tip	Glypican-3 is a clinically relevant biomarker in hepatocellular carcinoma, but its expression is usually confirmed only after biopsy or surgical resection. This study developed a computed tomography radiomics-based machine learning nomogram for the preoperative, noninvasive prediction of glypican-3 expression. The combined model integrated a random forest-derived radiomics signature with alpha-fetoprotein and total bilirubin and showed strong predictive performance, with evidence of clinical utility. This imaging-based approach may support preoperative risk stratification and individualized management in patients with hepatocellular carcinoma.
Citation	Zheng ZH, Wu CH, Hu JB, Xu JF, Zi XY, Chen JH, He Q, Dong WY. Computed tomography radiomics-based machine learning nomogram for preoperative prediction of glypican-3 expression in hepatocellular carcinoma. World J Radiol 2026; In press DOI: https://doi.org/10.4329/wjr.121161
PDF	121161-in-press.pdf

Received	2026-03-23 01:56
Peer-Review Started	2026-03-23 01:56
First Decision by Editorial Office Director	2026-04-03 06:41
Return for Revision	2026-04-03 09:35
Revised	2026-04-16 06:43
Publication Fee Transferred	2026-04-23 06:15
Second Decision by Editor	2026-06-08 02:40
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-06-08 09:56
Articles in Press	2026-06-08 09:56
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1949-8470 (online)
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Copyright	©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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