Publication Name	World Journal of Gastrointestinal Oncology
Manuscript ID	122464
DOI	10.4251/wjgo.122464
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Retrospective Cohort Study
Article Title	Deep learning-enhanced peritumoral radiomics predicts early recurrence after hepatocellular carcinoma ablation: A two-center study
Manuscript Source	Unsolicited Manuscript
All Author List	Yong-Hai Li, Ling Yao, Gui-Xiang Qian, Xue-Di Lei, Zi-Qi Tang, Bao-Yun Guo, Rui Du, Yu Zhu and Wei-Dong Jia
Funding Agency and Grant Number	Funding Agency Grant Number The National Key Research and Development Program of China No. 2022YFA1304504 Health Science and Technology Projects of Hefei Municipal Health Commission No. Hwk2025zd005
Corresponding Author	Wei-Dong Jia, Full Professor, Department of Hepatic Surgery, The First Affiliated Hospital of University of Science and Technology of China, University of Science and Technology of China, No. 17 Lujiang Road, Luyang District, Hefei 230001, Anhui Province, China. niche118118@sina.com
Key Words	Hepatocellular carcinoma; Radiomics; Peritumoral; Deep learning; Early recurrence
Core Tip	This study developed a deep learning-enhanced peritumoral radiomics model to predict early recurrence after hepatocellular carcinoma ablation. Among the evaluated peritumoral regions, the 10-mm peritumoral model showed the best numerical performance. The combined model integrating 10-mm peritumoral deep learning features and clinical imaging features enabled individualized recurrence risk stratification and may aid in developing personalized treatment strategies.
Citation	Li YH, Yao L, Qian GX, Lei XD, Tang ZQ, Guo BY, Du R, Zhu Y, Jia WD. Deep learning-enhanced peritumoral radiomics predicts early recurrence after hepatocellular carcinoma ablation: A two-center study. World J Gastrointest Oncol 2026; In press DOI: https://doi.org/10.4251/wjgo.122464
PDF	122464-in-press.pdf

Received	2026-04-20 07:15
Peer-Review Started	2026-04-20 07:15
First Decision by Editorial Office Director	2026-04-29 10:17
Return for Revision	2026-05-01 12:58
Revised	2026-06-11 03:00
Publication Fee Transferred	2026-06-18 09:14
Second Decision by Editor	2026-07-30 02:32
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-07-30 09:47
Articles in Press	2026-07-30 09:47
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-5204 (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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