Deep learning-enhanced peritumoral radiomics predicts early recurrence after hepatocellular carcinoma ablation: A two-center study

doi:10.4251/wjgo.122464

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World Journal of Gastrointestinal Oncology

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1948-5204

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Retrospective Cohort Study

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 Gastrointest Oncol. Oct 15, 2026; 18(10): 122464
Published online Oct 15, 2026. doi: 10.4251/wjgo.122464

Table 2 Feature selection results from univariate and multivariate analysis

Name	Univariable			Multivariable
Name	OR	95%CI	P value	OR	95%CI	P value
Np
< 1.8	-	-	-	-	-	-
1.8-6.3	0.70	0.30-1.64	0.416	0.72	0.29-1.77	0.476
> 6.3	0.39	0.16-0.99	0.046	0.29	0.10-0.80	0.017
IV
Positive	-	-	-	-	-	-
Negative	2.28	1.14-4.54	0.02	1.67	0.78-3.57	0.19
IN
Positive	-	-	-	-	-	-
Negative	2.13	1.10-4.12	0.024	2.55	1.17-5.57	0.018

OR: Odds ratio; Np: Postoperative neutrophil; IV: Intratumorvascularity; IN: Intratumornecrosis.

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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; 18(10): 122464
URL: https://www.wjgnet.com/1948-5204/full/v18/i10/122464.htm
DOI: https://dx.doi.org/10.4251/wjgo.122464

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; 18(10): 122464 [DOI: 10.4251/wjgo.122464]

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