Interpretable radiomics model based on magnetic resonance imaging to predict responses to transarterial chemoembolization for hepatocellular carcinoma

doi:10.4329/wjr.v18.i2.116486

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World Journal of Radiology

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1949-8470

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

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

World J Radiol. Feb 28, 2026; 18(2): 116486
Published online Feb 28, 2026. doi: 10.4329/wjr.v18.i2.116486

Table 2 Univariate and multivariate logistic regression analyses of the clinical features associated with transarterial chemoembolization treatment response

Clinical feature	Univariate logistic regression analysis		Multivariate logistic regression analysis
Clinical feature	P value	OR (95%CI)	P value	OR (95%CI)
Sex	0.612	0.643 (0.117-3.541)
Age	0.954	0.973 (0.391-2.425)
Number of tumors	0.006	4.333 (1.512-12.416)	0.001	8.067 (2.276-28.594)
Maximum tumor diameter	0.003	4.250 (1.621-11.144)	0.001	7.637 (2.358-24.733)
Liver cirrhosis	0.384	1.500 (0.602-3.735)
Portal vein tumor thrombus	0.029	0.259 (0.077-0.869)
ALBI	0.409	1.443 (0.604-3.443)
CTP	0.252	1.909 (0.631-5.778)
NLR	0.862	0.923 (0.373-2.283)
PLR	0.603	0.786 (0.317-1.948)
ALT	0.131	2.032 (0.890-5.103)
ALB	0.729	1.174 (0.474-2.906)
AST	0.316	1.693 (0.605-4.735)
AFP	0.917	1.030 (0.596-1.777)

ALBI: Albumin-bilirubin; CTP: Child-Turcotte-Pugh; NLR: Neutrophil-to-lymphocyte ratio; PLR: Platelet-to-lymphocyte ratio; ALT: Alanine aminotransferase; ALB: Albumin; AST: Aspartate aminotransferase; AFP: Alpha-fetoprotein; OR: Odds ratio; CI: Confidence interval.

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Citation: Mao Q, Zhang P, Zhou MT, Shi Y, Min XL, Xu H, Yang L, Zhang XM. Interpretable radiomics model based on magnetic resonance imaging to predict responses to transarterial chemoembolization for hepatocellular carcinoma. World J Radiol 2026; 18(2): 116486
URL: https://www.wjgnet.com/1949-8470/full/v18/i2/116486.htm
DOI: https://dx.doi.org/10.4329/wjr.v18.i2.116486

Mao Q, Zhang P, Zhou MT, Shi Y, Min XL, Xu H, Yang L, Zhang XM. Interpretable radiomics model based on magnetic resonance imaging to predict responses to transarterial chemoembolization for hepatocellular carcinoma. World J Radiol 2026; 18(2): 116486 [PMID: 41809705 DOI: 10.4329/wjr.v18.i2.116486]

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