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

The interpretable RC model could successfully stratify HCC patients into TACE responders and TACE nonresponders and serve as a potential tool to identify more appropriate HCC patients for TACE, thus sparing patients from receiving ineffective and unnecessary treatments.

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Publication Details

Journal
World Journal of Radiology
Published
2026-02-24
DOI
https://doi.org/10.4329/wjr.v18.i2.116486
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Mao-Ting Zhou, Qi Mao, Hao Xu, Lin Yang et al.
World Journal of Radiology
Hepatocellular Carcinoma Treatment and Prognosis
article

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

Mao-Ting Zhou, Qi Mao, Hao Xu, Lin Yang, Peng Zhang, Yue Shi, Xu-Li Min, Xiao-Ming Zhang
article en

Abstract

The interpretable RC model could successfully stratify HCC patients into TACE responders and TACE nonresponders and serve as a potential tool to identify more appropriate HCC patients for TACE, thus sparing patients from receiving ineffective and unnecessary treatments.

World Journal of RadiologyVol. 18(2)
North Sichuan Medical University (CN), Affiliated Hospital of North Sichuan Medical College (CN), Yueqing People's Hospital (CN)
Openalex Percentile: Top 47%
Hepatocellular Carcinoma Treatment and Prognosis
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