Hypoxia-related and immune phenotype-related fusion model for non-invasive prognostication of hepatocellular carcinoma treated by TACE: a multicentre study
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The authors aimed to develop and validate a multimodal prognostication model for hepatocellular carcinoma (HCC) patients undergoing transarterial chemoembolisation (TACE) to improve survival outcome predictions. By integrating deep learning, conventional radiomics, and clinical variables, their clinical-radiologic model (CRM) demonstrated superior risk stratification compared to existing models. Additionally, multi-omic analyses revealed significant insights into the tumor immune microenvironment and cellular pathways associated with high-risk patients.
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