Magnetic Resonance Deep Learning Radiomic Model Based on Distinct Metastatic Vascular Patterns for Evaluating Recurrence‐Free Survival in Hepatocellular Carcinoma
Cheng Zhang,
Li‐di Ma,
Xiao‐lan Zhang
et al.
Abstract:BackgroundThe metastatic vascular patterns of hepatocellular carcinoma (HCC) are mainly microvascular invasion (MVI) and vessels encapsulating tumor clusters (VETC). However, most existing VETC‐related radiological studies still focus on the prediction of VETC status.PurposeThis study aimed to build and compare VETC‐MVI related models (clinical, radiomics, and deep learning) associated with recurrence‐free survival of HCC patients.Study TypeRetrospective.Population398 HCC patients (349 male, 49 female; median … Show more
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