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Radiogenomics in Hepatocellular Carcinoma: Machine Learning Based CT Texture Analysis in Predicting β-Catenin Mutation Status

2021-02-22

Abstract excerpt

OBJECTIVE . The purpose of this study is to evaluate the potential value of CT radiomics in predicting the mutation status of β-catenin in patients with hepatic cell cancer (HCC). MATERIALS AND METHODS. In this retrospective study, 43 patients with hepatic cell HCC (18 without β-catenin mutation and 15 with β-catenin mutation) were identified in The Cancer Genome Atlas–hepatic liver Cell Carcinoma database (TCGA-L...

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Literature Corpus work
eea2c666-a41b-5878-9f7b-5541f9286ee0
DOI
10.21203/rs.3.rs-203679/v1
Open publication

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Radiogenomics in Hepatocellular Carcinoma: Machine Learning Based CT Texture Analysis in Predicting β-Catenin Mutation StatusDOI 10.21203/rs.3.rs-203679/v1
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