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Radiogenomics in Clear Cell Renal Cell Carcinoma: Machine Learning–Based High-Dimensional Quantitative CT Texture Analysis in Predicting PBRM1 Mutation Status

2 Jan 2019

Abstract excerpt

OBJECTIVE: The purpose of this study is to evaluate the potential value of machine learning (ML)-based high-dimensional quantitative CT texture analysis in predicting the mutation status of the gene encoding the protein polybromo-1 (PBRM1) in patients with clear cell renal cell carcinoma (RCC). MATERIALS AND METHODS: In this retrospective study, 45 patients with clear cell RCC (29 without the PBRM1 mutation and...

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PMID: 30601030
DOI: 10.2214/ajr.18.20443

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