AMERICAN JOURNAL OF ROENTGENOLOGY, vol.212, no.3, 2019 (SCI-Expanded)
Article / Article
AMERICAN JOURNAL OF ROENTGENOLOGY
Science Citation Index Expanded (SCI-EXPANDED), Scopus
Istanbul University Affiliated:
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).