Detailed identification of epidermal growth factor receptor mutations in lung adenocarcinoma: Combining radiomics with machine learning

Abstract

Our study shows the potential of radiomics to predict EGFR mutation status. There are imaging phenotypic differences between EGFR⁺ and EGFR^- , and between 19Del and L858R; these can be used to allow patients with lung adenocarcinoma to choose more appropriate and personalized treatment options.