Analysis workflow of Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer
 A) Examples of lung adenocarcinomas tumors imaged with computed tomography (CT) imaging (left) and segmented in 3D (right). B) Quantification of the tumor phenotype using radiomics feature algorithms. C) Radiomic and clinical data was used to develop signatures for EGFR and KRAS mutation status from four independent datasets, to investigate associations between the radiomic features and somatic mutations in lung adenocarcinomas. Details on the patient and tumor characteristics of these cohorts are shown in Supplemental Table 1 and Supplemental Data 1."
Somatic Mutations & Imaging Phenotyoes in Lung Cancer