Our objective was to use radiomic features extracted from MR images of the brain metastases to build machine learning models for predicting survival durations of patients with NSCLC according to the specific mutation status of their primary NSCLC, i.e., EGFR, ALK, or KRAS. The gene discussed is KRAS; the disease is non-small cell lung carcinoma.