Predicting Survival Duration With MRI Radiomics of Brain Metastases From Non-small Cell Lung Cancer.

ABSTRACT: Background: Brain metastases are associated with poor survival. Molecular genetic testing informs on targeted therapy and survival. The purpose of this study was to perform a MR imaging-based radiomic analysis of brain metastases from non-small cell lung cancer (NSCLC) to identify radiomic features that were important for predicting survival duration. Methods: We retrospectively identified our study cohort via an institutional database search for patients with brain metastases from EGFR, ALK, and/or KRAS mutation-positive NSCLC. We segmented the brain metastatic tumors on the brain MR images, extracted radiomic features, constructed radiomic scores from significant radiomic features based on multivariate Cox regression analysis (p < 0.05), and built predictive models f

SUBMITTER: Chen BT 

PROVIDER: S-EPMC7973105 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature