Predicting recurrence risks in lung cancer patients using multimodal radiomics and random survival forests

Our radiomic model, consisting of stage and tumor, peritumoral, and bone marrow features from CT and FDG PET-CT significantly stratified patients into low- and high-risk of recurrence/progression.