Radiomics based on tumor and multiple body components on MRI to predict outcome in rectal Cancer

Motivation: In rectal cancer, the existing stratification of prognosis is mainly based on the established TNM tumor staging system, which limits clinical decision-making. Goal(s): Construct a model to provides prognostic information preoperatively. Approach: This study established radiomics models to predict the disease-free survival (DFS) in rectal cancer, based on tumor, and multiple body components (including mesenteric fat and pelvic skeletal muscles) in MRI. Results: The radiomics model based on tumor and multiple body components of MRI in rectal cancer, have good predictive value for DFS in rectal cancer patients at 2 years after surgery. Impact: The model that provides prognostic information at the time of cancer diagnosis would be useful for optimizing treatment and monitoring.