Computed tomography‐based radiomics nomogram using machine learning for predicting 1‐year surgical risk after diagnosis of Crohn's disease

Abstract

We successfully established and validated a CTE-based radiomic nomogram with both inflamed segment and mesenteric fat simultaneously evaluated to predict 1-year surgical risk in CD patients, which assisted in clinical decision-making and individualized management.