Computed tomography-based body composition parameters can predict short-term prognosis in ulcerative colitis patients

ConclusionsThe predicting model constructed with CT-based body composition parameters is a potential non-invasive approach for short-term prognosis identification and risk stratification. Additionally, VAT density was an independent predictor for escalating therapeutic regimens in UC cohorts.Critical relevance statementThe CT images were used for evaluating body composition and risk stratification of ulcerative colitis patients, and a potential non-invasive prediction model was constructed to identify non-responders with conventional therapy for making therapeutic regimens timely and accurately.Key points• CT-based prediction models help divide patients into invalidation and remission groups in UC.• Results of the subgroup analysis confirmed the stability of the prediction model with a high AUC (all >  0.820).• The visceral adipose tissue density was an independent predictor of bad short-term prognosis in UC.Graphical Abstract
Source: Insights into Imaging - Category: Radiology Source Type: research