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

ABSTRACT:

Objectives

Emerging evidence suggests a potential relationship between body composition and short-term prognosis of ulcerative colitis (UC). Early and accurate assessment of rapid remission based on conventional therapy via abdominal computed tomography (CT) images has rarely been investigated. This study aimed to build a prediction model using CT-based body composition parameters for UC risk stratification.

Methods

In total, 138 patients with abdominal CT images were enrolled. Eleven quantitative parameters related to body composition involving skeletal muscle mass, visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT) were measured and calculated using a semi-automated segmentation method. A prediction model was established with significant parameters using

SUBMITTER: Lu J 

PROVIDER: S-EPMC10899140 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature