A short-term predictive model for disease progression in acute-on-chronic liver failure: integrating spectral CT extracellular liver volume and clinical characteristics.

ABSTRACT:

Background

Acute-on-chronic liver failure (ACLF) is a life-threatening hepatic syndrome. Therefore, this study aimed to develop a comprehensive model combining extracellular liver volume derived from spectral CT (ECV_IC-liver) and sarcopenia, for the early prediction of short-term (90-day) disease progression in ACLF.

Materials and methods

A retrospective cohort of 126 ACLF patients who underwent hepatic spectral CT scans was included. According to the Asia-Pacific Association for the Study of the Liver (APASL) criteria, patients were divided into the progression group (n = 70) and the stable group (n = 56). ECV_IC-liver was measured on the equilibrium period (EP) images of spectral CT, and L3-SMI was measured on unenhanced CT images, with sarcopenia asse

SUBMITTER: Xu Y 

PROVIDER: S-EPMC11877947 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature