AI-derived body composition parameters as prognostic factors in patients with HCC undergoing TACE in a multicenter study.

ABSTRACT:

Background & aims

Body composition assessment (BCA) parameters have recently been identified as relevant prognostic factors for patients with hepatocellular carcinoma (HCC). Herein, we aimed to investigate the role of BCA parameters for prognosis prediction in patients with HCC undergoing transarterial chemoembolization (TACE).

Methods

This retrospective multicenter study included a total of 754 treatment-naïve patients with HCC who underwent TACE at six tertiary care centers between 2010-2020. Fully automated artificial intelligence-based quantitative 3D volumetry of abdominal cavity tissue composition was performed to assess skeletal muscle volume (SM), total adipose tissue (TAT), intra- and intermuscular adipose tissue, visceral adipose tissue, and subcutaneous adipose ti

SUBMITTER: Muller L 

PROVIDER: S-EPMC11321290 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature