AI-based body composition score predicts survival after liver transplantation
Eugen Malamutmann, Friederike Roehrborn, Ksenia Vershinina, Sven Koitka, Derar Jaradat, Sophia M. Schmitz, Johannes Haubold, Ulf P. Neumann, Felix Nensa, Arzu Oezcelik

TL;DR
An AI-based body composition score can predict survival after liver transplantation, with differences in fat and muscle ratios affecting outcomes in both men and women.
Contribution
The study introduces an AI-based method to assess body composition and identifies fat-to-muscle ratios as significant survival predictors after liver transplantation.
Findings
The ratio of subcutaneous fat volume to muscle volume is a significant prognostic parameter for overall survival.
The visceral fat to muscle volume ratio (FVM-ratio) significantly impacts survival in both male and female liver transplant patients.
Visceral fat and FVM-ratio are significantly higher in male patients compared to female patients.
Abstract
Body composition has a significant role to predict survival in patients with malignant disease. This study evaluates the importance of body composition for predicting short- and long-term survival after liver transplantation. Additionally, the sex specific differences will be evaluated. Body composition, of all patients who underwent liver transplantation between January 2011 and December 2023 with computed tomography prior liver transplantation, was assessed fully automated with AI based technique. Pre-, intra- and postoperative data were retrospectively reported. Uni- and multivariate regression analyses was performed to identify independent prognostic factors for survival. The statistical analyses was performed separately for male and female with comparison of the both groups. There were 346 patients (60.1%male, 39.9%female) with median age of 52.2 years (SD 10.8) included to the…
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Taxonomy
TopicsNutrition and Health in Aging · Liver Disease Diagnosis and Treatment · Liver Disease and Transplantation
