ArticleCancer imaging : the official publication of the International Cancer Imaging Society2023
Newly developed sarcopenia after liver transplantation, determined by a fully automated 3D muscle volume estimation on abdominal CT, can predict post-transplant diabetes mellitus and poor survival outcomes.
Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 9 citations in OpenAlex.
- Feasibility of Early Oral Nutritional Supplementation After Liver Transplantation: A Randomized Pilot Study.Clinical transplantation · 2026Trial
- Prognostic value of automated computed tomography body composition in hepatocellular carcinoma: a volumetric versus single-slice comparison.Journal of liver cancer · 2026Article
- From Continuous-Flow Mechanical Circulatory Support to Heart Transplantation: Hemodynamic, Immunometabolic, and Body Composition Determinants of Rehabilitation Outcomes.Journal of clinical medicine · 2026Review
- Artificial intelligence prognostication of liver disease using imaging.The British journal of radiology · 2026Review
- Association between visceral adipose tissue measured by deep neural network architecture and chronic kidney disease.Scientific reports · 2026Article
- Muscle Imaging Assessments in Sarcopenia: A Statement from China National Center for Orthopedics (NCO) and the East Meets West Action Group of the European Calcified Tissue Society (ECTS).Calcified tissue international · 2025Review
- Synergic value of 3D CT-derived body composition and triglyceride glucose body mass for survival prognostic modeling in unresectable pancreatic cancer.Frontiers in nutrition · 2025Article
- Impact of Pre- and Post-therapeutic Exercises in Sarcopenia and Pain in Liver Transplant Patients.Cureus · 2024Article
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Authors and funding
4 authors at 3 institutions in 3 countries.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundLoss of muscle mass is the most common complication of end-stage liver disease and negatively affects outcomes for liver transplantation (LT) recipients. We aimed to determine the prognostic value of a fully automated three-dimensional (3D) muscle volume estimation using deep learning algorithms on abdominal CT in patients who underwent liver transplantation (LT).
methodsThis retrospective study included 107 patients who underwent LT from 2014 to 2015. Serial CT scans, including pre-LT and 1- and 2-year follow-ups were performed. From the CT scans, deep learning-based automated body composition segmentation software was used to calculate muscle volumes in 3D. Sarcopenia was calculated by dividing average skeletal muscle area by height squared. Newly developed-(ND) sarcopenia was defined as the onset of sarcopenia 1 or 2 years after LT in patients without a history of sarcopenia before LT. Patients' clinical characteristics, including post-transplant diabetes mellitus (PTDM) and Model for end-stage liver disease score, were compared according to the presence or absence of sarcopenia after LT. A subgroup analysis was performed in the post-LT sarcopenic group. The Kaplan-Meier method was used for overall survival (OS).
resultsPatients with ND-sarcopenia had poorer OS than those who did not (P = 0.04, hazard ratio [HR], 3.34; 95% confidence interval [CI] 1.05 - 10.7). In the subgroup analysis for post-LT sarcopenia (n = 94), 34 patients (36.2%) had ND-sarcopenia. Patients with ND-sarcopenia had significantly worse OS (P = 0.002, HR 7.12; 95% CI 2.00 - 25.32) and higher PTDM occurrence rates (P = 0.02, HR 4.93; 95% CI 1.18 - 20.54) than those with sarcopenia prior to LT.
conclusionND-sarcopenia determined by muscle volume on abdominal CT can predict poor survival outcomes and the occurrence of PTDM for LT recipients.
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