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

Cancer Imaging

Research Article

Sae-Jin Park¹  Jeong Hee Yoon²  Ijin Joo²  Jeong Min Lee³ 

[1]Department of Radiology, SMG - SNU Boramae Medical Center, Seoul, Korea

[2]Department of Radiology, Seoul National University Hospital, Seoul, Korea

[3]Department of Radiology, Seoul National University College of Medicine, Seoul, Korea

[4]Department of Radiology, Seoul National University Hospital, Seoul, Korea

[5]Department of Radiology, Seoul National University College of Medicine, Seoul, Korea

[6]Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea

关键词: CT;    Sarcopenia;    Diabetes;    Deep learning;    Automatic segmentation;   

DOI  :  10.1186/s40644-023-00593-4

 received in 2023-03-15, accepted in 2023-07-12,  发布年份 2023

来源: Springer

【 摘 要 】

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.

【 授权许可】

CC BY   
© The Author(s) 2023

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