Cargando…

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

BACKGROUND: Loss 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 al...

Descripción completa

Detalles Bibliográficos
Autores principales: Park, Sae-Jin, Yoon, Jeong Hee, Joo, Ijin, Lee, Jeong Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394977/
https://www.ncbi.nlm.nih.gov/pubmed/37528480
http://dx.doi.org/10.1186/s40644-023-00593-4
_version_ 1785083493223497728
author Park, Sae-Jin
Yoon, Jeong Hee
Joo, Ijin
Lee, Jeong Min
author_facet Park, Sae-Jin
Yoon, Jeong Hee
Joo, Ijin
Lee, Jeong Min
author_sort Park, Sae-Jin
collection PubMed
description BACKGROUND: Loss 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). METHODS: This 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). RESULTS: Patients 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. CONCLUSION: ND-sarcopenia determined by muscle volume on abdominal CT can predict poor survival outcomes and the occurrence of PTDM for LT recipients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40644-023-00593-4.
format Online
Article
Text
id pubmed-10394977
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-103949772023-08-03 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 Park, Sae-Jin Yoon, Jeong Hee Joo, Ijin Lee, Jeong Min Cancer Imaging Research Article BACKGROUND: Loss 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). METHODS: This 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). RESULTS: Patients 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. CONCLUSION: ND-sarcopenia determined by muscle volume on abdominal CT can predict poor survival outcomes and the occurrence of PTDM for LT recipients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40644-023-00593-4. BioMed Central 2023-08-02 /pmc/articles/PMC10394977/ /pubmed/37528480 http://dx.doi.org/10.1186/s40644-023-00593-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Park, Sae-Jin
Yoon, Jeong Hee
Joo, Ijin
Lee, Jeong Min
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394977/
https://www.ncbi.nlm.nih.gov/pubmed/37528480
http://dx.doi.org/10.1186/s40644-023-00593-4
work_keys_str_mv AT parksaejin newlydevelopedsarcopeniaafterlivertransplantationdeterminedbyafullyautomated3dmusclevolumeestimationonabdominalctcanpredictposttransplantdiabetesmellitusandpoorsurvivaloutcomes
AT yoonjeonghee newlydevelopedsarcopeniaafterlivertransplantationdeterminedbyafullyautomated3dmusclevolumeestimationonabdominalctcanpredictposttransplantdiabetesmellitusandpoorsurvivaloutcomes
AT jooijin newlydevelopedsarcopeniaafterlivertransplantationdeterminedbyafullyautomated3dmusclevolumeestimationonabdominalctcanpredictposttransplantdiabetesmellitusandpoorsurvivaloutcomes
AT leejeongmin newlydevelopedsarcopeniaafterlivertransplantationdeterminedbyafullyautomated3dmusclevolumeestimationonabdominalctcanpredictposttransplantdiabetesmellitusandpoorsurvivaloutcomes