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

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

Abstract 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 lea...

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Bibliographic Details
Main Authors: Sae-Jin Park, Jeong Hee Yoon, Ijin Joo, Jeong Min Lee
Format: Article
Language:English
Published: BMC 2023-08-01
Series:Cancer Imaging
Subjects:
CT
Sarcopenia
Diabetes
Deep learning
Automatic segmentation
Online Access:https://doi.org/10.1186/s40644-023-00593-4

Internet

https://doi.org/10.1186/s40644-023-00593-4

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