Prognostic implication of thoracic muscle and visceral fat in chest CT image in lung cancer screening participants
Principal Investigator
Name
Soon Ho Yoon
Degrees
M.D., Ph.D.
Institution
Seoul National University Hospital
Position Title
Clinical Associate Professor
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-695
Initial CDAS Request Approval
Jul 17, 2020
Title
Prognostic implication of thoracic muscle and visceral fat in chest CT image in lung cancer screening participants
Summary
Sarcopenia is a progressive and generalized age-related decline of muscle mass and function, and independent condition with an International Classification of Diseases-10 code in 2016. Sarcopenia is a crucial predictive biomarker of clinical outcomes, including postoperative complications and survival in various diseases, particularly combined with obesity. Sarcopenic obesity is typically assessed using abdominal cross-sectional CT or MR images at the level of L3 vertebra, and has not been systematically assessed on chest CT images as the chest CT images do not cover the L3 level. We recently developed a deep learning algorithm for the volumetric segmentation of whole-body composition with the segmentation accuracy of 98%. We also found that the amount of thoracic muscle and visceral fat well was correlated with that of whole-body muscle and visceral fat.
Aims
We aimed to evaluate the prognostic implication of CT volumes of thoracic muscle and visceral fat in lung cancer screening participants at risk for lung cancer and cardiovascular disease.
Collaborators
Jung Hee Hong