Diagnosing sarcopenia and myosteatosis based on chest computed tomography images in healthy Chinese adults

Abstract Background Measuring muscle mass and muscle quality based on chest Computed Tomography (CT) images would facilitate sarcopenia and myosteatosis research. We aimed (1) to measure muscle mass and myosteatosis based on chest CT images at the 12th thoracic vertebra level and compare the relevan...

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Autores principales: Lingling Tan, Guiyi Ji, Ting Bao, Hongbo Fu, Ling Yang, Ming Yang
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Publicado: SpringerOpen 2021
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spelling oai:doaj.org-article:d1c8056322654da6846b01fd6c0b07092021-11-07T12:14:45ZDiagnosing sarcopenia and myosteatosis based on chest computed tomography images in healthy Chinese adults10.1186/s13244-021-01106-21869-4101https://doaj.org/article/d1c8056322654da6846b01fd6c0b07092021-11-01T00:00:00Zhttps://doi.org/10.1186/s13244-021-01106-2https://doaj.org/toc/1869-4101Abstract Background Measuring muscle mass and muscle quality based on chest Computed Tomography (CT) images would facilitate sarcopenia and myosteatosis research. We aimed (1) to measure muscle mass and myosteatosis based on chest CT images at the 12th thoracic vertebra level and compare the relevant indicators with whole-body skeletal muscle mass (BSM) and whole-body fat mass (BFM) measured by bioelectrical impedance analysis; and (2) to determine the cut-off points of these indicators for diagnosing sarcopenia or myosteatosis in healthy Chinese adults. Methods Chest CT images were analyzed using a segmentation software. Skeletal muscle area (SMA), skeletal muscle radiodensity (SMD), and intermuscular adiposity tissue (IMAT) were measured. Skeletal muscle indices (SMIs) and IMAT/SMA ratio were calculated. Results We included 569 participants. SMA, SMA/height2, and SMA/BMI were strongly and positively correlated with BSM (r = 0.90, 0.72, and 0.69, respectively, all p < 0.001); whereas SMA/weight was moderately and positively correlated with BSM (r = 0.38, p < 0.001). IMAT and IMAT/SMA were strongly and positively correlated with BFM (r = 0.67 and 0.58, respectively, both p < 0.001). SMD was moderately and negatively correlated with BFM (r = − 0.40, p < 0.001). We suggest SMA/height2 (< 25.75 cm2/m2 in men and < 20.16 cm2/m2 in women) for diagnosing sarcopenia and SMD (< 37.42 HU in men and < 33.17 HU in women) or IMAT (> 8.72 cm2 in men and > 4.58 cm2 in women) for diagnosing myosteatosis. Conclusions Muscle mass indicators (SMA and SMIs) and muscle quality indicators (SMD, IMAT, and IMAT/SMA) measured by chest CT images are valuable for diagnosing sarcopenia and myosteatosis, respectively.Lingling TanGuiyi JiTing BaoHongbo FuLing YangMing YangSpringerOpenarticleMuscle wastingMuscle depletionSkeletal muscle massComputed TomographyFat infiltrationMedical physics. Medical radiology. Nuclear medicineR895-920ENInsights into Imaging, Vol 12, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Muscle wasting
Muscle depletion
Skeletal muscle mass
Computed Tomography
Fat infiltration
Medical physics. Medical radiology. Nuclear medicine
R895-920
spellingShingle Muscle wasting
Muscle depletion
Skeletal muscle mass
Computed Tomography
Fat infiltration
Medical physics. Medical radiology. Nuclear medicine
R895-920
Lingling Tan
Guiyi Ji
Ting Bao
Hongbo Fu
Ling Yang
Ming Yang
Diagnosing sarcopenia and myosteatosis based on chest computed tomography images in healthy Chinese adults
description Abstract Background Measuring muscle mass and muscle quality based on chest Computed Tomography (CT) images would facilitate sarcopenia and myosteatosis research. We aimed (1) to measure muscle mass and myosteatosis based on chest CT images at the 12th thoracic vertebra level and compare the relevant indicators with whole-body skeletal muscle mass (BSM) and whole-body fat mass (BFM) measured by bioelectrical impedance analysis; and (2) to determine the cut-off points of these indicators for diagnosing sarcopenia or myosteatosis in healthy Chinese adults. Methods Chest CT images were analyzed using a segmentation software. Skeletal muscle area (SMA), skeletal muscle radiodensity (SMD), and intermuscular adiposity tissue (IMAT) were measured. Skeletal muscle indices (SMIs) and IMAT/SMA ratio were calculated. Results We included 569 participants. SMA, SMA/height2, and SMA/BMI were strongly and positively correlated with BSM (r = 0.90, 0.72, and 0.69, respectively, all p < 0.001); whereas SMA/weight was moderately and positively correlated with BSM (r = 0.38, p < 0.001). IMAT and IMAT/SMA were strongly and positively correlated with BFM (r = 0.67 and 0.58, respectively, both p < 0.001). SMD was moderately and negatively correlated with BFM (r = − 0.40, p < 0.001). We suggest SMA/height2 (< 25.75 cm2/m2 in men and < 20.16 cm2/m2 in women) for diagnosing sarcopenia and SMD (< 37.42 HU in men and < 33.17 HU in women) or IMAT (> 8.72 cm2 in men and > 4.58 cm2 in women) for diagnosing myosteatosis. Conclusions Muscle mass indicators (SMA and SMIs) and muscle quality indicators (SMD, IMAT, and IMAT/SMA) measured by chest CT images are valuable for diagnosing sarcopenia and myosteatosis, respectively.
format article
author Lingling Tan
Guiyi Ji
Ting Bao
Hongbo Fu
Ling Yang
Ming Yang
author_facet Lingling Tan
Guiyi Ji
Ting Bao
Hongbo Fu
Ling Yang
Ming Yang
author_sort Lingling Tan
title Diagnosing sarcopenia and myosteatosis based on chest computed tomography images in healthy Chinese adults
title_short Diagnosing sarcopenia and myosteatosis based on chest computed tomography images in healthy Chinese adults
title_full Diagnosing sarcopenia and myosteatosis based on chest computed tomography images in healthy Chinese adults
title_fullStr Diagnosing sarcopenia and myosteatosis based on chest computed tomography images in healthy Chinese adults
title_full_unstemmed Diagnosing sarcopenia and myosteatosis based on chest computed tomography images in healthy Chinese adults
title_sort diagnosing sarcopenia and myosteatosis based on chest computed tomography images in healthy chinese adults
publisher SpringerOpen
publishDate 2021
url https://doaj.org/article/d1c8056322654da6846b01fd6c0b0709
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