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Correlation Between Bioelectrical Impedance Analysis and Chest CT-Measured Erector Spinae Muscle Area: A Cross-Sectional Study
BACKGROUND: Skeletal muscle mass (SMM) plays an important part in diverse health and disease states. Bioelectrical impedance analysis (BIA) and computed tomography (CT) are available for its assessment. However, muscle mass assessed by BIA may be influenced by multiple factors. The erector spinae mu...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9343984/ https://www.ncbi.nlm.nih.gov/pubmed/35928896 http://dx.doi.org/10.3389/fendo.2022.923200 |
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author | Cao, Jie Zuo, Didi Han, Tingting Liu, Hongxia Liu, Wenwen Zhang, Jia Weng, Yurong Jin, Xian Chen, Zengai Hu, Yaomin |
author_facet | Cao, Jie Zuo, Didi Han, Tingting Liu, Hongxia Liu, Wenwen Zhang, Jia Weng, Yurong Jin, Xian Chen, Zengai Hu, Yaomin |
author_sort | Cao, Jie |
collection | PubMed |
description | BACKGROUND: Skeletal muscle mass (SMM) plays an important part in diverse health and disease states. Bioelectrical impedance analysis (BIA) and computed tomography (CT) are available for its assessment. However, muscle mass assessed by BIA may be influenced by multiple factors. The erector spinae muscle area (ESA) on chest CT is recently presumed to be representative of SMM. This study aimed to derive BIA from the ESA and evaluate the magnitude of association (between ESA measured from chest CT) and BIA. METHODS: Subjects hospitalized for health checkups between December 2020 and December 2021, having undergone both BIA (50 kHz, 0.8 mA) and chest CT, were included. ESA was quantified at the level of the 12th thoracic vertebra (T12-ESA) by a standardized semi-automated segmentation algorithm. Low SMM was defined using the Asian Working Group for Sarcopenia criteria. The association between T12-ESA and BIA was then evaluated. Stratified analyses by sex and BMI were also performed. RESULTS: Among 606 included subjects (59.7 ± 16.6 years, 63.5% male), 110 (18.2%) had low SMM. BMI in low and normal SMM groups was 20.1 and 24.7 kg/m(2), respectively. Current smoking, drinking, chronic obstructive pulmonary disease, and chronic renal dysfunction were more frequently seen in the low SMM group than in the normal SMM group. The final regression model included T12-ESA, weight, BMI, and age, and had an adjusted R (2) of 0.806 with BIA. In the validation group, the correlation between T12-ESA-derived BIA and BIA remained high (Pearson correlation = 0.899). Stratified analysis disclosed a stronger correlation between T12-ESA and BIA in male subjects than in female subjects (adjusted R (2) = 0.790 vs. adjusted R (2) = 0.711, p < 0.05), and a better correlation was observed in obese (BMI ≥ 30 kg/m(2)) compared with underweight (BMI < 18.5 kg/m(2)) subjects (adjusted R (2 =) 0.852 vs. adjusted R (2) = 0.723, p < 0.05). Additional analysis revealed a significant correlation between T12-ESA and skeletal muscle cross-sectional area at the 3rd lumbar vertebra (L3-CSA) (adjusted R (2) = 0.935, p < 0.001). CONCLUSIONS: CT-based assessment of ESA at the T12 level is feasible and correlated well with BIA, especially in male subjects and obese subjects. |
format | Online Article Text |
id | pubmed-9343984 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93439842022-08-03 Correlation Between Bioelectrical Impedance Analysis and Chest CT-Measured Erector Spinae Muscle Area: A Cross-Sectional Study Cao, Jie Zuo, Didi Han, Tingting Liu, Hongxia Liu, Wenwen Zhang, Jia Weng, Yurong Jin, Xian Chen, Zengai Hu, Yaomin Front Endocrinol (Lausanne) Endocrinology BACKGROUND: Skeletal muscle mass (SMM) plays an important part in diverse health and disease states. Bioelectrical impedance analysis (BIA) and computed tomography (CT) are available for its assessment. However, muscle mass assessed by BIA may be influenced by multiple factors. The erector spinae muscle area (ESA) on chest CT is recently presumed to be representative of SMM. This study aimed to derive BIA from the ESA and evaluate the magnitude of association (between ESA measured from chest CT) and BIA. METHODS: Subjects hospitalized for health checkups between December 2020 and December 2021, having undergone both BIA (50 kHz, 0.8 mA) and chest CT, were included. ESA was quantified at the level of the 12th thoracic vertebra (T12-ESA) by a standardized semi-automated segmentation algorithm. Low SMM was defined using the Asian Working Group for Sarcopenia criteria. The association between T12-ESA and BIA was then evaluated. Stratified analyses by sex and BMI were also performed. RESULTS: Among 606 included subjects (59.7 ± 16.6 years, 63.5% male), 110 (18.2%) had low SMM. BMI in low and normal SMM groups was 20.1 and 24.7 kg/m(2), respectively. Current smoking, drinking, chronic obstructive pulmonary disease, and chronic renal dysfunction were more frequently seen in the low SMM group than in the normal SMM group. The final regression model included T12-ESA, weight, BMI, and age, and had an adjusted R (2) of 0.806 with BIA. In the validation group, the correlation between T12-ESA-derived BIA and BIA remained high (Pearson correlation = 0.899). Stratified analysis disclosed a stronger correlation between T12-ESA and BIA in male subjects than in female subjects (adjusted R (2) = 0.790 vs. adjusted R (2) = 0.711, p < 0.05), and a better correlation was observed in obese (BMI ≥ 30 kg/m(2)) compared with underweight (BMI < 18.5 kg/m(2)) subjects (adjusted R (2 =) 0.852 vs. adjusted R (2) = 0.723, p < 0.05). Additional analysis revealed a significant correlation between T12-ESA and skeletal muscle cross-sectional area at the 3rd lumbar vertebra (L3-CSA) (adjusted R (2) = 0.935, p < 0.001). CONCLUSIONS: CT-based assessment of ESA at the T12 level is feasible and correlated well with BIA, especially in male subjects and obese subjects. Frontiers Media S.A. 2022-07-19 /pmc/articles/PMC9343984/ /pubmed/35928896 http://dx.doi.org/10.3389/fendo.2022.923200 Text en Copyright © 2022 Cao, Zuo, Han, Liu, Liu, Zhang, Weng, Jin, Chen and Hu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Endocrinology Cao, Jie Zuo, Didi Han, Tingting Liu, Hongxia Liu, Wenwen Zhang, Jia Weng, Yurong Jin, Xian Chen, Zengai Hu, Yaomin Correlation Between Bioelectrical Impedance Analysis and Chest CT-Measured Erector Spinae Muscle Area: A Cross-Sectional Study |
title | Correlation Between Bioelectrical Impedance Analysis and Chest CT-Measured Erector Spinae Muscle Area: A Cross-Sectional Study |
title_full | Correlation Between Bioelectrical Impedance Analysis and Chest CT-Measured Erector Spinae Muscle Area: A Cross-Sectional Study |
title_fullStr | Correlation Between Bioelectrical Impedance Analysis and Chest CT-Measured Erector Spinae Muscle Area: A Cross-Sectional Study |
title_full_unstemmed | Correlation Between Bioelectrical Impedance Analysis and Chest CT-Measured Erector Spinae Muscle Area: A Cross-Sectional Study |
title_short | Correlation Between Bioelectrical Impedance Analysis and Chest CT-Measured Erector Spinae Muscle Area: A Cross-Sectional Study |
title_sort | correlation between bioelectrical impedance analysis and chest ct-measured erector spinae muscle area: a cross-sectional study |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9343984/ https://www.ncbi.nlm.nih.gov/pubmed/35928896 http://dx.doi.org/10.3389/fendo.2022.923200 |
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