Correlation Between Bioelectrical Impedance Analysis and Chest CT-Measured Erector Spinae Muscle Area: A Cross-Sectional Study.
Correlation Between Bioelectrical Impedance Analysis and Chest CT-Measured Erector Spinae Muscle Area: A Cross-Sectional Study.
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DOI：
10.3389/fendo.2022.923200
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发表时间：
2022
影响因子：
5.2
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中科院分区：
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骨骼肌质量（SMM）在各种健康和疾病状态中起着重要作用。生物电阻抗分析（BIA）和计算机断层扫描（CT）可用于其评估。然而，通过BIA评估的肌肉质量可能受到多种因素的影响。胸部CT上的竖脊肌区（ESA）最近被认为是SMM的代表。本研究旨在从ESA中推导出BIA，并评估（胸部CT测量的ESA之间）与BIA的关联程度。纳入了2020年12月至2021年12月期间住院进行健康检查的受试者，接受了BIA（50 kHz，0.8 mA）和胸部CT。通过标准化半自动分割算法在第12胸椎水平（T12-ESA）对ESA进行定量。使用亚洲肌肉减少症工作组标准定义低SMM。然后评估T12-ESA和BIA之间的关联。还按性别和BMI进行了分层分析。在纳入的606例受试者（59.7 ± 16.6岁，63.5%为男性）中，110例（18.2%）的SMM较低。低和正常SMM组的BMI分别为20.1和24.7 kg/m2。低SMM组中吸烟、饮酒、慢性阻塞性肺疾病和慢性肾功能不全的发生率高于正常SMM组。最终的回归模型包括T12-ESA、体重、BMI和年龄，并且具有BIA的0.806的调整的R2。在验证组中，T12-ESA衍生的BIA和BIA之间的相关性仍然很高（Pearson相关性= 0.899）。分层分析显示，男性受试者T12-ESA与BIA之间的相关性强于女性受试者（调整的R2 = 0.790 vs.调整的R2 = 0.711，p < 0.05），在肥胖者中观察到更好的相关性，（BMI ≥ 30 kg/m2）与体重不足（BMI < 18.5 kg/m2）受试者相比（校正R2 = 0.852 vs.校正R2 = 0.723，p < 0.05）。另外的分析揭示了T12-ESA和第三腰椎（L3-CSA）处的骨骼肌横截面积之间的显著相关性（调整的R2 = 0.935，p < 0.001）。基于CT的T12水平ESA评估是可行的，并且与BIA相关性良好，特别是在男性受试者和肥胖受试者中。
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. 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. 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/m2, 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/m2) compared with underweight (BMI < 18.5 kg/m2) 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). CT-based assessment of ESA at the T12 level is feasible and correlated well with BIA, especially in male subjects and obese subjects.