定量周围计算机断层扫描测量肌肉面积和评估儿童瘦体组织质量。

Quantitative peripheral computed tomography to measure muscle area and assess lean soft tissue mass in children.

机构信息

Food, Nutrition, and Health Research Group, Faculty of Science, Pontificia Universidad Javeriana, Bogota, DC, Colombia.

Growth, Exercise, Nutrition, and Development (GENUD) Research Group, Universidad de Zaragoza, Zaragoza, Spain.

出版信息

Ann Hum Biol. 2021 Mar;48(2):93-100. doi: 10.1080/03014460.2021.1877352.

DOI:10.1080/03014460.2021.1877352

PMID:33470135

Abstract

BACKGROUND

Skeletal muscle is one of the main components of lean soft tissue mass (LSTM). Low levels in children affect locomotion, posture, and increase the risk of metabolic syndrome.

AIM

(1) To evaluate the association between muscle cross-sectional area (MCSA) of the lower left leg measured by peripheral quantitative computed tomography (pQCT) and total LSTM; namely, total left leg and left lower leg LSTM assessed by dual-energy X-ray absorptiometry (DXA) in a group of children, (2) to examine if MCSA is a predictor of LSTM, (3) to determine the ability of pQCT to identify children with low LSTM.

SUBJECTS AND METHODS

Lower left leg MCSA and LSTM were measured using pQCT and DXA, respectively, in 396 children.

RESULTS

Statistically significant positive correlations were found between the lower leg MCSA - total LSTM (² = 0.789), total leg LSTM (² = 0.79), and lower leg LSTM (² = 0.791) ( < .01). MCSA explained 64-68% of the variance in LSTM. Receiver operator characteristic (ROC) curves determined the capacity of the lower left leg MCSA to identify low LSTM in girls (AUC 0.95) and boys (AUC 0.87).

CONCLUSIONS

Our results showed that lower left leg MCSA, measured using pQCT, could be a tool to predict low LSTM in children.

摘要

背景

骨骼肌是去脂软组织质量（LSTM）的主要组成部分之一。儿童体内含量低会影响运动和姿势，并增加代谢综合征的风险。

目的

（1）评估通过外周定量计算机断层扫描（pQCT）测量的左小腿肌肉横截面积（MCSA）与总 LSTM 之间的相关性；即，通过双能 X 射线吸收法（DXA）评估的总左小腿和左小腿 LSTM；（2）检验 MCSA 是否可以预测 LSTM；（3）确定 pQCT 识别低 LSTM 儿童的能力。

受试者和方法

使用 pQCT 和 DXA 分别测量 396 名儿童的左小腿 MCSA 和 LSTM。

结果

左小腿 MCSA 与总 LSTM（² = 0.789）、总腿 LSTM（² = 0.79）和小腿 LSTM（² = 0.791）之间存在显著正相关（<0.01）。MCSA 解释了 LSTM 方差的 64-68%。受试者工作特征（ROC）曲线确定了左小腿 MCSA 识别女孩（AUC 0.95）和男孩（AUC 0.87）低 LSTM 的能力。