Single cross-sectional area of pectoralis muscle by computed tomography - correlation with bioelectrical impedance based skeletal muscle mass in healthy subjects

医学 生物电阻抗分析 胸大肌 骨骼肌 肌肉团 计算机断层摄影术 解剖 肌萎缩 胸肌 心脏病学 核医学 内科学 体质指数 放射科
作者
Young Saing Kim,Eun Young Kim,Shin Myung Kang,Hee Kyung Ahn,Hyung Sik Kim
出处
期刊:Clinical Physiology and Functional Imaging [Wiley]
卷期号:37 (5): 507-511 被引量:45
标识
DOI:10.1111/cpf.12333
摘要

Skeletal muscle depletion is an important prognostic factor in patients with chronic obstructive pulmonary disease (COPD); a recent study demonstrated significant correlations between pectoralis muscle area on an axial CT image and COPD-related traits. The purpose of this study was to evaluate the relation between pectoralis muscle areas on CT scans and total body skeletal muscle mass (SMM) in healthy subjects.For 434 subjects that underwent a low-dose chest CT and bioelectrical impedance analysis (BIA) during health screening from January to June of 2014, cross-sectional area of pectoralis muscles were measured in CT scans. Pearson's correlation and multiple linear regression analysis were used to assess the relationship between cross-sectional CT areas of pectoralis muscles and BIA-assessed SMMs.Mean age was 50 ± 10 years (78·8% were male). The mean cross-sectional area of pectoralis muscles was 24·1 cm2 ± 6·8. A moderate correlation was observed between pectoralis muscle area and BIA-based SMM (r = 0·665, P<0.001). Multivariable analysis showed CT determined pectoralis muscle area was significantly associated with BIA-assessed SMM after adjusting for gender, weight, height and age (β = 0·14 ± 0·02, P<0·001).Cross-sectional area of the pectoralis muscles on single axial CT images shows moderate correlation with total body SMM determined by BIA in healthy subjects.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
1秒前
1秒前
小芒果发布了新的文献求助10
1秒前
SciGPT应助小小采纳,获得10
1秒前
华仔应助研友_Z7XoE8采纳,获得10
1秒前
fxx完成签到,获得积分10
2秒前
2秒前
2秒前
玻尿酸发布了新的文献求助10
2秒前
斯文败类应助hhhhh采纳,获得10
2秒前
包远锋完成签到,获得积分10
3秒前
00完成签到 ,获得积分10
3秒前
平安喜乐完成签到,获得积分10
3秒前
激昂的亦瑶完成签到,获得积分10
3秒前
3秒前
ww2026应助明理的小甜瓜采纳,获得30
3秒前
kongxiangjiu发布了新的文献求助20
3秒前
情怀应助MKjou采纳,获得10
3秒前
科研通AI6.1应助黑色熊猫采纳,获得10
4秒前
4秒前
4秒前
SHY1994完成签到,获得积分10
5秒前
5秒前
5秒前
Zz发布了新的文献求助10
5秒前
shima333完成签到,获得积分20
5秒前
5秒前
困困发布了新的文献求助10
5秒前
SciGPT应助喵喵采纳,获得10
5秒前
喜悦的天玉完成签到,获得积分10
6秒前
任性的曼卉完成签到,获得积分10
6秒前
6秒前
寒冷紫发布了新的文献求助10
6秒前
zlz完成签到,获得积分10
6秒前
livinglast发布了新的文献求助10
6秒前
6秒前
DANK1NG发布了新的文献求助10
7秒前
anti1988完成签到,获得积分10
7秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Cold War Transcended: Australia's China Policy, 1949-1990 998
Signals, Systems, and Signal Processing 610
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
Testimonial Injustice and Trust 510
Burger's Medicinal Chemistry and Drug Discovery 400
Fundamentals of Body MRI 3rd Edition 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6640996
求助须知:如何正确求助?哪些是违规求助? 8398369
关于积分的说明 17957768
捐赠科研通 5829258
什么是DOI,文献DOI怎么找? 2968182
邀请新用户注册赠送积分活动 1943103
关于科研通互助平台的介绍 1859484