亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Comment on: “Pitfalls in the measurement of muscle mass: a need for a reference standard” by Buckinx et al.

肌肉团 医学 医学物理学 计算机科学 内科学
作者
Brian C. Clark,Dallin Tavoian,Bret H. Goodpaster,Peggy Mannen Cawthon,Ross Hansen,Todd Matthew Manini
出处
期刊:Journal of Cachexia, Sarcopenia and Muscle [Springer Science+Business Media]
卷期号:9 (7): 1269-1271 被引量:24
标识
DOI:10.1002/jcsm.12372
摘要

We read with interest the article by Buckinx et al.1 titled 'Pitfalls in the measurement of muscle mass: a need for a reference standard', which sought to review the methods to assess muscle mass and to reach consensus on the development of a 'reference standard'. This work was carried out by members of the European Society for Clinical and Economic Aspects of Osteoporosis and Osteoarthritis working group on frailty and sarcopenia. Their final conclusion was to adopt dual-energy X-ray absorptiometry (DXA) as a reference standard to (i) make studies comparable, (ii) improve diagnosis and treatment of sarcopenia, and (iii) monitor the development of muscle mass in healthy, athletic, and sick subjects, and state that '… DXA is the gold standard for the measurement of muscle mass'. DXA has several advantages as a tool to quantify appendicular lean soft tissue mass (LSTM). These advantages are namely related to feasibility and cost, which make it more clinically viable than several other competing technologies, such as magnetic resonance imaging (MRI) or computed tomography (CT). However, a word of caution is necessary, given the word standard is 'authoritative or recognized exemplar of quality or correctness', which is generally interpreted to denote the best tool available at a given time to compare different measures.2 We don't believe DXA should be considered the standard by which all other techniques should be judged. The most accurate methods of quantifying skeletal muscle size in vivo are, arguably, MRI and CT, as these technologies are near perfectly correlated with cadaveric values (r = 0.99) of full-length limb scans.3, 4 Accuracy of MRI single-slice anatomical cross sectional area has also been demonstrated in the quadriceps,5 and in response to exercise in the triceps brachii,6 with accuracy improving as the number of analysed slices increases.5 These methods are ideal in terms of accuracy and fit the terminology of a 'reference standard', but the high cost of instrumentation, lack of equipment availability, radiation (for CT), contraindications for scanning (namely for MRI), and the expertise required to operate the equipment and analyse the data often preclude the use of these devices in many settings. As such, DXA has gained popularity over the years through its ease of use, reduced cost, low radiation, and accessibility. While MRI and CT measures are estimates of appendicular muscle volume or cross sectional area (CSA), DXA is a measure of appendicular lean soft tissue mass,7 a substitute for muscle mass consisting of skeletal muscle (~75%) and skin and connective tissue (~25%).1, 7 Buckinx et al. correctly pointed out that appendicular LSTM measures by DXA are highly correlated with both MRI (r = 0.88) and CT (r = 0.77–0.95) measures of skeletal muscle volume.7-16 However, while this may be used to identify individuals with low muscle mass, there is evidence that repeated scans increase measurement error. DXA reliability studies have demonstrated good repeatability (less than 2% coefficient of variation)14, 15; however, least significant change (LSC) values (percent change in LSTM required to be accurately detected by DXA) have been reported in the range of 3.85–19.4% for individual extremities.14, 15 In these studies, scans were performed serially with a 5-min rest and subsequent repositioning prior to the second scan, indicating measurement differences can be attributed almost exclusively to machine and rater error. As such, tracking changes over time becomes problematic if at least a 4% increase/decrease in LSTM must occur for DXA to detect a change, which is made worse by the fact that other variables may increase measurement error (e.g. hydration status, the possibility that changes in tissue properties may occur in response to an exercise intervention).17, 18 Additionally, there is evidence that DXA-derived measures of change in mass correlate poorly with MRI- or CT-derived changes in mass/volume. While longitudinal comparison studies are few,18-23 several have reported poor to moderate agreement between DXA- and MRI- or CT-derived measures of percent change in size [explained variances (R2-values) on the order of 4–33%].19-22 For instance, Delmonico et al.20 compared changes in muscle size in older adults in response to a 3-month resistance exercise training programme and only found a moderate association (r = 0.53) between DXA and full-thigh multi-slice CT-derived measures of change in muscle size. In support, Hansen et al.19 also found a moderate association between mid-thigh CT single-slice CSA and DXA LSTM from a comparable region of interest (r = 0.51) in older adults after surgical repair of the femoral neck. The above-mentioned studies are not without limitations, and expressing changes in size is likely to magnify the differences that were observed. However, these studies highlight the probability that the measurement error of repeated DXA scans is magnified by increased time between scans and by interventions that may affect muscle and connective tissue morphology. At the very least, more carefully controlled studies tracking changes in LSTM over time should be performed. Data of this nature raise concern about the working group's recommendation that DXA be considered the standard for assessing muscle mass, particularly when one considers that their recommendation was within the broader context of monitoring the change in muscle mass in healthy adults, athletes, and in those managing chronic diseases. All authors certify that they comply with the ethical guidelines for authorship and publishing in the Journal of Cachexia, Sarcopenia, and Muscle.24 B.C.C. has received research funding from Regeneron Pharmaceuticals, Astellas Pharma Global Development, Inc., and RTI Health Solutions. In the past 5 years, B.C. has received consulting fees from Regeneron Pharmaceuticals, Abbott Laboratories, and the Gerson Lehrman Group. Additionally, B.C. is co-founder with equity and scientific director of AEIOU Scientific, LLC. P.M.C. has received an in-kind grant from GlaxoSmithKline PLC. (doses and assays for D3Cr dilution test). The other authors declare no conflict of interest.
最长约 10秒,即可获得该文献文件

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
sfwrbh完成签到,获得积分10
9秒前
29秒前
神勇友安完成签到,获得积分10
33秒前
cc发布了新的文献求助30
34秒前
37秒前
付海燕完成签到 ,获得积分10
38秒前
科研通AI6.2的应助被cc采纳,获得10
41秒前
机灵发夹完成签到,获得积分10
43秒前
上官若男的应助被咕咕鸟采纳,获得10
1分钟前
1分钟前
咕咕鸟发布了新的文献求助10
1分钟前
赵丫丫完成签到,获得积分20
1分钟前
霸气惜文完成签到,获得积分10
1分钟前
嘻嘻完成签到,获得积分10
1分钟前
螺丝炒钉子完成签到,获得积分10
1分钟前
今后的应助被科研通管家采纳,获得10
1分钟前
1分钟前
Orange的应助被咕咕鸟采纳,获得10
1分钟前
小二郎的应助被洁净雨采纳,获得10
1分钟前
kaifangfeiyao完成签到 ,获得积分20
1分钟前
2分钟前
整齐念薇完成签到,获得积分10
2分钟前
cc发布了新的文献求助10
2分钟前
阳光的翠彤完成签到,获得积分10
2分钟前
欢喜的铭完成签到,获得积分10
2分钟前
2分钟前
情怀的应助被洁净雨采纳,获得10
2分钟前
冷酷紫烟完成签到,获得积分10
2分钟前
阳春发布了新的文献求助10
2分钟前
agnway完成签到,获得积分10
3分钟前
共享精神的应助被阳春采纳,获得10
3分钟前
田様的应助被阳春采纳,获得10
3分钟前
Orange的应助被阳春采纳,获得10
3分钟前
科研通AI6.4的应助被阳春采纳,获得10
3分钟前
彭于晏的应助被阳春采纳,获得10
3分钟前
英俊的铭的应助被阳春采纳,获得10
3分钟前
我是老大的应助被阳春采纳,获得10
3分钟前
大模型的应助被阳春采纳,获得10
3分钟前
小二郎的应助被阳春采纳,获得10
3分钟前
3分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Energie-Contracting 1500
Spec 401: Standards for Jet Fuel Facility and Equipment Commissioning and Flushing at Airports, 2026.1 (Original Issue) 1000
Spec 103: Standard for Jet Fuel Quality Control at Airports, Revision 2026.1 1000
Mathematical models in hydrology 1000
Klimaschutzrecht durch den Energiesektor im Mehrebenensystem – Ein Rechtsvergleich 1000
Introduction to Industrial/Organizational Psychology 800
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8091489
求助须知:如何正确求助?哪些是违规求助? 9503893
关于积分的说明 21437729
捐赠科研通 7663585
什么是DOI,文献DOI怎么找? 3405037
关于科研通互助平台的介绍 2533317
邀请新用户注册赠送积分活动 2443692