Muscle ultrasonography in detecting fasciculations: A noninvasive diagnostic tool for amyotrophic lateral sclerosis

束状 医学 肌萎缩侧索硬化 肌电图 肱二头肌 解剖 内科学 物理医学与康复 疾病
作者
Rahul Reddy Rajula,Jitender Saini,Gopikrishnan Unnikrishnan,Seena Vengalil,Saraswati Nashi,Mainak Bardhan,Akshata Huddar,Tanushree Chawla,Dodmalur Malikarjuna Sindhu,Valakunja Harikrishna Ganaraja,Kiran Polavarapu,Veeramani Preethish‐Kumar,Kandavel Thennarasu,Atchayaram Nalini
出处
期刊:Journal of Clinical Ultrasound [Wiley]
卷期号:50 (2): 286-291 被引量:3
标识
DOI:10.1002/jcu.23084
摘要

Muscle ultrasound (MUS) is an emerging noninvasive tool to identify fasciculations in amyotrophic lateral sclerosis (ALS). We assessed the utility of MUS in detecting fasciculations in suspected ALS patients.Thirty-three patients (25 men) with possible (n = 7), probable (n = 12), or definite ALS according to Awaji criteria were studied. Electromyography was done in biceps brachii, quadriceps, and thoracic paraspinal muscles and MUS in biceps, triceps, deltoid, abductor-digiti-minimi, quadriceps, hamstrings, tibialis anterior, thoracic paraspinal, and tongue muscles.The age at onset and illness duration was 49.73 ± 12.7 years and 13.57 ± 9.7 months, respectively. Limb-onset = 24 patients (72.7%) and bulbar-onset = 9 (27.3%). Totally 561 muscles were examined by MUS. Fasciculations were detected in 84.3% of muscles, 98.4% with and 73% without clinical fasciculations (p < 0.001). Fasciculation detection rate (FDR) by MUS was significantly higher in muscles with wasting (95.6%) than without wasting (77.6%, p < 0.001). Compared with EMG, FDR was significantly higher with MUS in quadriceps (81.8% vs. 51.5%, p = 0.002) and thoracic paraspinal muscles (75.8% vs. 42.4%, p = 0.013). The proportion of patients with definite ALS increased from 42% by clinical examination to 70% after combining EMG and MUS findings.MUS is more sensitive in detecting fasciculations than electromyography (EMG) and provides a safer, faster, painless, and noninvasive alternative to EMG in detecting fasciculations in ALS.

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
科研通AI6.1应助111采纳,获得10
刚刚
景三完成签到,获得积分10
1秒前
lwz发布了新的文献求助10
2秒前
lyx发布了新的文献求助10
2秒前
red发布了新的文献求助10
3秒前
Merc0ry完成签到,获得积分10
3秒前
ZDCin13发布了新的文献求助10
3秒前
3秒前
王佳慧发布了新的文献求助10
4秒前
闫HH发布了新的文献求助10
4秒前
科研通AI6.1应助芋头采纳,获得10
4秒前
小怪兽发布了新的文献求助10
5秒前
默mo完成签到 ,获得积分10
6秒前
ShiWuCai完成签到 ,获得积分10
7秒前
lin发布了新的文献求助10
7秒前
Zhoup发布了新的文献求助10
8秒前
传奇3应助一会加好友采纳,获得10
8秒前
麒麟完成签到,获得积分20
8秒前
bkagyin应助purist采纳,获得30
8秒前
Tiki完成签到,获得积分10
10秒前
酷波er应助echo采纳,获得10
10秒前
tiptip应助abc采纳,获得10
11秒前
11秒前
tjx发布了新的文献求助10
12秒前
Sid关闭了Sid文献求助
12秒前
dde应助麻师长采纳,获得100
13秒前
liming发布了新的文献求助10
13秒前
ZDCin13完成签到,获得积分20
14秒前
14秒前
16秒前
友友发布了新的文献求助10
16秒前
17秒前
Ava应助lyx采纳,获得10
17秒前
闫小天天完成签到,获得积分10
18秒前
精明的宛完成签到 ,获得积分10
18秒前
19秒前
19秒前
19秒前
lilili发布了新的文献求助30
19秒前
1733发布了新的文献求助10
21秒前
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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Fundamentals of Strain Psychology 800
The SAGE Dictionary of Qualitative Inquiry 610
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
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 6343555
求助须知:如何正确求助?哪些是违规求助? 8158617
关于积分的说明 17152677
捐赠科研通 5399914
什么是DOI,文献DOI怎么找? 2860070
邀请新用户注册赠送积分活动 1838111
关于科研通互助平台的介绍 1687782