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Split-hand phenomenon in motor neuron diseases: Sonographic assesment of muscle thickness
- Source :
- Clinical Neurophysiology. 131:1721-1725
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Objective To explore the diagnostic accuracy of the split-hand index (SHI) for amyotrophic lateral sclerosis (ALS) and spinal muscular atrophy (SMA) using sonographic assessment of muscle thickness. Methods We performed a prospective sonographic assessment of hand muscle thickness in 59 controls, 87 patients with ALS, and 33 patients with SMA. We determined the diagnostic accuracy of SHI for differentiating patients with ALS and SMA from controls. Results Patients with ALS and SMA had significantly lower muscle thickness and SHI values compared with controls. SHI showed excellent diagnostic accuracy for differentiating ALS from controls, and good diagnostic accuracy for differentiating SMA from controls. Conclusions SHI determined by sonographic measurement of hand muscle thickness seems to be a promising tool for the diagnosis of ALS and may be added easily when performing neuromuscular ultrasound. Significance SHI determined by sonographic measurement of hand muscle thickness can differentiate between healthy subjects and patients with ALS and SMA.
- Subjects :
- Adult
Male
medicine.medical_specialty
Diagnostic accuracy
Sensitivity and Specificity
050105 experimental psychology
Neuromuscular ultrasound
Muscular Atrophy, Spinal
03 medical and health sciences
0302 clinical medicine
Physiology (medical)
medicine
Humans
0501 psychology and cognitive sciences
Prospective Studies
Amyotrophic lateral sclerosis
Muscle, Skeletal
Aged
Ultrasonography
Hand muscles
business.industry
Amyotrophic Lateral Sclerosis
fungi
05 social sciences
Healthy subjects
Spinal muscular atrophy
Middle Aged
Motor neuron
Hand
medicine.disease
SMA
Sensory Systems
medicine.anatomical_structure
Neurology
Female
Neurology (clinical)
Radiology
business
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 13882457
- Volume :
- 131
- Database :
- OpenAIRE
- Journal :
- Clinical Neurophysiology
- Accession number :
- edsair.doi.dedup.....3579f95a512656a9dca326f66568cd5c