Abstract

Background

Motor neuron disease is a heterogeneous group of progressive neurodegenerative disorders, most common of which is amyotrophic lateral sclerosis (ALS). There are many clinical and radiological criteria to diagnose amyotrophic lateral sclerosis and to differentiate it from other motor neuron disease and neurodegenerative disorders. Neuro-sonography is one of the easily applied tools to diagnose and differentiate ALS. ALS diagnosis is delayed up to 3 years according to some authors due to the wide differential diagnosis, with cervical degeneration being a common misdiagnosis. The objective of this study was to evaluate the role of neuro-sonography in diagnosis and differentiation of amyotrophic lateral sclerosis from other causes of progressive mixed upper and lower motor neuron lesion.

Results

A total neuro-sonography score at a cut-off point (≤ 127) predicted patients with ALS, with good (85%) accuracy, sensitivity = 73% and specificity = 83% (p < 0.01) and Lt median arm score at a cut-off point (≤ 6) predicted patients with ALS, with good (88%) accuracy, sensitivity = 86% and specificity = 86% (p < 0.01) and the median nerve at the arm level was the most sensitive and specific nerve to predict patients with ALS.

Conclusion

Neuro-sonography of peripheral nerves is a recent, noninvasive, accessible technique that can be used in early diagnosis of ALS.

Details

Title
Role of neuro-sonography of peripheral nerves as a diagnostic and a differentiation tool of amyotrophic lateral sclerosis
Author
Mohamed Rana Zakaria Ahmed 1 ; Salem, Haitham Hamdy 1 ; Sakr Hossam Moussa El-Sayed 2 ; Afifi Hossam-Eldin Mahmoud 1 ; Elsadek Ahmed Mohammed 1 ; Fahmy, Nagia Aly 1 

 Ain Shams University, Neurology and Psychiatry Department, Neuromuscular Unit, Cairo, Egypt (GRID:grid.7269.a) (ISNI:0000 0004 0621 1570) 
 Ain Shams University, Radiology Department, Cairo, Egypt (GRID:grid.7269.a) (ISNI:0000 0004 0621 1570) 
Publication year
2021
Publication date
Dec 2021
Publisher
Springer Nature B.V.
ISSN
11101083
e-ISSN
16878329
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2593954579
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.