Literature DB >> 29414408

The utility of motor unit number estimation methods versus quantitative motor unit potential analysis in diagnosis of ALS.

A B Jacobsen1, R S Kristensen1, A Witt1, A G Kristensen2, L Duez1, S Beniczky1, A Fuglsang-Frederiksen1, H Tankisi3.   

Abstract

OBJECTIVE: To compare the diagnostic utility of motor unit number estimation (MUNE) methods to motor unit potential (MUP) analysis in amyotrophic lateral sclerosis (ALS).
METHODS: Twenty-five patients (1 definite, 11 probable, 9 possible ALS and 4 progressive muscular atrophy) and 22 healthy controls were prospectively included. Quantitative MUP analysis and three MUNE methods; Multiple Point Stimulation MUNE (MPS), Motor Unit Number Index (MUNIX) and MScanFit MUNE (MScan) were done in abductor pollicis brevis muscle. The sensitivities were compared by McNemar chi-square test. MUNE, MUP and revised ALS Functional Rating Scale (ALSFRS-R) parameters were correlated by regression analysis.
RESULTS: The sensitivities of MPS (76%) and MScan (68%) were higher than MUP duration (36%) and amplitude (40%) in detecting motor unit loss (p < 0.05). MUNE methods increased the categorical probability from possible to probable ALS in 4 patients (16%). There was only significant correlation between ALSFRS-R and MScan (r = 0.443, p = 0.027) among the electrophysiological tests. MUNE methods did not correlate to MUP parameters.
CONCLUSIONS: MUNE methods are more sensitive in showing abnormality than MUP analysis. SIGNIFICANCE: MUNE methods, in particular MScan, may have the potential to be implemented in the clinical practice for diagnosis and follow-up of neuromuscular disorders particularly ALS.
Copyright © 2018 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Amyotrophic lateral sclerosis; MScanFit; Motor unit number estimation; Motor unit potential analysis

Mesh:

Year:  2018        PMID: 29414408     DOI: 10.1016/j.clinph.2018.01.002

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  5 in total

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  5 in total

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