Comparative assessment of MScanFit MUNE and quantitative EMG in amyotrophic lateral sclerosis diagnosis: A prospective study.

Autor: Vacchiano V; UOC Clinica Neurologica, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy; Centro Clinico NeMO, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy. Electronic address: veria.vacchiano@ausl.bologna.it., Di Stasi V; UOC Clinica Neurologica, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy., Teodorani L; Dipartimento di Scienze Biomediche e Neuromotorie, University of Bologna, Bologna, Italy., Faini C; Dipartimento di Scienze Biomediche e Neuromotorie, University of Bologna, Bologna, Italy., Morabito F; UOC Clinica Neurologica, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy., Liguori R; UOC Clinica Neurologica, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy; Centro Clinico NeMO, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy; Dipartimento di Scienze Biomediche e Neuromotorie, University of Bologna, Bologna, Italy.
Jazyk: angličtina
Zdroj: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology [Clin Neurophysiol] 2024 Oct; Vol. 166, pp. 66-73. Date of Electronic Publication: 2024 Aug 02.
DOI: 10.1016/j.clinph.2024.07.017
Abstrakt: Objective: Motor Unit Number Estimation (MUNE) techniques are crucial in assessing lower motor neuron loss. MScanFit MUNE (MScanFit) is a novel tool which estimates MUNE values from compound muscle action potential (CMAP) scans by considering the probabilistic nature of motor unit firing. We conducted a prospective study to evaluate the diagnostic utility of MScanFit compared to quantitative electromyography (qEMG) in ALS patients.
Methods: We enrolled 35 patients diagnosed with amyotrophic lateral sclerosis (ALS) and 14 healthy controls, assessing qEMG and MScanFit MUNE in abductor pollicis brevis, abductor digiti minimi and tibialis anterior muscles.
Results: We found higher sensitivity of qEMG in detecting abnormalities compared to MScanFit, with a high concordance rate between the two techniques. Notably, a few muscles exhibited abnormal MUNE but normal qEMG findings, suggesting a potential complementary role for MScanFit in ALS diagnosis. Neurophysiological parameters from MScanFit showed good correlations with qEMG measures. Subclinical neurophysiological involvement was observed in muscles with normal strength, emphasizing the importance of sensitive diagnostic tools.
Conclusion: MScanFit demonstrated validity in distinguishing ALS patients from healthy subjects and correlated well with qEMG parameters.
Significance: Our study confirmed the diagnostic utility of MScanFit MUNE in ALS, highlighting its role as a supplementary diagnostic tool.
(Copyright © 2024 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
Externí odkaz: