Literature DB >> 24929900

Optimizing electrical impedance myography measurements by using a multifrequency ratio: a study in Duchenne muscular dystrophy.

Stefan Schwartz1, Tom R Geisbush1, Aleksandar Mijailovic1, Amy Pasternak2, Basil T Darras2, Seward B Rutkove3.   

Abstract

OBJECTIVE: Electrical impedance myography (EIM) is an electrophysiological technique for neuromuscular evaluation that is impacted by subcutaneous fat (SF). Exploiting the differing frequency dependences of muscle and fat, we assessed a 2-frequency EIM phase ratio in Duchenne muscular dystrophy (DMD) boys.
METHODS: Twenty-eight DMD boys aged 2-13years underwent EIM and the 6-minute walk test (6MWT). For each subject, 50kHz phase data was input into the numerator while 20-500kHz phase values were input into the denominator. We then performed correlation analyses seeking to identify the denominator frequency that simultaneously optimized SF and 6MWT correlations. This optimized ratio was then tested in 24 healthy boys.
RESULTS: 50kHz phase correlated to 6MWT in DMD boys with R=0.52, p=0.0066, and to SF thickness with R=-0.67, p<0.001. An optimized ratio of 50/200kHz phase reduced the correlation of SF thickness to R=-0.075, p=0.45 while improving the relationship to the 6MWT (R=0.60, p=0.001). In normal subjects, the optimization decreased SF correlation from R=0.61 from R=0.16 with 6MWT correlation remaining unchanged.
CONCLUSIONS: The 50/200kHz EIM phase ratio removes the impact of SF while maintaining EIM's association with function. SIGNIFICANCE: The use of a phase ratio may enhance EIM's application for evaluation of neuromuscular disease.
Copyright © 2014 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Duchenne muscular dystrophy; Electrical impedance myography; Functional measures; Optimization; Subcutaneous fat

Mesh:

Year:  2014        PMID: 24929900      PMCID: PMC4234696          DOI: 10.1016/j.clinph.2014.05.007

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


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