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Visual versus quantitative analysis of muscle ultrasound in neuromuscular disease

INTRODUCTION/AIMS: Visual and quantitative muscle ultrasound are both valid diagnostic tools in neuromuscular diseases. To optimize muscle ultrasound evaluation and facilitate its use in neuromuscular disease, we examined the correlation between visual and quantitative muscle ultrasound analysis and...

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Autores principales: Wijntjes, Juerd, van der Hoeven, Joris, Saris, Christiaan G. J., Doorduin, Jonne, van Alfen, Nens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545111/
https://www.ncbi.nlm.nih.gov/pubmed/35765226
http://dx.doi.org/10.1002/mus.27669
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author Wijntjes, Juerd
van der Hoeven, Joris
Saris, Christiaan G. J.
Doorduin, Jonne
van Alfen, Nens
author_facet Wijntjes, Juerd
van der Hoeven, Joris
Saris, Christiaan G. J.
Doorduin, Jonne
van Alfen, Nens
author_sort Wijntjes, Juerd
collection PubMed
description INTRODUCTION/AIMS: Visual and quantitative muscle ultrasound are both valid diagnostic tools in neuromuscular diseases. To optimize muscle ultrasound evaluation and facilitate its use in neuromuscular disease, we examined the correlation between visual and quantitative muscle ultrasound analysis and their pitfalls. METHODS: Retrospective data from 994 patients with 13,562 muscle ultrasound images were analyzed. Differences in echogenicity z‐score distribution per Heckmatt grade and corresponding correlation coefficients were calculated. RESULTS: Overall, there was a correlation of 0.60 between the two scoring systems, with a gradual increase in z‐score with increasing Heckmatt grades and vice versa. Patients with a neuromuscular disorder had higher Heckmatt grades (p < 0.001) and z‐scores (median z‐score = 0.30, p < 0.001) than patients without. The highest Heckmatt grades and z‐scores were found in patients with either a dystrophy or inflammatory myopathy (both median Heckmatt grade of 2 and median z score of 0.74 and 1.20, respectively). Discrepant scores were infrequent (<2%), but revealed important pitfalls in both grading systems. DISCUSSION: Visual and quantitative muscle ultrasound are complementary techniques to evaluate neuromuscular disease and have a moderate positive correlation. Importantly, we identified specific pitfalls for visual and quantitative muscle ultrasound and how to overcome them in clinical practice.
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spelling pubmed-95451112022-10-14 Visual versus quantitative analysis of muscle ultrasound in neuromuscular disease Wijntjes, Juerd van der Hoeven, Joris Saris, Christiaan G. J. Doorduin, Jonne van Alfen, Nens Muscle Nerve Clinical Research Articles INTRODUCTION/AIMS: Visual and quantitative muscle ultrasound are both valid diagnostic tools in neuromuscular diseases. To optimize muscle ultrasound evaluation and facilitate its use in neuromuscular disease, we examined the correlation between visual and quantitative muscle ultrasound analysis and their pitfalls. METHODS: Retrospective data from 994 patients with 13,562 muscle ultrasound images were analyzed. Differences in echogenicity z‐score distribution per Heckmatt grade and corresponding correlation coefficients were calculated. RESULTS: Overall, there was a correlation of 0.60 between the two scoring systems, with a gradual increase in z‐score with increasing Heckmatt grades and vice versa. Patients with a neuromuscular disorder had higher Heckmatt grades (p < 0.001) and z‐scores (median z‐score = 0.30, p < 0.001) than patients without. The highest Heckmatt grades and z‐scores were found in patients with either a dystrophy or inflammatory myopathy (both median Heckmatt grade of 2 and median z score of 0.74 and 1.20, respectively). Discrepant scores were infrequent (<2%), but revealed important pitfalls in both grading systems. DISCUSSION: Visual and quantitative muscle ultrasound are complementary techniques to evaluate neuromuscular disease and have a moderate positive correlation. Importantly, we identified specific pitfalls for visual and quantitative muscle ultrasound and how to overcome them in clinical practice. John Wiley & Sons, Inc. 2022-07-16 2022-09 /pmc/articles/PMC9545111/ /pubmed/35765226 http://dx.doi.org/10.1002/mus.27669 Text en © 2022 The Authors. Muscle & Nerve published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Clinical Research Articles
Wijntjes, Juerd
van der Hoeven, Joris
Saris, Christiaan G. J.
Doorduin, Jonne
van Alfen, Nens
Visual versus quantitative analysis of muscle ultrasound in neuromuscular disease
title Visual versus quantitative analysis of muscle ultrasound in neuromuscular disease
title_full Visual versus quantitative analysis of muscle ultrasound in neuromuscular disease
title_fullStr Visual versus quantitative analysis of muscle ultrasound in neuromuscular disease
title_full_unstemmed Visual versus quantitative analysis of muscle ultrasound in neuromuscular disease
title_short Visual versus quantitative analysis of muscle ultrasound in neuromuscular disease
title_sort visual versus quantitative analysis of muscle ultrasound in neuromuscular disease
topic Clinical Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545111/
https://www.ncbi.nlm.nih.gov/pubmed/35765226
http://dx.doi.org/10.1002/mus.27669
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