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Surface wave elastography is a reliable method to correlate muscle elasticity, torque, and electromyography activity level
The shear elastic modulus is one of the most important parameters to characterize the mechanical behavior of soft tissues. In biomechanics, ultrasound elastography is the gold standard for measuring and mapping it locally in skeletal muscle in vivo. However, their applications are limited to the lab...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8326893/ https://www.ncbi.nlm.nih.gov/pubmed/34337894 http://dx.doi.org/10.14814/phy2.14955 |
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author | Grinspan, Gustavo A. Cabral, Hélio V. de Souza, Leonardo M. L. de Oliveira, Liliam F. Aguiar, Sofía Blanco, Ernesto Benech, Nicolás |
author_facet | Grinspan, Gustavo A. Cabral, Hélio V. de Souza, Leonardo M. L. de Oliveira, Liliam F. Aguiar, Sofía Blanco, Ernesto Benech, Nicolás |
author_sort | Grinspan, Gustavo A. |
collection | PubMed |
description | The shear elastic modulus is one of the most important parameters to characterize the mechanical behavior of soft tissues. In biomechanics, ultrasound elastography is the gold standard for measuring and mapping it locally in skeletal muscle in vivo. However, their applications are limited to the laboratory or clinic. Thus, low‐frequency elastography methods have recently emerged as a novel alternative to ultrasound elastography. Avoiding the use of high frequencies, these methods allow obtaining a mean value of bulk shear elasticity. However, they are frequently susceptible to diffraction, guided waves, and near field effects, which introduces biases in the estimates. The goal of this work is to test the performance of the non‐ultrasound surface wave elastography (NU‐SWE), which is portable and is based on new algorithms designed to correct the incidence of such effects. Thus, we show its first application to muscle biomechanics. We performed two experiments to assess the relationships of muscle shear elasticity versus joint torque (experiment 1) and the electromyographic activity level (experiment 2). Our results were comparable regarding previous works using the reference ultrasonic methods. Thus, the NU‐SWE showed its potentiality to get wide the biomechanical applications of elastography in many areas of health and sports sciences. |
format | Online Article Text |
id | pubmed-8326893 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83268932021-08-06 Surface wave elastography is a reliable method to correlate muscle elasticity, torque, and electromyography activity level Grinspan, Gustavo A. Cabral, Hélio V. de Souza, Leonardo M. L. de Oliveira, Liliam F. Aguiar, Sofía Blanco, Ernesto Benech, Nicolás Physiol Rep Original Articles The shear elastic modulus is one of the most important parameters to characterize the mechanical behavior of soft tissues. In biomechanics, ultrasound elastography is the gold standard for measuring and mapping it locally in skeletal muscle in vivo. However, their applications are limited to the laboratory or clinic. Thus, low‐frequency elastography methods have recently emerged as a novel alternative to ultrasound elastography. Avoiding the use of high frequencies, these methods allow obtaining a mean value of bulk shear elasticity. However, they are frequently susceptible to diffraction, guided waves, and near field effects, which introduces biases in the estimates. The goal of this work is to test the performance of the non‐ultrasound surface wave elastography (NU‐SWE), which is portable and is based on new algorithms designed to correct the incidence of such effects. Thus, we show its first application to muscle biomechanics. We performed two experiments to assess the relationships of muscle shear elasticity versus joint torque (experiment 1) and the electromyographic activity level (experiment 2). Our results were comparable regarding previous works using the reference ultrasonic methods. Thus, the NU‐SWE showed its potentiality to get wide the biomechanical applications of elastography in many areas of health and sports sciences. John Wiley and Sons Inc. 2021-08-02 /pmc/articles/PMC8326893/ /pubmed/34337894 http://dx.doi.org/10.14814/phy2.14955 Text en © 2021 The Authors. Physiological Reports published by Wiley Periodicals LLC on behalf of The Physiological Society and the American Physiological Society https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Grinspan, Gustavo A. Cabral, Hélio V. de Souza, Leonardo M. L. de Oliveira, Liliam F. Aguiar, Sofía Blanco, Ernesto Benech, Nicolás Surface wave elastography is a reliable method to correlate muscle elasticity, torque, and electromyography activity level |
title | Surface wave elastography is a reliable method to correlate muscle elasticity, torque, and electromyography activity level |
title_full | Surface wave elastography is a reliable method to correlate muscle elasticity, torque, and electromyography activity level |
title_fullStr | Surface wave elastography is a reliable method to correlate muscle elasticity, torque, and electromyography activity level |
title_full_unstemmed | Surface wave elastography is a reliable method to correlate muscle elasticity, torque, and electromyography activity level |
title_short | Surface wave elastography is a reliable method to correlate muscle elasticity, torque, and electromyography activity level |
title_sort | surface wave elastography is a reliable method to correlate muscle elasticity, torque, and electromyography activity level |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8326893/ https://www.ncbi.nlm.nih.gov/pubmed/34337894 http://dx.doi.org/10.14814/phy2.14955 |
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