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Associations of thigh muscle fat infiltration with isometric strength measurements based on chemical shift encoding-based water-fat magnetic resonance imaging

BACKGROUND: Assessment of the thigh muscle fat composition using magnetic resonance imaging (MRI) can provide surrogate markers in subjects suffering from various musculoskeletal disorders including knee osteoarthritis or neuromuscular diseases. However, little is known about the relationship with m...

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Autores principales: Inhuber, Stephanie, Sollmann, Nico, Schlaeger, Sarah, Dieckmeyer, Michael, Burian, Egon, Kohlmeyer, Caroline, Karampinos, Dimitrios C., Kirschke, Jan S., Baum, Thomas, Kreuzpointner, Florian, Schwirtz, Ansgar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6868073/
https://www.ncbi.nlm.nih.gov/pubmed/31748839
http://dx.doi.org/10.1186/s41747-019-0123-4
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author Inhuber, Stephanie
Sollmann, Nico
Schlaeger, Sarah
Dieckmeyer, Michael
Burian, Egon
Kohlmeyer, Caroline
Karampinos, Dimitrios C.
Kirschke, Jan S.
Baum, Thomas
Kreuzpointner, Florian
Schwirtz, Ansgar
author_facet Inhuber, Stephanie
Sollmann, Nico
Schlaeger, Sarah
Dieckmeyer, Michael
Burian, Egon
Kohlmeyer, Caroline
Karampinos, Dimitrios C.
Kirschke, Jan S.
Baum, Thomas
Kreuzpointner, Florian
Schwirtz, Ansgar
author_sort Inhuber, Stephanie
collection PubMed
description BACKGROUND: Assessment of the thigh muscle fat composition using magnetic resonance imaging (MRI) can provide surrogate markers in subjects suffering from various musculoskeletal disorders including knee osteoarthritis or neuromuscular diseases. However, little is known about the relationship with muscle strength. Therefore, we investigated the associations of thigh muscle fat with isometric strength measurements. METHODS: Twenty healthy subjects (10 females; median age 27 years, range 22–41 years) underwent chemical shift encoding-based water-fat MRI, followed by bilateral extraction of the proton density fat fraction (PDFF) and calculation of relative cross-sectional area (relCSA) of quadriceps and ischiocrural muscles. Relative maximum voluntary isometric contraction (relMVIC) in knee extension and flexion was measured with a rotational dynamometer. Correlations between PDFF, relCSA, and relMVIC were evaluated, and multivariate regression was applied to identify significant predictors of muscle strength. RESULTS: Significant correlations between the PDFF and relMVIC were observed for quadriceps and ischiocrural muscles bilaterally (p = 0.001 to 0.049). PDFF, but not relCSA, was a statistically significant (p = 0.001 to 0.049) predictor of relMVIC in multivariate regression models, except for left-sided relMVIC in extension. In this case, PDFF (p = 0.005) and relCSA (p = 0.015) of quadriceps muscles significantly contributed to the statistical model with R(2)(adj) = 0.548. CONCLUSION: Chemical shift encoding-based water-fat MRI could detect changes in muscle composition by quantifying muscular fat that correlates well with both extensor and flexor relMVIC of the thigh. Our results help to initiate early, individualised treatments to maintain or improve muscle function in subjects who do not or not yet show pathological fatty muscle infiltration.
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spelling pubmed-68680732019-12-05 Associations of thigh muscle fat infiltration with isometric strength measurements based on chemical shift encoding-based water-fat magnetic resonance imaging Inhuber, Stephanie Sollmann, Nico Schlaeger, Sarah Dieckmeyer, Michael Burian, Egon Kohlmeyer, Caroline Karampinos, Dimitrios C. Kirschke, Jan S. Baum, Thomas Kreuzpointner, Florian Schwirtz, Ansgar Eur Radiol Exp Original Article BACKGROUND: Assessment of the thigh muscle fat composition using magnetic resonance imaging (MRI) can provide surrogate markers in subjects suffering from various musculoskeletal disorders including knee osteoarthritis or neuromuscular diseases. However, little is known about the relationship with muscle strength. Therefore, we investigated the associations of thigh muscle fat with isometric strength measurements. METHODS: Twenty healthy subjects (10 females; median age 27 years, range 22–41 years) underwent chemical shift encoding-based water-fat MRI, followed by bilateral extraction of the proton density fat fraction (PDFF) and calculation of relative cross-sectional area (relCSA) of quadriceps and ischiocrural muscles. Relative maximum voluntary isometric contraction (relMVIC) in knee extension and flexion was measured with a rotational dynamometer. Correlations between PDFF, relCSA, and relMVIC were evaluated, and multivariate regression was applied to identify significant predictors of muscle strength. RESULTS: Significant correlations between the PDFF and relMVIC were observed for quadriceps and ischiocrural muscles bilaterally (p = 0.001 to 0.049). PDFF, but not relCSA, was a statistically significant (p = 0.001 to 0.049) predictor of relMVIC in multivariate regression models, except for left-sided relMVIC in extension. In this case, PDFF (p = 0.005) and relCSA (p = 0.015) of quadriceps muscles significantly contributed to the statistical model with R(2)(adj) = 0.548. CONCLUSION: Chemical shift encoding-based water-fat MRI could detect changes in muscle composition by quantifying muscular fat that correlates well with both extensor and flexor relMVIC of the thigh. Our results help to initiate early, individualised treatments to maintain or improve muscle function in subjects who do not or not yet show pathological fatty muscle infiltration. Springer International Publishing 2019-11-20 /pmc/articles/PMC6868073/ /pubmed/31748839 http://dx.doi.org/10.1186/s41747-019-0123-4 Text en © The Author(s) 2019, corrected publication 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Inhuber, Stephanie
Sollmann, Nico
Schlaeger, Sarah
Dieckmeyer, Michael
Burian, Egon
Kohlmeyer, Caroline
Karampinos, Dimitrios C.
Kirschke, Jan S.
Baum, Thomas
Kreuzpointner, Florian
Schwirtz, Ansgar
Associations of thigh muscle fat infiltration with isometric strength measurements based on chemical shift encoding-based water-fat magnetic resonance imaging
title Associations of thigh muscle fat infiltration with isometric strength measurements based on chemical shift encoding-based water-fat magnetic resonance imaging
title_full Associations of thigh muscle fat infiltration with isometric strength measurements based on chemical shift encoding-based water-fat magnetic resonance imaging
title_fullStr Associations of thigh muscle fat infiltration with isometric strength measurements based on chemical shift encoding-based water-fat magnetic resonance imaging
title_full_unstemmed Associations of thigh muscle fat infiltration with isometric strength measurements based on chemical shift encoding-based water-fat magnetic resonance imaging
title_short Associations of thigh muscle fat infiltration with isometric strength measurements based on chemical shift encoding-based water-fat magnetic resonance imaging
title_sort associations of thigh muscle fat infiltration with isometric strength measurements based on chemical shift encoding-based water-fat magnetic resonance imaging
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6868073/
https://www.ncbi.nlm.nih.gov/pubmed/31748839
http://dx.doi.org/10.1186/s41747-019-0123-4
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