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Application of diffusion microstructure imaging in musculoskeletal radiology — translation from head to shoulders

OBJECTIVES: Quantitative MRI techniques, such as diffusion microstructure imaging (DMI), are increasingly applied for advanced tissue characterization. We determined its value in rotator cuff (RC) muscle imaging by studying the association of DMI parameters to isometric strength and fat fraction (FF...

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Autores principales: Rau, Alexander, Jungmann, Pia M., Diallo, Thierno D., Reisert, Marco, Kellner, Elias, Eisenblaetter, Michel, Bamberg, Fabian, Jung, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935724/
https://www.ncbi.nlm.nih.gov/pubmed/36307552
http://dx.doi.org/10.1007/s00330-022-09202-7
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author Rau, Alexander
Jungmann, Pia M.
Diallo, Thierno D.
Reisert, Marco
Kellner, Elias
Eisenblaetter, Michel
Bamberg, Fabian
Jung, Matthias
author_facet Rau, Alexander
Jungmann, Pia M.
Diallo, Thierno D.
Reisert, Marco
Kellner, Elias
Eisenblaetter, Michel
Bamberg, Fabian
Jung, Matthias
author_sort Rau, Alexander
collection PubMed
description OBJECTIVES: Quantitative MRI techniques, such as diffusion microstructure imaging (DMI), are increasingly applied for advanced tissue characterization. We determined its value in rotator cuff (RC) muscle imaging by studying the association of DMI parameters to isometric strength and fat fraction (FF). METHODS: Healthy individuals prospectively underwent 3T-MRI of the shoulder using DMI and chemical shift encoding-based water-fat imaging. RC muscles were segmented and quantitative MRI metrics (V-ISO, free fluid; V-intra, compartment inside of muscle fibers; V-extra, compartment outside of muscle fibers, and FF) were extracted. Isometric shoulder strength was quantified using specific clinical tests. Sex-related differences were assessed with Student’s t. Association of DMI-metrics, FF, and strength was tested. A factorial two-way ANOVA was performed to compare the main effects of sex and external/internal strength-ratio and their interaction effects on quantitative imaging parameters ratios of infraspinatus/subscapularis. RESULTS: Among 22 participants (mean age: 26.7 ± 3.1 years, 50% female, mean BMI: 22.6 ± 1.9 kg/m(2)), FF of the individual RC muscles did not correlate with strength or DMI parameters (all p > 0.05). Subjects with higher V-intra (r = 0.57 to 0.87, p < 0.01) and lower V-ISO (r = −0.6 to −0.88, p < 0.01) had higher internal and external rotation strength. Moreover, V-intra was higher and V-ISO was lower in all RC muscles in males compared to female subjects (all p < 0.01). There was a sex-independent association of external/internal strength-ratio with the ratio of V-extra of infraspinatus/subscapularis (p = 0.02). CONCLUSIONS: Quantitative DMI parameters may provide incremental information about muscular function and microstructure in young athletes and may serve as a potential biomarker. KEY POINTS: • Diffusion microstructure imaging was successfully applied to non-invasively assess the microstructure of rotator cuff muscles in healthy volunteers. • Sex-related differences in the microstructural composition of the rotator cuff were observed. • Muscular microstructural metrics correlated with rotator cuff strength and may serve as an imaging biomarker of muscular integrity and function.
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spelling pubmed-99357242023-02-18 Application of diffusion microstructure imaging in musculoskeletal radiology — translation from head to shoulders Rau, Alexander Jungmann, Pia M. Diallo, Thierno D. Reisert, Marco Kellner, Elias Eisenblaetter, Michel Bamberg, Fabian Jung, Matthias Eur Radiol Musculoskeletal OBJECTIVES: Quantitative MRI techniques, such as diffusion microstructure imaging (DMI), are increasingly applied for advanced tissue characterization. We determined its value in rotator cuff (RC) muscle imaging by studying the association of DMI parameters to isometric strength and fat fraction (FF). METHODS: Healthy individuals prospectively underwent 3T-MRI of the shoulder using DMI and chemical shift encoding-based water-fat imaging. RC muscles were segmented and quantitative MRI metrics (V-ISO, free fluid; V-intra, compartment inside of muscle fibers; V-extra, compartment outside of muscle fibers, and FF) were extracted. Isometric shoulder strength was quantified using specific clinical tests. Sex-related differences were assessed with Student’s t. Association of DMI-metrics, FF, and strength was tested. A factorial two-way ANOVA was performed to compare the main effects of sex and external/internal strength-ratio and their interaction effects on quantitative imaging parameters ratios of infraspinatus/subscapularis. RESULTS: Among 22 participants (mean age: 26.7 ± 3.1 years, 50% female, mean BMI: 22.6 ± 1.9 kg/m(2)), FF of the individual RC muscles did not correlate with strength or DMI parameters (all p > 0.05). Subjects with higher V-intra (r = 0.57 to 0.87, p < 0.01) and lower V-ISO (r = −0.6 to −0.88, p < 0.01) had higher internal and external rotation strength. Moreover, V-intra was higher and V-ISO was lower in all RC muscles in males compared to female subjects (all p < 0.01). There was a sex-independent association of external/internal strength-ratio with the ratio of V-extra of infraspinatus/subscapularis (p = 0.02). CONCLUSIONS: Quantitative DMI parameters may provide incremental information about muscular function and microstructure in young athletes and may serve as a potential biomarker. KEY POINTS: • Diffusion microstructure imaging was successfully applied to non-invasively assess the microstructure of rotator cuff muscles in healthy volunteers. • Sex-related differences in the microstructural composition of the rotator cuff were observed. • Muscular microstructural metrics correlated with rotator cuff strength and may serve as an imaging biomarker of muscular integrity and function. Springer Berlin Heidelberg 2022-10-29 2023 /pmc/articles/PMC9935724/ /pubmed/36307552 http://dx.doi.org/10.1007/s00330-022-09202-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Musculoskeletal
Rau, Alexander
Jungmann, Pia M.
Diallo, Thierno D.
Reisert, Marco
Kellner, Elias
Eisenblaetter, Michel
Bamberg, Fabian
Jung, Matthias
Application of diffusion microstructure imaging in musculoskeletal radiology — translation from head to shoulders
title Application of diffusion microstructure imaging in musculoskeletal radiology — translation from head to shoulders
title_full Application of diffusion microstructure imaging in musculoskeletal radiology — translation from head to shoulders
title_fullStr Application of diffusion microstructure imaging in musculoskeletal radiology — translation from head to shoulders
title_full_unstemmed Application of diffusion microstructure imaging in musculoskeletal radiology — translation from head to shoulders
title_short Application of diffusion microstructure imaging in musculoskeletal radiology — translation from head to shoulders
title_sort application of diffusion microstructure imaging in musculoskeletal radiology — translation from head to shoulders
topic Musculoskeletal
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935724/
https://www.ncbi.nlm.nih.gov/pubmed/36307552
http://dx.doi.org/10.1007/s00330-022-09202-7
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