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Using magnetic resonance imaging to map the hidden burden of muscle involvement in systemic sclerosis

BACKGROUND: Skeletal muscle can be directly affected by systemic sclerosis (SSc); however, a significant burden of SSc-associated myopathy is undetected because clinical parameters such as weakness and creatine kinase (CK) are unreliable biomarkers of muscle involvement. This study presents qualitat...

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Autores principales: Ross, Laura, Lindqvist, Anniina, Costello, Benedict, Hansen, Dylan, Brown, Zoe, Day, Jessica A., Stevens, Wendy, Burns, Andrew, Perera, Warren, Pianta, Marcus, La Gerche, André, Nikpour, Mandana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8996589/
https://www.ncbi.nlm.nih.gov/pubmed/35410246
http://dx.doi.org/10.1186/s13075-022-02768-z
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author Ross, Laura
Lindqvist, Anniina
Costello, Benedict
Hansen, Dylan
Brown, Zoe
Day, Jessica A.
Stevens, Wendy
Burns, Andrew
Perera, Warren
Pianta, Marcus
La Gerche, André
Nikpour, Mandana
author_facet Ross, Laura
Lindqvist, Anniina
Costello, Benedict
Hansen, Dylan
Brown, Zoe
Day, Jessica A.
Stevens, Wendy
Burns, Andrew
Perera, Warren
Pianta, Marcus
La Gerche, André
Nikpour, Mandana
author_sort Ross, Laura
collection PubMed
description BACKGROUND: Skeletal muscle can be directly affected by systemic sclerosis (SSc); however, a significant burden of SSc-associated myopathy is undetected because clinical parameters such as weakness and creatine kinase (CK) are unreliable biomarkers of muscle involvement. This study presents qualitative and quantitative magnetic resonance imaging (MRI) findings that quantify the prevalence of myopathy and evaluate any association between skeletal and cardiac muscle involvement in SSc. METHODS: Thirty-two patients with SSc who fulfilled the 2013 American College of Rheumatology/European League Against Rheumatism classification criteria underwent skeletal muscle MRI in addition to cardiac MRI. Skeletal muscles were independently assessed by two musculoskeletal radiologists for evidence of oedema, fatty infiltration and atrophy. Skeletal muscle T2 mapping times and percentage fat fraction were calculated. Linear regression analysis was used to evaluate the clinical and myocardial associations with skeletal muscle oedema and fatty infiltration. Cardiac MRI was performed using post gadolinium contrast imaging and parametric mapping techniques to assess focal and diffuse myocardial fibrosis. RESULTS: Thirteen participants (40.6%) had MRI evidence of skeletal muscle oedema. Five (15.6%) participants had fatty infiltration. There was no association between skeletal muscle oedema and muscle strength, creatine kinase, inflammatory markers or fibroinflammatory myocardial disease. Patients with skeletal muscle oedema had higher T2-mapping times; there was a significant association between subjective assessments of muscle oedema and T2-mapping time (coef 2.46, p = 0.02) and percentage fat fraction (coef 3.41, p = 0.02). Diffuse myocardial fibrosis was a near-universal finding, and one third of patients had focal myocardial fibrosis. There was no association between skeletal myopathy detected by MRI and burden of myocardial disease. CONCLUSIONS: MRI is a sensitive measure of muscle oedema and systematic assessment of SSc patients using MRI shows that myopathy is highly prevalent, even in patients without symptoms or other signs of muscle involvement. Similarly, cardiac fibrosis is highly prevalent but occurs independently of skeletal muscle changes. These results indicate that novel quantitative MRI techniques may be useful for assessing sub-clinical skeletal muscle disease in SSc.
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spelling pubmed-89965892022-04-12 Using magnetic resonance imaging to map the hidden burden of muscle involvement in systemic sclerosis Ross, Laura Lindqvist, Anniina Costello, Benedict Hansen, Dylan Brown, Zoe Day, Jessica A. Stevens, Wendy Burns, Andrew Perera, Warren Pianta, Marcus La Gerche, André Nikpour, Mandana Arthritis Res Ther Research BACKGROUND: Skeletal muscle can be directly affected by systemic sclerosis (SSc); however, a significant burden of SSc-associated myopathy is undetected because clinical parameters such as weakness and creatine kinase (CK) are unreliable biomarkers of muscle involvement. This study presents qualitative and quantitative magnetic resonance imaging (MRI) findings that quantify the prevalence of myopathy and evaluate any association between skeletal and cardiac muscle involvement in SSc. METHODS: Thirty-two patients with SSc who fulfilled the 2013 American College of Rheumatology/European League Against Rheumatism classification criteria underwent skeletal muscle MRI in addition to cardiac MRI. Skeletal muscles were independently assessed by two musculoskeletal radiologists for evidence of oedema, fatty infiltration and atrophy. Skeletal muscle T2 mapping times and percentage fat fraction were calculated. Linear regression analysis was used to evaluate the clinical and myocardial associations with skeletal muscle oedema and fatty infiltration. Cardiac MRI was performed using post gadolinium contrast imaging and parametric mapping techniques to assess focal and diffuse myocardial fibrosis. RESULTS: Thirteen participants (40.6%) had MRI evidence of skeletal muscle oedema. Five (15.6%) participants had fatty infiltration. There was no association between skeletal muscle oedema and muscle strength, creatine kinase, inflammatory markers or fibroinflammatory myocardial disease. Patients with skeletal muscle oedema had higher T2-mapping times; there was a significant association between subjective assessments of muscle oedema and T2-mapping time (coef 2.46, p = 0.02) and percentage fat fraction (coef 3.41, p = 0.02). Diffuse myocardial fibrosis was a near-universal finding, and one third of patients had focal myocardial fibrosis. There was no association between skeletal myopathy detected by MRI and burden of myocardial disease. CONCLUSIONS: MRI is a sensitive measure of muscle oedema and systematic assessment of SSc patients using MRI shows that myopathy is highly prevalent, even in patients without symptoms or other signs of muscle involvement. Similarly, cardiac fibrosis is highly prevalent but occurs independently of skeletal muscle changes. These results indicate that novel quantitative MRI techniques may be useful for assessing sub-clinical skeletal muscle disease in SSc. BioMed Central 2022-04-11 2022 /pmc/articles/PMC8996589/ /pubmed/35410246 http://dx.doi.org/10.1186/s13075-022-02768-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ross, Laura
Lindqvist, Anniina
Costello, Benedict
Hansen, Dylan
Brown, Zoe
Day, Jessica A.
Stevens, Wendy
Burns, Andrew
Perera, Warren
Pianta, Marcus
La Gerche, André
Nikpour, Mandana
Using magnetic resonance imaging to map the hidden burden of muscle involvement in systemic sclerosis
title Using magnetic resonance imaging to map the hidden burden of muscle involvement in systemic sclerosis
title_full Using magnetic resonance imaging to map the hidden burden of muscle involvement in systemic sclerosis
title_fullStr Using magnetic resonance imaging to map the hidden burden of muscle involvement in systemic sclerosis
title_full_unstemmed Using magnetic resonance imaging to map the hidden burden of muscle involvement in systemic sclerosis
title_short Using magnetic resonance imaging to map the hidden burden of muscle involvement in systemic sclerosis
title_sort using magnetic resonance imaging to map the hidden burden of muscle involvement in systemic sclerosis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8996589/
https://www.ncbi.nlm.nih.gov/pubmed/35410246
http://dx.doi.org/10.1186/s13075-022-02768-z
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