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      Quantitative muscle MRI and ultrasound for facioscapulohumeral muscular dystrophy: complementary imaging biomarkers

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          Abstract

          Objective

          To assess the overlap of and differences between quantitative muscle MRI and ultrasound in characterizing structural changes in leg muscles of facioscapulohumeral muscular dystrophy (FSHD) patients.

          Methods

          We performed quantitative MRI and quantitative ultrasound of ten leg muscles in 27 FSHD patients and assessed images, both quantitatively and visually, for fatty infiltration, fibrosis and edema.

          Results

          The MRI fat fraction and ultrasound echogenicity z-score correlated strongly (CC 0.865, p < 0.05) and both correlated with clinical severity (MRI CC 0.828, ultrasound CC 0.767, p < 0.001). Ultrasound detected changes in muscle architecture in muscles that looked normal on MRI. MRI was better in detecting late stages of fatty infiltration and was more suitable to assess muscle edema. Correlations between quantitative and semi-quantitative scores were strong for MRI (CC 0.844–0.982, p < 0.05), and varied for ultrasound (CC 0.427–0.809, p = 0.026– p < 0.001).

          Conclusions

          Quantitative muscle MRI and ultrasound are both promising imaging biomarkers for differentiating between degrees of structural muscle changes. As ultrasound is more sensitive to detect subtle structural changes and MRI is more accurate in end stage muscles and detecting edema, the techniques are complementary. Hence, the choice for a particular technique should be considered in light of the trial design.

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          Most cited references34

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Age-related changes in total and regional fat distribution.

            Aging is associated with progressive changes in total and regional fat distribution that have negative health consequences. Indeed, a preferential increase in abdominal fat, in particular visceral fat, combined with a decrease in lower body subcutaneous fat are commonly cited in the literature. These age-related changes in body composition can occur independent of changes in total adiposity, body weight or waist circumference, and represent a phenotype closely associated with increased morbidity and mortality risk. Tissues such as the heart, liver and skeletal muscle in the elderly have increased fat deposition, which increases risk for insulin resistance and cardiovascular disease. Furthermore, aging is associated with increased fat content within bone marrow, which exposes the elderly to fracture risk beyond that associated with low bone mineral density alone. Many of the age-associated body compositional changes cannot be detected by simple anthropometric measures alone, and the influence of gender, race or ethnicity, and physical activity patterns on these changes is unclear. This review will explore some of these age-related changes in total and regional fat distribution. Consideration will also be given to the strengths and limitations associated with some of the anthropometric methodologies employed for assessing these changes.
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              Skeletal muscle ultrasound: correlation between fibrous tissue and echo intensity.

              In this study, we examined the correlation between muscle ultrasound and muscle structure. Echo intensity (EI) of 14 muscles of two golden retriever muscular dystrophy dogs was correlated to the percentage interstitial fibrous tissue and fat in muscle biopsy. A significant correlation between interstitial fibrous tissue and EI was found (r = 0.87; p < 0.001). The separate influence of interstitial fat on muscle EI could not be established as only little fat was present. We conclude that fibrous tissue causes increased muscle EI. The high correlation between interstitial fibrous tissue and EI makes ultrasound a reliable method to determine severity of structural muscle changes.
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                Author and article information

                Contributors
                +31-(0)24-3616600 , karlien.mul@radboudumc.nl
                Journal
                J Neurol
                J. Neurol
                Journal of Neurology
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0340-5354
                1432-1459
                6 September 2018
                6 September 2018
                2018
                : 265
                : 11
                : 2646-2655
                Affiliations
                ISNI 0000 0004 0444 9382, GRID grid.10417.33, Department of Neurology and Clinical Neurophysiology, , Radboud University Medical Center, ; PO Box 9101, 6500 HB Nijmegen, The Netherlands
                Author information
                http://orcid.org/0000-0001-8487-9478
                Article
                9037
                10.1007/s00415-018-9037-y
                6182682
                30191320
                d9a1e773-bb91-4819-82db-d7d7f683ba8a
                © The Author(s) 2018

                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.

                History
                : 14 July 2018
                : 14 August 2018
                : 27 August 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004243, Prinses Beatrix Spierfonds;
                Award ID: W.OR12-22
                Award Recipient :
                Funded by: Stichting Spieren voor Spieren
                Categories
                Original Communication
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2018

                Neurology
                facioscapulohumeral muscular dystrophy,muscle disorders,ultrasound,mri,biomarkers
                Neurology
                facioscapulohumeral muscular dystrophy, muscle disorders, ultrasound, mri, biomarkers

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