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Nava S, Conte G, Triulzi FM, Comi GP, Magri F, Velardo D, Cinnante CM. Diffusion tensor imaging reveals subclinical alterations in muscles of patients with Becker muscular dystrophy. Br J Radiol 2024; 97:947-953. [PMID: 38574384 DOI: 10.1093/bjr/tqae070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 11/21/2023] [Accepted: 03/27/2024] [Indexed: 04/06/2024] Open
Abstract
OBJECTIVES Becker muscular dystrophy (BMD) is a relatively less investigated neuromuscular disease, partially overlapping the phenotype of Duchenne dystrophy (DMD). Physiopathological and anatomical patterns are still not comprehensively known, despite recent effort in the search of early biomarkers. Aim of this study was to selectively compare normal appearing muscles of BMD with healthy controls. METHODS Among a pool of 40 BMD patients and 20 healthy controls, Sartorius and gracilis muscles were selected on the basis of a blinded clinical quantitative/qualitative evaluation, if classified as normal (0 or 1 on Mercuri scale) and subsequently segmented on diffusion tensor MRI scans with a tractographic approach. Diffusion derived parameters were extracted. RESULTS Non-parametric testing revealed significant differences between normal and normal appearing BMD derived parameters in both muscles, the difference being more evident in sartorius. Bonferroni-corrected P-values (<.05) of Mann-Whitney test could discriminate between BMD and controls for standard deviation of all diffusion parameters (mean diffusivity, fractional anisotropy, axial and radial diffusivity) in both sartorius and gracilis, while in sartorius the significant difference was found also in the average values of the same parameters (with exception of RD). CONCLUSIONS This method could identify microstructural alterations in BMD normal appearing sartorius and gracilis. ADVANCES IN KNOWLEDGE Diffusion based MRI could be able to identify possible early or subclinical microstructural alterations in dystrophic patients with BMD.
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Affiliation(s)
- Simone Nava
- Neuroradiology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, via Francesco Sforza 35, 20122 Milan, Italy
| | - Giorgio Conte
- Neuroradiology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, via Francesco Sforza 35, 20122 Milan, Italy
| | - Fabio M Triulzi
- Neuroradiology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, via Francesco Sforza 35, 20122 Milan, Italy
| | - Giacomo P Comi
- Neuromuscular and Rare Diseases Unit, Department of Neuroscience, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, via Francesco Sforza 35, 20122 Milan, Italy
- Dino Ferrari Center, Department of Pathophysiology and Transplantation, University of Milan, via Francesco Sforza 35, 20122 MilanItaly
| | - Francesca Magri
- Neuromuscular and Rare Diseases Unit, Department of Neuroscience, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, via Francesco Sforza 35, 20122 Milan, Italy
- Dino Ferrari Center, Department of Pathophysiology and Transplantation, University of Milan, via Francesco Sforza 35, 20122 MilanItaly
| | - Daniele Velardo
- Neuromuscular and Rare Diseases Unit, Department of Neuroscience, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, via Francesco Sforza 35, 20122 Milan, Italy
- Dino Ferrari Center, Department of Pathophysiology and Transplantation, University of Milan, via Francesco Sforza 35, 20122 MilanItaly
| | - Claudia M Cinnante
- Radiology Department, Istituto Auxologico Italiano IRCCS, Piazzale Brescia 20, 20149 Milan, Italy
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De Wel B, Iterbeke L, Huysmans L, Peeters R, Goosens V, Dubuisson N, van den Bergh P, Van Parijs V, Remiche G, De Waele L, Maes F, Dupont P, Claeys KG. Lessons for future clinical trials in adults with Becker muscular dystrophy: Disease progression detected by muscle magnetic resonance imaging, clinical and patient-reported outcome measures. Eur J Neurol 2024:e16282. [PMID: 38504654 DOI: 10.1111/ene.16282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 02/07/2024] [Accepted: 03/05/2024] [Indexed: 03/21/2024]
Abstract
BACKGROUND AND PURPOSE Because Becker muscular dystrophy (BMD) is a heterogeneous disease and only few studies have evaluated adult patients, it is currently still unclear which outcome measures should be used in future clinical trials. METHODS Muscle magnetic resonance imaging, patient-reported outcome measures and a wide range of clinical outcome measures, including motor function, muscle strength and timed-function tests, were evaluated in 21 adults with BMD at baseline and at 9 and 18 months of follow-up. RESULTS Proton density fat fraction increased significantly in 10/17 thigh muscles after 9 months, and in all thigh and lower leg muscles after 18 months. The 32-item Motor Function Measurement (MFM-32) scale (-1.3%, p = 0.017), North Star Ambulatory Assessment (-1.3 points, p = 0.010) and patient-reported activity limitations scale (-0.3 logits, p = 0.018) deteriorated significantly after 9 months. The 6-min walk distance (-28.7 m, p = 0.042), 10-m walking test (-0.1 m/s, p = 0.032), time to climb four stairs test (-0.03 m/s, p = 0.028) and Biodex peak torque measurements of quadriceps (-4.6 N m, p = 0.014) and hamstrings (-5.0 N m, p = 0.019) additionally deteriorated significantly after 18 months. At this timepoint, domain 1 of the MFM-32 was the only clinical outcome measure with a large sensitivity to change (standardized response mean 1.15). DISCUSSION It is concluded that proton density fat fraction imaging of entire thigh muscles is a sensitive outcome measure to track progressive muscle fat replacement in patients with BMD, already after 9 months of follow-up. Finally, significant changes are reported in a wide range of clinical and patient-reported outcome measures, of which the MFM-32 appeared to be the most sensitive to change in adults with BMD.
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Affiliation(s)
- Bram De Wel
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium
- Department of Neurosciences, Laboratory for Muscle Diseases and Neuropathies, KU Leuven, and Leuven Brain Institute (LBI), Leuven, Belgium
| | - Louise Iterbeke
- Department of Neurosciences, Laboratory for Muscle Diseases and Neuropathies, KU Leuven, and Leuven Brain Institute (LBI), Leuven, Belgium
| | - Lotte Huysmans
- Medical Imaging Research Centre, University Hospitals Leuven, Leuven, Belgium
- Department ESAT - PSI, KU Leuven, Leuven, Belgium
| | - Ronald Peeters
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium
| | - Veerle Goosens
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium
| | - Nicolas Dubuisson
- Department of Neurology, Neuromuscular Reference Center, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Peter van den Bergh
- Department of Neurology, Neuromuscular Reference Center, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Vinciane Van Parijs
- Department of Neurology, Neuromuscular Reference Center, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Gauthier Remiche
- Department of Neurology, Centre de Référence Neuromusculaire, HUB-Hôpital Erasme, Université Libre de Bruxelles, Brussels, Belgium
| | - Liesbeth De Waele
- Department of Pediatrics, University Hospitals Leuven, Leuven, Belgium
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Frederik Maes
- Medical Imaging Research Centre, University Hospitals Leuven, Leuven, Belgium
- Department ESAT - PSI, KU Leuven, Leuven, Belgium
| | - Patrick Dupont
- Department of Neurosciences, Laboratory for Cognitive Neurology, KU Leuven, and Leuven Brain Institute (LBI), Leuven, Belgium
| | - Kristl G Claeys
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium
- Department of Neurosciences, Laboratory for Muscle Diseases and Neuropathies, KU Leuven, and Leuven Brain Institute (LBI), Leuven, Belgium
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Ricci G, Govoni A, Torri F, Astrea G, Buchignani B, Marinella G, Battini R, Manca ML, Castiglione V, Giannoni A, Emdin M, Siciliano G. Characterization of Phenotypic Variability in Becker Muscular Dystrophy for Clinical Practice and Towards Trial Readiness: A Two-Years Follow up Study. J Neuromuscul Dis 2024; 11:375-387. [PMID: 38189759 DOI: 10.3233/jnd-221513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Background Becker muscular dystrophy (BMD) is a dystrophinopathy due to in-frame mutations in the dystrophin gene (DMD) which determines a reduction of dystrophin at muscle level. BMD has a wide spectrum of clinical variability with different degrees of disability. Studies of natural history are needed also in view of up-coming clinical trials. Objectives From an initial cohort of 32 BMD adult subjects, we present a detailed phenotypic characterization of 28 patients, then providing a description of their clinical natural history over the course of 12 months for 18 and 24 months for 13 of them. Methods Each patient has been genetically characterized. Baseline, and 1-year and 2 years assessments included North Star Ambulatory Assessment (NSAA), timed function tests (time to climb and descend four stairs), 6-minute walk test (6MWT), Walton and Gardner-Medwin Scale and Medical Research Council (MRC) scale. Muscle magnetic resonance imaging (MRI) was acquired at baseline and in a subgroup of 9 patients after 24 months. Data on cardiac function (electrocardiogram, echocardiogram, and cardiac MRI) were also collected. Results and conclusions Among the clinical heterogeneity, a more severe involvement is often observed in patients with 45-X del, with a disease progression over two years. The 6MWT appears sensitive to detect modification from baseline during follow up while no variation was observed by MRC testing. Muscle MRI of the lower limbs correlates with clinical parameters.Our study further highlights how the phenotypic variability of BMD adult patients makes it difficult to describe an uniform course and substantiates the need to identify predictive parameters and biomarkers to stratify patients.
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Affiliation(s)
- Giulia Ricci
- Department of Clinical and Experimental Medicine, Neurological Clinic, University of Pisa, Pisa, Italy
| | - Alessandra Govoni
- Neuromuscular and Rare Disease Unit, La Fondazione IRCCS Ca' Granda Ospedale Maggiore di Milano Policlinico, Milano, Italy
| | - Francesca Torri
- Department of Clinical and Experimental Medicine, Neurological Clinic, University of Pisa, Pisa, Italy
| | - Guja Astrea
- Department of Developmental Neuroscience, IRCCS Stella Maris, Calambrone, Pisa, Italy
| | - Bianca Buchignani
- Department of Developmental Neuroscience, IRCCS Stella Maris, Calambrone, Pisa, Italy
- Department of Translational Research and of New Surgical and Medical Technologies Pisa University, Pisa, Italy
| | - Gemma Marinella
- Department of Developmental Neuroscience, IRCCS Stella Maris, Calambrone, Pisa, Italy
| | - Roberta Battini
- Department of Clinical and Experimental Medicine, Neurological Clinic, University of Pisa, Pisa, Italy
- Department of Developmental Neuroscience, IRCCS Stella Maris, Calambrone, Pisa, Italy
| | - Maria Laura Manca
- Department of Clinical and Experimental Medicine, Neurological Clinic, University of Pisa, Pisa, Italy
- Department of Mathematics, University of Pisa, Pisa, Italy
| | - Vincenzo Castiglione
- Health Science Interdisciplinary Center, Scuola Superiore Sant'Anna, Pisa, Italy
- Fondazione Toscana Gabriele Monasterio, Pisa, Italy
| | - Alberto Giannoni
- Health Science Interdisciplinary Center, Scuola Superiore Sant'Anna, Pisa, Italy
- Fondazione Toscana Gabriele Monasterio, Pisa, Italy
| | - Michele Emdin
- Health Science Interdisciplinary Center, Scuola Superiore Sant'Anna, Pisa, Italy
- Fondazione Toscana Gabriele Monasterio, Pisa, Italy
| | - Gabriele Siciliano
- Department of Clinical and Experimental Medicine, Neurological Clinic, University of Pisa, Pisa, Italy
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Mooshage CM, Tsilingiris D, Schimpfle L, Kender Z, Aziz-Safaie T, Hohmann A, Szendroedi J, Nawroth P, Sturm V, Heiland S, Bendszus M, Kopf S, Kurz FT, Jende JME. Insulin Resistance Is Associated With Reduced Capillary Permeability of Thigh Muscles in Patients With Type 2 Diabetes. J Clin Endocrinol Metab 2023; 109:e137-e144. [PMID: 37579325 DOI: 10.1210/clinem/dgad481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 08/08/2023] [Accepted: 08/11/2023] [Indexed: 08/16/2023]
Abstract
CONTEXT Insulin-mediated microvascular permeability and blood flow of skeletal muscle appears to be altered in the condition of insulin resistance. Previous studies on this effect used invasive procedures in humans or animals. OBJECTIVE The aim of this study was to demonstrate the feasibility of a noninvasive assessment of human muscle microcirculation via dynamic contrast-enhanced (DCE)-magnetic resonance imaging (MRI) of skeletal muscle in patients with type 2 diabetes (T2D). METHODS A total of 56 participants (46 with T2D, 10 healthy controls [HC]) underwent DCE-MRI of the right thigh at 3 Tesla. The constant of the musculature's microvascular permeability (Ktrans), extravascular extracellular volume fraction (ve), and plasma volume fraction (vp) were calculated. RESULTS In T2D patients, skeletal muscle Ktrans was lower (HC 0.0677 ± 0.002 min-1, T2D 0.0664 ± 0.002 min-1; P = 0.042) while the homeostasis model assessment (HOMA) index was higher in patients with T2D compared to HC (HC 2.72 ± 2.2, T2D 6.11 ± 6.2; P = .011). In T2D, Ktrans correlated negatively with insulin (r = -0.39, P = .018) and HOMA index (r = -0.38, P = .020). CONCLUSION The results signify that skeletal muscle DCE-MRI can be employed as a noninvasive technique for the assessment of muscle microcirculation in T2D. Our findings suggest that microvascular permeability of skeletal muscle is lowered in patients with T2D and that a decrease in microvascular permeability is associated with insulin resistance. These results are of interest with regard to the impact of muscle perfusion on diabetic complications such as diabetic sarcopenia.
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Affiliation(s)
- Christoph M Mooshage
- Department of Neuroradiology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Dimitrios Tsilingiris
- Department of Endocrinology, Diabetology and Clinical Chemistry (Internal Medicine 1), Heidelberg University Hospital, 69120 Heidelberg, Germany
- German Center for Diabetes Research, DZD, 85764 München-Neuherberg, Germany
| | - Lukas Schimpfle
- Department of Endocrinology, Diabetology and Clinical Chemistry (Internal Medicine 1), Heidelberg University Hospital, 69120 Heidelberg, Germany
- German Center for Diabetes Research, DZD, 85764 München-Neuherberg, Germany
- Institute for Diabetes and Cancer (IDC), Helmholtz Diabetes Center, Helmholtz Center, Munich, 85764 Neuherberg, Germany
| | - Zoltan Kender
- Department of Endocrinology, Diabetology and Clinical Chemistry (Internal Medicine 1), Heidelberg University Hospital, 69120 Heidelberg, Germany
- German Center for Diabetes Research, DZD, 85764 München-Neuherberg, Germany
- Institute for Diabetes and Cancer (IDC), Helmholtz Diabetes Center, Helmholtz Center, Munich, 85764 Neuherberg, Germany
| | - Taraneh Aziz-Safaie
- Department of Neuroradiology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Anja Hohmann
- Department of Neurology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Julia Szendroedi
- Department of Endocrinology, Diabetology and Clinical Chemistry (Internal Medicine 1), Heidelberg University Hospital, 69120 Heidelberg, Germany
- German Center for Diabetes Research, DZD, 85764 München-Neuherberg, Germany
- Joint Heidelberg-IDC Translational Diabetes Program, Inner Medicine 1, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Peter Nawroth
- Department of Endocrinology, Diabetology and Clinical Chemistry (Internal Medicine 1), Heidelberg University Hospital, 69120 Heidelberg, Germany
- German Center for Diabetes Research, DZD, 85764 München-Neuherberg, Germany
- Joint Heidelberg-IDC Translational Diabetes Program, Inner Medicine 1, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Volker Sturm
- Department of Neuroradiology, Heidelberg University Hospital, 69120 Heidelberg, Germany
- Division of Experimental Radiology, Department of Neuroradiology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Sabine Heiland
- Department of Neuroradiology, Heidelberg University Hospital, 69120 Heidelberg, Germany
- Division of Experimental Radiology, Department of Neuroradiology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Martin Bendszus
- Department of Neuroradiology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Stefan Kopf
- Department of Endocrinology, Diabetology and Clinical Chemistry (Internal Medicine 1), Heidelberg University Hospital, 69120 Heidelberg, Germany
- German Center for Diabetes Research, DZD, 85764 München-Neuherberg, Germany
- Institute for Diabetes and Cancer (IDC), Helmholtz Diabetes Center, Helmholtz Center, Munich, 85764 Neuherberg, Germany
| | - Felix T Kurz
- Department of Neuroradiology, Heidelberg University Hospital, 69120 Heidelberg, Germany
- Department of Radiology, German Cancer Research Center, 69120 Heidelberg, Germany
| | - Johann M E Jende
- Department of Neuroradiology, Heidelberg University Hospital, 69120 Heidelberg, Germany
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5
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Magot A, Wahbi K, Leturcq F, Jaffre S, Péréon Y, Sole G. Diagnosis and management of Becker muscular dystrophy: the French guidelines. J Neurol 2023; 270:4763-4781. [PMID: 37422773 DOI: 10.1007/s00415-023-11837-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 06/19/2023] [Accepted: 06/20/2023] [Indexed: 07/11/2023]
Abstract
Becker muscular dystrophy (BMD) is one of the most frequent among neuromuscular diseases, affecting approximately 1 in 18,000 male births. It is linked to a genetic mutation on the X chromosome. In contrast to Duchenne muscular dystrophy, for which improved care and management have changed the prognosis and life expectancy of patients, few guidelines have been published for management of BMD. Many clinicians are inexperienced in managing the complications of this disease. In France, a committee of experts from a wide range of disciplines met in 2019 to establish recommendations, with the goal of improving care of patients with BMD. Here, we present the tools to provide diagnosis of BMD as quickly as possible and for differential diagnoses. Then, we describe the multidisciplinary approach essential for optimum management of BMD. We give recommendations for the initial assessment and follow-up of the neurological, respiratory, cardiac, and orthopedic consequences of males who present with BMD. Finally, we describe the optimal therapeutic management of these complications. We also provide guidance on cardiac management for female carriers.
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Affiliation(s)
- Armelle Magot
- Centre de Référence des Maladies Neuromusculaires AOC, Laboratoire d'Explorations Fonctionnelles, FILNEMUS, Hôtel-Dieu, CHU de Nantes, Nantes, France.
| | - Karim Wahbi
- Centre de Référence des Maladies Neuromusculaires Paris Est, AP-HP, Hopital Pitie salpêtrière, Institut de myologie, Cardiovascular Research Center, Inserm Unit 970, Paris, France
| | - France Leturcq
- Service de Médecine Génomique des Maladies de Système et d'Organe, APHP, Université de Paris, Hopital Cochin, Paris, France
| | - Sandrine Jaffre
- Service de Pneumologie, L'institut du thorax, Hôpital G et R Laennec, CHU de Nantes, Nantes, France
| | - Yann Péréon
- Centre de Référence des Maladies Neuromusculaires AOC, Laboratoire d'Explorations Fonctionnelles, FILNEMUS, Euro-NMD, Hôtel-Dieu, CHU de Nantes, Nantes, France
| | - Guilhem Sole
- Centre de Référence des Maladies Neuromusculaires AOC, FILNEMUS, Hôpital Pellegrin, CHU de Bordeaux, Bordeaux, France
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Zi Y, Zhang B, Liu L, Cao X, Zeng W, Li X, Zhang G, Wan J, Shi L, Wu H. Fat content in lumbar paravertebral muscles: Quantitative and qualitative analysis using dual-energy CT in correlation to MR imaging. Eur J Radiol 2022; 148:110150. [PMID: 35032847 DOI: 10.1016/j.ejrad.2021.110150] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 12/29/2021] [Accepted: 12/31/2021] [Indexed: 11/03/2022]
Abstract
PURPOSE This study aims to assess the diagnostic performance of dual-energy computed tomography (DECT) on lumbar paravertebral muscles fat infiltration (PMFI) in participants with low back pain (LBP). METHOD In this prospective study, 21 participants with LBP were performed with noncontrast DECT scans within 1 week after magnetic resonance (MR) examinations. The assessment was based on the selected region of interest obtained from the paravertebral L1/L2-L5/S1 muscle. On visual evaluation, PMFI was assessed at DECT virtual monoenergetic images (80 keV) with Goutallier classification system using MR results as a reference. Quantitative parameters fat fraction, CT number, ΔCT number (difference of CT number at 140 and 80 keV), and optimal cutoff values above the indicators between MR adjacent grades were measured. RESULTS In this study, 582 ROIs from 21 participants (mean age, 60 ± 16 years old; 15 females) were evaluated. Sensitivity, specificity, and accuracy of readers 1 and 2 at severe grade (grades 3 and 4) were 67% and 85% (22 and 28 of 33), 99% and 99% (159 and 160 of 161), and 93% and 97% (181 and 188 of 194), respectively. Interobserver reliability was high with κ = 0.85 (p < 0.001). For DECT quantification parameters, significance was all represented between five grades (all p < 0.01). The area under the curve of indicators for discrimination between severe (grades 3 and 4) and normal and moderate (grades 0, 1, and 2) grades were > 0.80 (p < 0.001). CONCLUSIONS DECT was a promising qualitative and quantitative imaging technique to assess lumbar PMFI in participants with LBP and could provide accurate quantification for different fat infiltration (FI) degrees. Moreover, visual DECT assessment could excellently distinguish severe from normal and moderate FI of MR grades.
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Affiliation(s)
- Yunyan Zi
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510515, Guangdong, PR China; Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong, PR China.
| | - Baoshuai Zhang
- Institutes for Life Science, School of Medicine, South China University of Technology, Guangzhou 510006, Guangdong, PR China.
| | - Lin Liu
- Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong, PR China; Medical College, Shantou University, Shantou 515063, Guangdong, PR China.
| | - Ximing Cao
- Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong, PR China.
| | - Weibin Zeng
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen 518038, Guangdong, PR China.
| | - Xiuhui Li
- Department of Information Media Industry, Guangzhou Public Utility Technician College, Guangzhou 510030, Guangdong, PR China.
| | - Guangfeng Zhang
- Department of Rheumatism, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong, PR China.
| | - Jiayu Wan
- Institutes for Life Science, School of Medicine, South China University of Technology, Guangzhou 510006, Guangdong, PR China.
| | - Lei Shi
- CT Collaboration, Siemens Healthcare Ltd, Guangzhou 510080, Guangdong, PR China.
| | - Haijun Wu
- Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong, PR China.
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7
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van de Velde NM, Hooijmans MT, Sardjoe Mishre ASD, Keene KR, Koeks Z, Veeger TTJ, Alleman I, van Zwet EW, Beenakker JWM, Verschuuren JJGM, Kan HE, Niks EH. Selection Approach to Identify the Optimal Biomarker Using Quantitative Muscle MRI and Functional Assessments in Becker Muscular Dystrophy. Neurology 2021; 97:e513-e522. [PMID: 34162720 PMCID: PMC8356376 DOI: 10.1212/wnl.0000000000012233] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 04/29/2021] [Indexed: 12/30/2022] Open
Abstract
Objective To identify the best quantitative fat–water MRI biomarker for disease progression of leg muscles in Becker muscular dystrophy (BMD) by applying a stepwise approach based on standardized response mean (SRM) over 24 months, correlations with baseline ambulatory tests, and reproducibility. Methods Dixon fat–water imaging was performed at baseline (n = 24) and 24 months (n = 20). Fat fractions (FF) were calculated for 3 center slices and the whole muscles for 19 muscles and 6 muscle groups. Contractile cross-sectional area (cCSA) was obtained from the center slice. Functional assessments included knee extension and flexion force and 3 ambulatory tests (North Star Ambulatory Assessment [NSAA], 10-meter run, 6-minute walking test). MRI measures were selected using SRM (≥0.8) and correlation with all ambulatory tests (ρ ≤ −0.8). Measures were evaluated based on intraclass correlation coefficient (ICC) and SD of the difference. Sample sizes were calculated assuming 50% reduction in disease progression over 24 months in a clinical trial with 1:1 randomization. Results Median whole muscle FF increased between 0.2% and 2.6% without consistent cCSA changes. High SRMs and strong functional correlations were found for 8 FF but no cCSA measures. All measures showed excellent ICC (≥0.999) and similar SD of the interrater difference. Whole thigh 3 center slices FF was the best biomarker (SRM 1.04, correlations ρ ≤ −0.81, ICC 1.00, SD 0.23%, sample size 59) based on low SD and acquisition and analysis time. Conclusion In BMD, median FF of all muscles increased over 24 months. Whole thigh 3 center slices FF reduced the sample size by approximately 40% compared to NSAA.
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Affiliation(s)
- Nienke M van de Velde
- From the Department of Neurology (N.M.v.d.V., K.R.K., Z.K., J.J.G.M.V., E.H.N.), C.J. Gorter Center for High-Field MRI, Department of Radiology (M.T.H., A.S.D.S.M., K.R.K., T.T.J.V., J.-W.M.B., H.E.K.), Department of Orthopaedics, Rehabilitation and Physical Therapy (I.A.), Department of Biomedical Data Sciences (E.W.v.Z.), and Department of Ophthalmology (J.-W.M.B.), Leiden University Medical Center, the Netherlands; and Duchenne Center Netherlands (N.M.v.d.V., J.J.G.M.V., H.E.K., E.H.N.), the Netherlands
| | - Melissa T Hooijmans
- From the Department of Neurology (N.M.v.d.V., K.R.K., Z.K., J.J.G.M.V., E.H.N.), C.J. Gorter Center for High-Field MRI, Department of Radiology (M.T.H., A.S.D.S.M., K.R.K., T.T.J.V., J.-W.M.B., H.E.K.), Department of Orthopaedics, Rehabilitation and Physical Therapy (I.A.), Department of Biomedical Data Sciences (E.W.v.Z.), and Department of Ophthalmology (J.-W.M.B.), Leiden University Medical Center, the Netherlands; and Duchenne Center Netherlands (N.M.v.d.V., J.J.G.M.V., H.E.K., E.H.N.), the Netherlands
| | - Aashley S D Sardjoe Mishre
- From the Department of Neurology (N.M.v.d.V., K.R.K., Z.K., J.J.G.M.V., E.H.N.), C.J. Gorter Center for High-Field MRI, Department of Radiology (M.T.H., A.S.D.S.M., K.R.K., T.T.J.V., J.-W.M.B., H.E.K.), Department of Orthopaedics, Rehabilitation and Physical Therapy (I.A.), Department of Biomedical Data Sciences (E.W.v.Z.), and Department of Ophthalmology (J.-W.M.B.), Leiden University Medical Center, the Netherlands; and Duchenne Center Netherlands (N.M.v.d.V., J.J.G.M.V., H.E.K., E.H.N.), the Netherlands
| | - Kevin R Keene
- From the Department of Neurology (N.M.v.d.V., K.R.K., Z.K., J.J.G.M.V., E.H.N.), C.J. Gorter Center for High-Field MRI, Department of Radiology (M.T.H., A.S.D.S.M., K.R.K., T.T.J.V., J.-W.M.B., H.E.K.), Department of Orthopaedics, Rehabilitation and Physical Therapy (I.A.), Department of Biomedical Data Sciences (E.W.v.Z.), and Department of Ophthalmology (J.-W.M.B.), Leiden University Medical Center, the Netherlands; and Duchenne Center Netherlands (N.M.v.d.V., J.J.G.M.V., H.E.K., E.H.N.), the Netherlands
| | - Zaïda Koeks
- From the Department of Neurology (N.M.v.d.V., K.R.K., Z.K., J.J.G.M.V., E.H.N.), C.J. Gorter Center for High-Field MRI, Department of Radiology (M.T.H., A.S.D.S.M., K.R.K., T.T.J.V., J.-W.M.B., H.E.K.), Department of Orthopaedics, Rehabilitation and Physical Therapy (I.A.), Department of Biomedical Data Sciences (E.W.v.Z.), and Department of Ophthalmology (J.-W.M.B.), Leiden University Medical Center, the Netherlands; and Duchenne Center Netherlands (N.M.v.d.V., J.J.G.M.V., H.E.K., E.H.N.), the Netherlands
| | - Thom T J Veeger
- From the Department of Neurology (N.M.v.d.V., K.R.K., Z.K., J.J.G.M.V., E.H.N.), C.J. Gorter Center for High-Field MRI, Department of Radiology (M.T.H., A.S.D.S.M., K.R.K., T.T.J.V., J.-W.M.B., H.E.K.), Department of Orthopaedics, Rehabilitation and Physical Therapy (I.A.), Department of Biomedical Data Sciences (E.W.v.Z.), and Department of Ophthalmology (J.-W.M.B.), Leiden University Medical Center, the Netherlands; and Duchenne Center Netherlands (N.M.v.d.V., J.J.G.M.V., H.E.K., E.H.N.), the Netherlands
| | - Iris Alleman
- From the Department of Neurology (N.M.v.d.V., K.R.K., Z.K., J.J.G.M.V., E.H.N.), C.J. Gorter Center for High-Field MRI, Department of Radiology (M.T.H., A.S.D.S.M., K.R.K., T.T.J.V., J.-W.M.B., H.E.K.), Department of Orthopaedics, Rehabilitation and Physical Therapy (I.A.), Department of Biomedical Data Sciences (E.W.v.Z.), and Department of Ophthalmology (J.-W.M.B.), Leiden University Medical Center, the Netherlands; and Duchenne Center Netherlands (N.M.v.d.V., J.J.G.M.V., H.E.K., E.H.N.), the Netherlands
| | - Erik W van Zwet
- From the Department of Neurology (N.M.v.d.V., K.R.K., Z.K., J.J.G.M.V., E.H.N.), C.J. Gorter Center for High-Field MRI, Department of Radiology (M.T.H., A.S.D.S.M., K.R.K., T.T.J.V., J.-W.M.B., H.E.K.), Department of Orthopaedics, Rehabilitation and Physical Therapy (I.A.), Department of Biomedical Data Sciences (E.W.v.Z.), and Department of Ophthalmology (J.-W.M.B.), Leiden University Medical Center, the Netherlands; and Duchenne Center Netherlands (N.M.v.d.V., J.J.G.M.V., H.E.K., E.H.N.), the Netherlands
| | - Jan-Willem M Beenakker
- From the Department of Neurology (N.M.v.d.V., K.R.K., Z.K., J.J.G.M.V., E.H.N.), C.J. Gorter Center for High-Field MRI, Department of Radiology (M.T.H., A.S.D.S.M., K.R.K., T.T.J.V., J.-W.M.B., H.E.K.), Department of Orthopaedics, Rehabilitation and Physical Therapy (I.A.), Department of Biomedical Data Sciences (E.W.v.Z.), and Department of Ophthalmology (J.-W.M.B.), Leiden University Medical Center, the Netherlands; and Duchenne Center Netherlands (N.M.v.d.V., J.J.G.M.V., H.E.K., E.H.N.), the Netherlands
| | - Jan J G M Verschuuren
- From the Department of Neurology (N.M.v.d.V., K.R.K., Z.K., J.J.G.M.V., E.H.N.), C.J. Gorter Center for High-Field MRI, Department of Radiology (M.T.H., A.S.D.S.M., K.R.K., T.T.J.V., J.-W.M.B., H.E.K.), Department of Orthopaedics, Rehabilitation and Physical Therapy (I.A.), Department of Biomedical Data Sciences (E.W.v.Z.), and Department of Ophthalmology (J.-W.M.B.), Leiden University Medical Center, the Netherlands; and Duchenne Center Netherlands (N.M.v.d.V., J.J.G.M.V., H.E.K., E.H.N.), the Netherlands
| | - Hermien E Kan
- From the Department of Neurology (N.M.v.d.V., K.R.K., Z.K., J.J.G.M.V., E.H.N.), C.J. Gorter Center for High-Field MRI, Department of Radiology (M.T.H., A.S.D.S.M., K.R.K., T.T.J.V., J.-W.M.B., H.E.K.), Department of Orthopaedics, Rehabilitation and Physical Therapy (I.A.), Department of Biomedical Data Sciences (E.W.v.Z.), and Department of Ophthalmology (J.-W.M.B.), Leiden University Medical Center, the Netherlands; and Duchenne Center Netherlands (N.M.v.d.V., J.J.G.M.V., H.E.K., E.H.N.), the Netherlands
| | - Erik H Niks
- From the Department of Neurology (N.M.v.d.V., K.R.K., Z.K., J.J.G.M.V., E.H.N.), C.J. Gorter Center for High-Field MRI, Department of Radiology (M.T.H., A.S.D.S.M., K.R.K., T.T.J.V., J.-W.M.B., H.E.K.), Department of Orthopaedics, Rehabilitation and Physical Therapy (I.A.), Department of Biomedical Data Sciences (E.W.v.Z.), and Department of Ophthalmology (J.-W.M.B.), Leiden University Medical Center, the Netherlands; and Duchenne Center Netherlands (N.M.v.d.V., J.J.G.M.V., H.E.K., E.H.N.), the Netherlands.
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8
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Sheikh AM, Rudolf K, de Stricker Borch J, Khawajazada T, Witting N, Vissing J. Patients With Becker Muscular Dystrophy Have Severe Paraspinal Muscle Involvement. Front Neurol 2021; 12:613483. [PMID: 34093388 PMCID: PMC8177107 DOI: 10.3389/fneur.2021.613483] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Accepted: 04/27/2021] [Indexed: 01/26/2023] Open
Abstract
Introduction: Paraspinal muscles are important for gross motor functions. Impairment of these muscles can lead to poor postural control and ambulation difficulty. Little knowledge exists about the involvement of paraspinal muscles in Becker muscular dystrophy. Objective: In this cross-sectional study, we investigated the involvement of paraspinal muscles with quantitative trunk strength measure and quantitative muscle MRI. Methods and Materials: Eighteen patients with Becker muscular dystrophy underwent trunk, hip, and thigh strength assessment using a Biodex dynamometer and an MRI Dixon scan. Fourteen age- and body mass index-matched healthy men were included for comparison. Results: Muscle fat fraction (FF) of the paraspinal muscles (multifidus and erector spinae) was higher in participants with Becker muscular dystrophy vs. healthy controls at all three examined spinal levels (C6, Th12, and L4/L5) (p < 0.05). There was a strong and inverse correlation between paraspinal muscle FF and trunk extension strength (ρ = −0.829, p < 0.001), gluteus maximus FF and hip extension strength (ρ = −0.701, p = 0.005), FF of the knee extensor muscles (quadriceps and sartorius) and knee extension strength (ρ = −0.842, p < 0.001), and FF of the knee flexor muscles (hamstring muscles) and knee flexion strength (ρ = −0.864, p < 0.001). Fat fraction of the paraspinal muscles also correlated with muscle FF of the thigh muscles and lower leg muscles. Conclusion: In conclusion, patients with Becker muscular dystrophy demonstrate severe paraspinal muscular involvement indicated by low back extension strength and high levels of fat replacement, which parallel involvement of lower limb muscles. Assessment of paraspinal muscle strength and fat replacement may serve as a possible biomarker for both the clinical management and further study of the disease.
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Affiliation(s)
- Aisha M Sheikh
- Copenhagen Neuromuscular Center, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Karen Rudolf
- Copenhagen Neuromuscular Center, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Josefine de Stricker Borch
- Copenhagen Neuromuscular Center, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Tahmina Khawajazada
- Copenhagen Neuromuscular Center, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Nanna Witting
- Copenhagen Neuromuscular Center, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - John Vissing
- Copenhagen Neuromuscular Center, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
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9
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Sheikh AM, Rudolf K, Witting N, Vissing J. Quantitative Muscle MRI as Outcome Measure in Patients With Becker Muscular Dystrophy-A 1-Year Follow-Up Study. Front Neurol 2021; 11:613489. [PMID: 33469442 PMCID: PMC7813752 DOI: 10.3389/fneur.2020.613489] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Accepted: 11/26/2020] [Indexed: 12/16/2022] Open
Abstract
Introduction: With the advent of emerging molecular therapies for muscular dystrophies, the need for knowledge about natural history course of such diseases is of utmost importance in the preparation for future trials. However, for Becker muscular dystrophy such knowledge is scarce. Objective: In this 1-year follow-up study, we examined disease progression in Becker muscular dystrophy by monitoring changes in MRI-assessed muscle fat fraction (FF) in axial and lower limb muscles and quantitative muscle strength of axial muscles. Methods and Materials: Sixteen patients with Becker muscular dystrophy were investigated by (1) muscle strength of the trunk using a Biodex dynamometer and (2) Dixon muscle MRI of paraspinal and lower limb muscles. Quantitative MRI data was analyzed in two parts: The first part consisted of all participants (N = 16). The second analysis assessed two separate groups comprising lesser affected participants (N = 5) and more severely affected patients (n = 11). Results: Trunk extension and flexion strength remained stable from baseline to follow-up. MRI did not show any significant increase in muscle FF % from baseline to follow-up in all patients, except for multifidus at the spinal level T12 (p = 0.01). However, when we analyzed the two subgroups, according to disease severity, FF% increased in the lesser severely affected group at L4/L5 erector spinae (p = 0.047), sartorius (p = 0.028), gracilis (p = 0.009), tibialis anterior (p = 0.047), peroneals (p = 0.028), and gastrocnemius medialis (p = 0.009), while the severely affected group only increased significantly at T12 multifidus (p = 0.028) and T12 erector spinae (p = 0.011). No difference in muscle strength was observed in the two subgroups. Conclusion: Our results add to the existing knowledge about the natural rate of disease progression in BMD. As quantitative MRI was able to identify changes where strength assessment was not, MRI could be a strong biomarker for change in BMD. However, our findings show that it is important to stratify patients with BMD according to phenotype for future clinical trials.
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Affiliation(s)
- Aisha M Sheikh
- Department of Neurology, Copenhagen Neuromuscular Center, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Karen Rudolf
- Department of Neurology, Copenhagen Neuromuscular Center, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Nanna Witting
- Department of Neurology, Copenhagen Neuromuscular Center, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - John Vissing
- Department of Neurology, Copenhagen Neuromuscular Center, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
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10
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Secondulfo L, Ogier AC, Monte JR, Aengevaeren VL, Bendahan D, Nederveen AJ, Strijkers GJ, Hooijmans MT. Supervised segmentation framework for evaluation of diffusion tensor imaging indices in skeletal muscle. NMR IN BIOMEDICINE 2021; 34:e4406. [PMID: 33001508 PMCID: PMC7757256 DOI: 10.1002/nbm.4406] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 08/11/2020] [Accepted: 08/14/2020] [Indexed: 05/05/2023]
Abstract
Diffusion tensor imaging (DTI) is becoming a relevant diagnostic tool to understand muscle disease and map muscle recovery processes following physical activity or after injury. Segmenting all the individual leg muscles, necessary for quantification, is still a time-consuming manual process. The purpose of this study was to evaluate the impact of a supervised semi-automatic segmentation pipeline on the quantification of DTI indices in individual upper leg muscles. Longitudinally acquired MRI datasets (baseline, post-marathon and follow-up) of the upper legs of 11 subjects were used in this study. MR datasets consisted of a DTI and Dixon acquisition. Semi-automatic segmentations for the upper leg muscles were performed using a transversal propagation approach developed by Ogier et al on the out-of-phase Dixon images at baseline. These segmentations were longitudinally propagated for the post-marathon and follow-up time points. Manual segmentations were performed on the water image of the Dixon for each of the time points. Dice similarity coefficients (DSCs) were calculated to compare the manual and semi-automatic segmentations. Bland-Altman and regression analyses were performed, to evaluate the impact of the two segmentation methods on mean diffusivity (MD), fractional anisotropy (FA) and the third eigenvalue (λ3 ). The average DSC for all analyzed muscles over all time points was 0.92 ± 0.01, ranging between 0.48 and 0.99. Bland-Altman analysis showed that the 95% limits of agreement for MD, FA and λ3 ranged between 0.5% and 3.0% for the transversal propagation and between 0.7% and 3.0% for the longitudinal propagations. Similarly, regression analysis showed good correlation for MD, FA and λ3 (r = 0.99, p < 60; 0.0001). In conclusion, the supervised semi-automatic segmentation framework successfully quantified DTI indices in the upper-leg muscles compared with manual segmentation while only requiring manual input of 30% of the slices, resulting in a threefold reduction in segmentation time.
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Affiliation(s)
- Laura Secondulfo
- Department of Biomedical Engineering and Physics, Amsterdam University Medical CentersUniversity of AmsterdamThe Netherlands
| | - Augustin C. Ogier
- Aix Marseille Universite, Universite de Toulon, CNRS, LISMarseilleFrance
- Aix Marseille Universite, CNRS, CRMBMMarseilleFrance
| | - Jithsa R. Monte
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical CentersUniversity of AmsterdamThe Netherlands
| | - Vincent L. Aengevaeren
- Radboud Institute for Health Sciences, Department of PhysiologyRadboud University Medical CenterNijmegenThe Netherlands
| | | | - Aart J. Nederveen
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical CentersUniversity of AmsterdamThe Netherlands
| | - Gustav J. Strijkers
- Department of Biomedical Engineering and Physics, Amsterdam University Medical CentersUniversity of AmsterdamThe Netherlands
| | - Melissa T. Hooijmans
- Department of Biomedical Engineering and Physics, Amsterdam University Medical CentersUniversity of AmsterdamThe Netherlands
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11
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Farrow M, Biglands J, Alfuraih AM, Wakefield RJ, Tan AL. Novel Muscle Imaging in Inflammatory Rheumatic Diseases-A Focus on Ultrasound Shear Wave Elastography and Quantitative MRI. Front Med (Lausanne) 2020; 7:434. [PMID: 32903395 PMCID: PMC7434835 DOI: 10.3389/fmed.2020.00434] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 07/06/2020] [Indexed: 12/31/2022] Open
Abstract
In recent years, imaging has played an increasing role in the clinical management of patients with rheumatic diseases with respect to aiding diagnosis, guiding therapy and monitoring disease progression. These roles have been underpinned by research which has enhanced our understanding of disease pathogenesis and pathophysiology of rheumatology conditions, in addition to their key role in outcome measurement in clinical trials. However, compared to joints, imaging research of muscles is less established, despite the fact that muscle symptoms are very common and debilitating in many rheumatic diseases. Recently, it has been shown that even though patients with rheumatoid arthritis may achieve clinical remission, defined by asymptomatic joints, many remain affected by lingering constitutional systemic symptoms like fatigue, tiredness, weakness and myalgia, which may be attributed to changes in the muscles. Recent improvements in imaging technology, coupled with an increasing clinical interest, has started to ignite new interest in the area. This perspective discusses the rationale for using imaging, particularly ultrasound and MRI, for investigating muscle pathology involved in common inflammatory rheumatic diseases. The muscles associated with rheumatic diseases can be affected in many ways, including myositis-an inflammatory muscle condition, and myopathy secondary to medications, such as glucocorticoids. In addition to non-invasive visual assessment of muscles in these conditions, novel imaging techniques like shear wave elastography and quantitative MRI can provide further useful information regarding the physiological and biomechanical status of the muscle.
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Affiliation(s)
- Matthew Farrow
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, Chapel Allerton Hospital, University of Leeds, Leeds, United Kingdom.,NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom.,School of Pharmacy and Medical Sciences, University of Bradford, Bradford, United Kingdom
| | - John Biglands
- NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom.,Medical Physics and Engineering, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Abdulrahman M Alfuraih
- Radiology and Medical Imaging Department, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia
| | - Richard J Wakefield
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, Chapel Allerton Hospital, University of Leeds, Leeds, United Kingdom.,NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Ai Lyn Tan
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, Chapel Allerton Hospital, University of Leeds, Leeds, United Kingdom.,NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
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