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Zeng R, Schlaeger S, Türk M, Baum T, Deschauer M, Janka R, Karampinos D, Kassubek J, Keller-Yamamura S, Kornblum C, Lehmann H, Lichtenstein T, Nagel AM, Reimann J, Rosenbohm A, Schlaffke L, Schmidt M, Schneider-Gold C, Schoser B, Trollmann R, Vorgerd M, Weber MA, Kirschke JS, Schmidt J. [Expert recommendations for magnetic resonance imaging of muscle disorders]. RADIOLOGIE (HEIDELBERG, GERMANY) 2024; 64:653-662. [PMID: 38639916 DOI: 10.1007/s00117-024-01276-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/07/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND Magnetic resonance (MRI) imaging of the skeletal muscles (muscle MRI for short) is increasingly being used in clinical routine for diagnosis and longitudinal assessment of muscle disorders. However, cross-centre standards for measurement protocol and radiological assessment are still lacking. OBJECTIVES The aim of this expert recommendation is to present standards for the application and interpretation of muscle MRI in hereditary and inflammatory muscle disorders. METHODS This work was developed in collaboration between neurologists, neuroradiologists, radiologists, neuropaediatricians, neuroscientists and MR physicists from different university hospitals in Germany. The recommendations are based on expert knowledge and a focused literature search. RESULTS The indications for muscle MRI are explained, including the detection and monitoring of structural tissue changes and oedema in the muscle, as well as the identification of a suitable biopsy site. Recommendations for the examination procedure and selection of appropriate MRI sequences are given. Finally, steps for a structured radiological assessment are presented. CONCLUSIONS The present work provides concrete recommendations for the indication, implementation and interpretation of muscle MRI in muscle disorders. Furthermore, it provides a possible basis for the standardisation of the measurement protocols at all clinical centres in Germany.
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Affiliation(s)
- Rachel Zeng
- Klinik für Neurologie, Universitätsmedizin Göttingen, Göttingen, Deutschland
| | - Sarah Schlaeger
- Abteilung für Diagnostische und Interventionelle Neuroradiologie, Klinikum rechts der Isar, Technische Universität München, München, Deutschland, Ismaningerstr. 22, 81675
- Klinik und Poliklinik für Radiologie, LMU Klinikum, LMU München, München, Deutschland
| | - Matthias Türk
- Neurologische Klinik, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
- Zentrum für seltene Erkrankungen Erlangen (ZSEER), Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
| | - Thomas Baum
- Abteilung für Diagnostische und Interventionelle Neuroradiologie, Klinikum rechts der Isar, Technische Universität München, München, Deutschland, Ismaningerstr. 22, 81675
| | - Marcus Deschauer
- Klinik und Poliklinik für Neurologie, Klinikum rechts der Isar, TUM School of Medicine and Health, Technische Universität München, München, Deutschland
| | - Rolf Janka
- Radiologisches Institut, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
| | - Dimitrios Karampinos
- Institut für Diagnostische und Interventionelle Radiologie, Klinikum rechts der Isar, Technische Universität München, München, Deutschland
| | - Jan Kassubek
- Klinik für Neurologie, Universitätsklinikum Ulm, Ulm, Deutschland
| | - Sarah Keller-Yamamura
- Klinik für Radiologie, Charité Campus Mitte, Charité Universitätsmedizin Berlin, Berlin, Deutschland
| | - Cornelia Kornblum
- Klinik und Poliklinik für Neurologie, Sektion Neuromuskuläre Erkrankungen, Universitätsklinikum Bonn, Bonn, Deutschland
| | - Helmar Lehmann
- Neurologische Klinik, Klinikum Leverkusen, akademisches Lehrkrankenhaus der Universität zu Köln, Köln, Deutschland
- Klinik und Poliklinik für Neurologie, Medizinische Fakultät und Uniklinik Köln, Universität zu Köln, Köln, Deutschland
| | - Thorsten Lichtenstein
- Institut für Diagnostische und Interventionelle Radiologie, Medizinische Fakultät und Uniklinik Köln, Universität zu Köln, Köln, Deutschland
| | - Armin M Nagel
- Radiologisches Institut, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
| | - Jens Reimann
- Klinik und Poliklinik für Neurologie, Sektion Neuromuskuläre Erkrankungen, Universitätsklinikum Bonn, Bonn, Deutschland
| | - Angela Rosenbohm
- Klinik für Neurologie, Universitätsklinikum Ulm, Ulm, Deutschland
| | - Lara Schlaffke
- Klinik für Neurologie, BG Universitätsklinikum Bergmannsheil, Ruhr-Universität Bochum, Bochum, Deutschland
| | - Manuel Schmidt
- Neuroradiologisches Institut, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
| | | | - Benedikt Schoser
- Friedrich-Baur-Institut an der Neurologischen Klinik und Poliklinik, LMU Klinikum, Ludwig-Maximilians-Universität München, München, Deutschland
| | - Regina Trollmann
- Zentrum für seltene Erkrankungen Erlangen (ZSEER), Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
- Abteilung Neuropädiatrie und Sozialpädiatrisches Zentrum am Universitätsklinikum, Kinder- und Jugendklinik, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
| | - Matthias Vorgerd
- Klinik für Neurologie, BG Universitätsklinikum Bergmannsheil, Ruhr-Universität Bochum, Bochum, Deutschland
| | - Marc-André Weber
- Institut für Diagnostische und Interventionelle Radiologie, Kinder- und Neuroradiologie, Universitätsmedizin Rostock, Rostock, Deutschland
| | - Jan S Kirschke
- Abteilung für Diagnostische und Interventionelle Neuroradiologie, Klinikum rechts der Isar, Technische Universität München, München, Deutschland, Ismaningerstr. 22, 81675.
| | - Jens Schmidt
- Klinik für Neurologie, Universitätsmedizin Göttingen, Göttingen, Deutschland.
- Abteilung für Neurologie und Schmerztherapie, Neuromuskuläres Zentrum, Zentrum für Translationale Medizin, Immanuel Klinik Rüdersdorf, Universitätsklinikum der Medizinischen Hochschule Brandenburg, Rüdersdorf bei Berlin, Deutschland, Seebad 82/83, 15562.
- Fakultät für Gesundheitswissenschaften Brandenburg, Medizinische Hochschule Brandenburg Theodor Fontane, Rüdersdorf bei Berlin, Deutschland.
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Zeng R, Schlaeger S, Türk M, Baum T, Deschauer M, Janka R, Karampinos D, Kassubek J, Keller-Yamamura S, Kornblum C, Lehmann H, Lichtenstein T, Nagel AM, Reimann J, Rosenbohm A, Schlaffke L, Schmidt M, Schneider-Gold C, Schoser B, Trollmann R, Vorgerd M, Weber MA, Kirschke JS, Schmidt J. [Expert recommendations for magnetic resonance imaging of muscle disorders]. DER NERVENARZT 2024; 95:721-729. [PMID: 38683354 DOI: 10.1007/s00115-024-01673-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/01/2024]
Abstract
BACKGROUND Magnetic resonance (MRI) imaging of the skeletal muscles (muscle MRI for short) is increasingly being used in clinical routine for diagnosis and longitudinal assessment of muscle disorders. However, cross-centre standards for measurement protocol and radiological assessment are still lacking. OBJECTIVES The aim of this expert recommendation is to present standards for the application and interpretation of muscle MRI in hereditary and inflammatory muscle disorders. METHODS This work was developed in collaboration between neurologists, neuroradiologists, radiologists, neuropaediatricians, neuroscientists and MR physicists from different university hospitals in Germany. The recommendations are based on expert knowledge and a focused literature search. RESULTS The indications for muscle MRI are explained, including the detection and monitoring of structural tissue changes and oedema in the muscle, as well as the identification of a suitable biopsy site. Recommendations for the examination procedure and selection of appropriate MRI sequences are given. Finally, steps for a structured radiological assessment are presented. CONCLUSIONS The present work provides concrete recommendations for the indication, implementation and interpretation of muscle MRI in muscle disorders. Furthermore, it provides a possible basis for the standardisation of the measurement protocols at all clinical centres in Germany.
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Affiliation(s)
- Rachel Zeng
- Klinik für Neurologie, Universitätsmedizin Göttingen, Göttingen, Deutschland
| | - Sarah Schlaeger
- Abteilung für Diagnostische und Interventionelle Neuroradiologie, Klinikum rechts der Isar, Technische Universität München, München, Deutschland, Ismaningerstr. 22, 81675
- Klinik und Poliklinik für Radiologie, LMU Klinikum, LMU München, München, Deutschland
| | - Matthias Türk
- Neurologische Klinik, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
- Zentrum für seltene Erkrankungen Erlangen (ZSEER), Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
| | - Thomas Baum
- Abteilung für Diagnostische und Interventionelle Neuroradiologie, Klinikum rechts der Isar, Technische Universität München, München, Deutschland, Ismaningerstr. 22, 81675
| | - Marcus Deschauer
- Klinik und Poliklinik für Neurologie, Klinikum rechts der Isar, TUM School of Medicine and Health, Technische Universität München, München, Deutschland
| | - Rolf Janka
- Radiologisches Institut, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
| | - Dimitrios Karampinos
- Institut für Diagnostische und Interventionelle Radiologie, Klinikum rechts der Isar, Technische Universität München, München, Deutschland
| | - Jan Kassubek
- Klinik für Neurologie, Universitätsklinikum Ulm, Ulm, Deutschland
| | - Sarah Keller-Yamamura
- Klinik für Radiologie, Charité Campus Mitte, Charité Universitätsmedizin Berlin, Berlin, Deutschland
| | - Cornelia Kornblum
- Klinik und Poliklinik für Neurologie, Sektion Neuromuskuläre Erkrankungen, Universitätsklinikum Bonn, Bonn, Deutschland
| | - Helmar Lehmann
- Neurologische Klinik, Klinikum Leverkusen, akademisches Lehrkrankenhaus der Universität zu Köln, Köln, Deutschland
- Klinik und Poliklinik für Neurologie, Medizinische Fakultät und Uniklinik Köln, Universität zu Köln, Köln, Deutschland
| | - Thorsten Lichtenstein
- Institut für Diagnostische und Interventionelle Radiologie, Medizinische Fakultät und Uniklinik Köln, Universität zu Köln, Köln, Deutschland
| | - Armin M Nagel
- Radiologisches Institut, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
| | - Jens Reimann
- Klinik und Poliklinik für Neurologie, Sektion Neuromuskuläre Erkrankungen, Universitätsklinikum Bonn, Bonn, Deutschland
| | - Angela Rosenbohm
- Klinik für Neurologie, Universitätsklinikum Ulm, Ulm, Deutschland
| | - Lara Schlaffke
- Klinik für Neurologie, BG Universitätsklinikum Bergmannsheil, Ruhr-Universität Bochum, Bochum, Deutschland
| | - Manuel Schmidt
- Neuroradiologisches Institut, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
| | | | - Benedikt Schoser
- Friedrich-Baur-Institut an der Neurologischen Klinik und Poliklinik, LMU Klinikum, Ludwig-Maximilians-Universität München, München, Deutschland
| | - Regina Trollmann
- Zentrum für seltene Erkrankungen Erlangen (ZSEER), Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
- Abteilung Neuropädiatrie und Sozialpädiatrisches Zentrum am Universitätsklinikum, Kinder- und Jugendklinik, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
| | - Matthias Vorgerd
- Klinik für Neurologie, BG Universitätsklinikum Bergmannsheil, Ruhr-Universität Bochum, Bochum, Deutschland
| | - Marc-André Weber
- Institut für Diagnostische und Interventionelle Radiologie, Kinder- und Neuroradiologie, Universitätsmedizin Rostock, Rostock, Deutschland
| | - Jan S Kirschke
- Abteilung für Diagnostische und Interventionelle Neuroradiologie, Klinikum rechts der Isar, Technische Universität München, München, Deutschland, Ismaningerstr. 22, 81675.
| | - Jens Schmidt
- Klinik für Neurologie, Universitätsmedizin Göttingen, Göttingen, Deutschland.
- Abteilung für Neurologie und Schmerztherapie, Neuromuskuläres Zentrum, Zentrum für Translationale Medizin, Immanuel Klinik Rüdersdorf, Universitätsklinikum der Medizinischen Hochschule Brandenburg, Rüdersdorf bei Berlin, Deutschland, Seebad 82/83, 15562.
- Fakultät für Gesundheitswissenschaften Brandenburg, Medizinische Hochschule Brandenburg Theodor Fontane, Rüdersdorf bei Berlin, Deutschland.
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Lin F, Yang K, Lin X, Jin M, Chen L, Zheng FZ, Qiu LL, Ye ZX, Chen HZ, Lin MT, Wang N, Wang ZQ. Clinical features, imaging findings and molecular data of limb-girdle muscular dystrophies in a cohort of Chinese patients. Orphanet J Rare Dis 2023; 18:356. [PMID: 37974208 PMCID: PMC10652577 DOI: 10.1186/s13023-023-02897-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 08/31/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND Limb-girdle muscular dystrophies (LGMDs) are a group of heterogeneous inherited diseases predominantly characterized by limb-girdle muscle weakness and dystrophic changes on histological analysis. The frequency of LGMD subtypes varies among regions in China and ethnic populations worldwide. Here, we analyzed the prevalence of LGMD subtypes, their corresponding clinical manifestations, and molecular data in a cohort of LGMD patients in Southeast China. METHODS A total of 81 consecutive patients with clinically suspected LGMDs from 62 unrelated families across Southeast China were recruited for targeted next-generation sequencing and whole-exome sequencing from July 2017 to February 2020. RESULTS Among 50 patients (41 families) with LGMDs, the most common subtypes were LGMD-R2/LGMD2B (36.6%) and LGMD-R1/LGMD2A (29.3%). Dystroglycanopathies (including LGMD-R9/LGMD2I, LGMD-R11/LGMD2K, LGMD-R14/LGMD2N and LGMD-R20/LGMD2U) were the most common childhood-onset subtypes and were found in 12.2% of the families. A total of 14.6% of the families had the LGMD-R7/LGMD2G subtype, and the mutation c.26_33dupAGGTGTCG in TCAP was the most frequent (83.3%). The only patient with the rare subtype LGMD-R18/LGMD2S had TRAPPC11 mutations; had a later onset than those previously reported, and presented with proximal‒distal muscle weakness, walking aid dependency, fatty liver disease and diabetes at 33 years of age. A total of 22.0% of the patients had cardiac abnormalities, and one patient with LMNA-related muscular dystrophy/LGMD1B experienced sudden cardiac death at 37 years of age. A total of 15.4% of the patients had restrictive respiratory insufficiency. Muscle imaging in patients with LGMD-R1/LGMD2A and LGMD-R2/LGMD2B showed subtle differences, including more severe fatty infiltration of the posterior thigh muscles in those with LGMD-R1/LGMD2A and edema in the lower leg muscles in those with LGMD-R2/LGMD2B. CONCLUSION We determined the prevalence of different LGMD subtypes in Southeast China, described the detailed clinical manifestations and distinct muscle MRI patterns of these LGMD subtypes and reported the frequent mutations and the cardiorespiratory involvement frequency in our cohort, all of which might facilitate the differential diagnosis of LGMDs, allowing more timely treatment and guiding future clinical trials.
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Affiliation(s)
- Feng Lin
- Department of Neurology and Institute of Neurology, The First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong Road, Fuzhou, 350005, Fujian, China
| | - Kang Yang
- Department of Neurology and Institute of Neurology, The First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong Road, Fuzhou, 350005, Fujian, China
| | - Xin Lin
- Department of Neurology and Institute of Neurology, The First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong Road, Fuzhou, 350005, Fujian, China
| | - Ming Jin
- Department of Neurology and Institute of Neurology, The First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong Road, Fuzhou, 350005, Fujian, China
- Fujian Key Laboratory of Molecular Neurology, Fuzhou, 350005, China
| | - Long Chen
- Department of Neurology and Institute of Neurology, The First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong Road, Fuzhou, 350005, Fujian, China
| | - Fu-Ze Zheng
- Department of Neurology and Institute of Neurology, The First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong Road, Fuzhou, 350005, Fujian, China
- Fujian Key Laboratory of Molecular Neurology, Fuzhou, 350005, China
| | - Liang-Liang Qiu
- Department of Neurology and Institute of Neurology, The First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong Road, Fuzhou, 350005, Fujian, China
- Fujian Key Laboratory of Molecular Neurology, Fuzhou, 350005, China
| | - Zhi-Xian Ye
- Department of Neurology and Institute of Neurology, The First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong Road, Fuzhou, 350005, Fujian, China
| | - Hai-Zhu Chen
- Department of Neurology and Institute of Neurology, The First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong Road, Fuzhou, 350005, Fujian, China
- Fujian Key Laboratory of Molecular Neurology, Fuzhou, 350005, China
| | - Min-Ting Lin
- Department of Neurology and Institute of Neurology, The First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong Road, Fuzhou, 350005, Fujian, China
- Fujian Key Laboratory of Molecular Neurology, Fuzhou, 350005, China
| | - Ning Wang
- Department of Neurology and Institute of Neurology, The First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong Road, Fuzhou, 350005, Fujian, China.
- Fujian Key Laboratory of Molecular Neurology, Fuzhou, 350005, China.
| | - Zhi-Qiang Wang
- Department of Neurology and Institute of Neurology, The First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong Road, Fuzhou, 350005, Fujian, China.
- Fujian Key Laboratory of Molecular Neurology, Fuzhou, 350005, China.
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Engelke K, Chaudry O, Gast L, Eldib MAB, Wang L, Laredo JD, Schett G, Nagel AM. Magnetic resonance imaging techniques for the quantitative analysis of skeletal muscle: State of the art. J Orthop Translat 2023; 42:57-72. [PMID: 37654433 PMCID: PMC10465967 DOI: 10.1016/j.jot.2023.07.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 07/04/2023] [Accepted: 07/19/2023] [Indexed: 09/02/2023] Open
Abstract
Background Magnetic resonance imaging (MRI) is the dominant 3D imaging modality to quantify muscle properties in skeletal muscle disorders, in inherited and acquired muscle diseases, and in sarcopenia, in cachexia and frailty. Methods This review covers T1 weighted and Dixon sequences, introduces T2 mapping, diffusion tensor imaging (DTI) and non-proton MRI. Technical concepts, strengths, limitations and translational aspects of these techniques are discussed in detail. Examples of clinical applications are outlined. For comparison 31P-and 13C-MR Spectroscopy are also addressed. Results MRI technology provides a rich toolset to assess muscle deterioration. In addition to classical measures such as muscle atrophy using T1 weighted imaging and fat infiltration using Dixon sequences, parameters characterizing inflammation from T2 maps, tissue sodium using non-proton MRI techniques or concentration or fiber architecture using diffusion tensor imaging may be useful for an even earlier diagnosis of the impairment of muscle quality. Conclusion Quantitative MRI provides new options for muscle research and clinical applications. Current limitations that also impair its more widespread use in clinical trials are lack of standardization, ambiguity of image segmentation and analysis approaches, a multitude of outcome parameters without a clear strategy which ones to use and the lack of normal data.
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Affiliation(s)
- Klaus Engelke
- Department of Medicine III, Friedrich-Alexander University of Erlangen-Nürnberg, University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Germany
- Institute of Medical Physics (IMP), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Henkestr. 91, 91052, Erlangen, Germany
- Clario Inc, Germany
| | - Oliver Chaudry
- Department of Medicine III, Friedrich-Alexander University of Erlangen-Nürnberg, University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Germany
| | - Lena Gast
- Institute of Radiology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), University Hospital Erlangen, Maximiliansplatz 3, 91054, Erlangen, Germany
| | | | - Ling Wang
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
| | - Jean-Denis Laredo
- Service d’Imagerie Médicale, Institut Mutualiste Montsouris & B3OA, UMR CNRS 7052, Inserm U1271 Université de Paris-Cité, Paris, France
| | - Georg Schett
- Department of Medicine III, Friedrich-Alexander University of Erlangen-Nürnberg, University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Germany
| | - Armin M. Nagel
- Institute of Radiology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), University Hospital Erlangen, Maximiliansplatz 3, 91054, Erlangen, Germany
- Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
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Pinto MJ, Fromes Y, Ackermann-Bonan I, Leturcq F, Verebi C, Romero NB, Stojkovic T. Muscle MRI as a Diagnostic Challenge in Emery-Dreifuss Muscular Dystrophy. J Neuromuscul Dis 2022; 9:649-654. [DOI: 10.3233/jnd-220823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Maria João Pinto
- Department of Neurology, Centro Hospitalar Universitário de São João, E.P.E., Porto, Portugal
- Department of Clinical Neurosciences and Mental Health, Faculty of Medicine, University of Porto, Portugal
| | - Yves Fromes
- Nuclear Magnetic Resonance Laboratory, Neuromuscular Investigation Center, Institute of Myology, Pitié-Salpêtrière Hospital, Paris, France
- Nuclear Magnetic Resonance Laboratory, CEA, DRF, IBFJ, Molecular Imaging Research Center, Paris, France
| | - Isabelle Ackermann-Bonan
- Nuclear Magnetic Resonance Laboratory, Neuromuscular Investigation Center, Institute of Myology, Pitié-Salpêtrière Hospital, Paris, France
- Nuclear Magnetic Resonance Laboratory, CEA, DRF, IBFJ, Molecular Imaging Research Center, Paris, France
| | - France Leturcq
- Department of Genomic Medicine and Systemic Diseases, APHP, University of Paris, Cochin Hospital, Paris, France
| | - Camille Verebi
- Department of Genomic Medicine and Systemic Diseases, APHP, University of Paris, Cochin Hospital, Paris, France
| | - Norma B. Romero
- Reference Center for Neuromuscular Disorders, APHP, Myology Institute, Pitié-Salpêtrière Hospital, Paris, France
- Centre de Recherche en Myologie, GHPitié-Salpêtrière, Sorbonne Université-InsermUMRS974, Paris, France
- Neuromuscular Morphology Unit, Institute of Myology, Pitié-Salpêtrière Hospital, Paris, France
| | - Tanya Stojkovic
- Reference Center for Neuromuscular Disorders, APHP, Myology Institute, Pitié-Salpêtrière Hospital, Paris, France
- Centre de Recherche en Myologie, GHPitié-Salpêtrière, Sorbonne Université-InsermUMRS974, Paris, France
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Matsuda N, Kobayashi S, Hasegawa O, Yoshida K, Kubo H, Ugawa Y, Kanai K. Subclinical involvement of the trunk muscles in idiopathic inflammatory myopathies. Acta Radiol Open 2022; 11:20584601221075796. [PMID: 35251701 PMCID: PMC8891869 DOI: 10.1177/20584601221075796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 01/09/2022] [Indexed: 12/03/2022] Open
Abstract
Background Whole-body magnetic resonance imaging (WB-MRI) is a useful tool for revealing the disease-specific distribution of affected muscles and clinically asymptomatic muscle involvements in idiopathic inflammatory myopathies (IIMs). Purpose To examine inflammatory changes in the systemic skeletal muscles, including the thoracoabdominal trunk, in IIMs using WB-MRI. Material and Methods We prospectively obtained WB-MRI axial images from 10 patients with IIMs, including antisynthetase syndrome (ASS), immune-mediated necrotizing myopathy (IMNM), sporadic inclusion body myositis, and myopathy associated with antimitochondrial antibody. We evaluated 108 systemic skeletal muscles in short-tau inversion recovery (STIR) images and rated changes in signal intensity using a semiquantitative scale. Correlations between STIR sum score, peak creatine kinase (CK) and muscle strength were examined. We also investigated the correlation between STIR sum score within the thoracoabdominal trunk and forced vital capacity. Results High STIR signal changes were frequently identified in asymptomatic and routinely unexamined muscles. Thoracoabdominal trunk muscles were frequently involved in ASS and IMNM. Peak CK was positively correlated with the STIR sum score (R2 = 0.62, p < .01). There was no significant correlation between the STIR sum score within the thoracoabdominal trunk and forced vital capacity. Conclusion WB-MRI can detect subclinical muscle inflammation in the systemic muscles including the trunk muscles. STIR sum score is positively correlated with serum peak CK level; therefore, it could be a biomarker of overall muscle inflammation.
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Affiliation(s)
- Nozomu Matsuda
- Department of Neurology, Fukushima Medical University, Fukushima, Japan
| | - Shunsuke Kobayashi
- Department of Neurology, Teikyo University School of Medicine, Tokyo, Japan
| | - Osamu Hasegawa
- Department of Radiology and Nuclear Medicine, Fukushima Medical University, Fukushima, Japan
| | - Kenji Yoshida
- Department of Neurology, Fukushima Medical University, Fukushima, Japan
| | - Hitoshi Kubo
- Advanced Clinical Research Center, Fukushima Medical University, Fukushima, Japan
- Department of Radiological Sciences, School of Health Sciences, Fukushima Medical University, Fukushima, Japan
| | - Yoshikazu Ugawa
- Department of Human Neurophysiology, Fukushima Medical University, Fukushima, Japan
| | - Kazuaki Kanai
- Department of Neurology, Fukushima Medical University, Fukushima, Japan
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Quantitative Muscle MRI in Patients with Neuromuscular Diseases-Association of Muscle Proton Density Fat Fraction with Semi-Quantitative Grading of Fatty Infiltration and Muscle Strength at the Thigh Region. Diagnostics (Basel) 2021; 11:diagnostics11061056. [PMID: 34201303 PMCID: PMC8230029 DOI: 10.3390/diagnostics11061056] [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: 04/16/2021] [Revised: 06/05/2021] [Accepted: 06/06/2021] [Indexed: 11/17/2022] Open
Abstract
(1) Background and Purpose: The skeletal muscles of patients suffering from neuromuscular diseases (NMD) are affected by atrophy, hypertrophy, fatty infiltration, and edematous changes. Magnetic resonance imaging (MRI) is an important tool for diagnosis and monitoring. Concerning fatty infiltration, T1-weighted or T2-weighted DIXON turbo spin echo (TSE) sequences enable a qualitative assessment of muscle involvement. To achieve higher comparability, semi-quantitative grading scales, such as the four-point Mercuri scale, are commonly applied. However, the evaluation remains investigator-dependent. Therefore, effort is being invested to develop quantitative MRI techniques for determination of imaging markers such as the proton density fat fraction (PDFF). The present work aims to assess the diagnostic value of PDFF in correlation to Mercuri grading and clinically determined muscle strength in patients with myotonic dystrophy type 2 (DM2), limb girdle muscular dystrophy type 2A (LGMD2A), and adult Pompe disease. (2) Methods: T2-weighted two-dimensional (2D) DIXON TSE and chemical shift encoding-based water-fat MRI were acquired in 13 patients (DM2: n = 5; LGMD2A: n = 5; Pompe disease: n = 3). Nine different thigh muscles were rated in all patients according to the Mercuri grading and segmented to extract PDFF values. Muscle strength was assessed according to the British Medical Research Council (BMRC) scale. For correlation analyses between Mercuri grading, muscle strength, and PDFF, the Spearman correlation coefficient (rs) was computed. (3) Results: Mean PDFF values ranged from 7% to 37% in adults with Pompe disease and DM2 and up to 79% in LGMD2A patients. In all three groups, a strong correlation of the Mercuri grading and PDFF values was observed for almost all muscles (rs > 0.70, p < 0.05). PDFF values correlated significantly to muscle strength for muscle groups responsible for knee flexion (rs = -0.80, p < 0.01). (4) Conclusion: In the small, investigated patient cohort, PDFF offers similar diagnostic precision as the clinically established Mercuri grading. Based on these preliminary data, PDFF could be further considered as an MRI-based biomarker in the assessment of fatty infiltration of muscle tissue in NMD. Further studies with larger patient cohorts are needed to advance PDFF as an MRI-based biomarker in NMD, with advantages such as its greater dynamic range, enabling the assessment of subtler changes, the amplified objectivity, and the potential of direct correlation to muscle function for selected muscles.
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Schlaeger S, Weidlich D, Klupp E, Montagnese F, Deschauer M, Schoser B, Bublitz S, Ruschke S, Zimmer C, Rummeny EJ, Kirschke JS, Karampinos DC. Water T 2 Mapping in Fatty Infiltrated Thigh Muscles of Patients With Neuromuscular Diseases Using a T 2 -Prepared 3D Turbo Spin Echo With SPAIR. J Magn Reson Imaging 2019; 51:1727-1736. [PMID: 31875343 DOI: 10.1002/jmri.27032] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2019] [Revised: 12/03/2019] [Accepted: 12/05/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Muscle water T2 (T2w ) has been proposed as a biomarker to monitor disease activity and therapy effectiveness in patients with neuromuscular diseases (NMD). Multi-echo spin-echo (MESE) is known to be affected by fatty infiltration. A T2 -prepared 3D turbo spin echo (TSE) is an alternative method for T2 mapping, but has been only applied in healthy muscles. PURPOSE To examine the performance of T2 -prepared 3D TSE in combination with spectral adiabatic inversion recovery (SPAIR) in measuring T2w in fatty infiltrated muscles based on simulations and in vivo measurements in thigh muscles of patients with NMD. STUDY TYPE Prospective. SUBJECTS One healthy volunteer, 34 NMD patients. FIELD STRENGTH/SEQUENCE T2 -prepared stimulated echo acquisition mode (STEAM) magnetic resonance spectroscopy (MRS), SPAIR STEAM MRS, and SPAIR T2 -prepared STEAM MRS were performed in the subcutaneous fat of a healthy volunteer's thigh. T2 mapping based on SPAIR 2D MESE and SPAIR T2 -prepared 3D TSE was performed in the NMD patients' thigh region. Multi-TE STEAM MRS was performed for measuring a reference T2w at different thigh locations. ASSESSMENT The behavior of the fat spectrum in the SPAIR T2 -prepared 3D TSE was simulated using Bloch simulations. The in vivo T2 results of the imaging methods were compared to the in vivo T2w MRS results. STATISTICAL TESTS Pearson correlation coefficient with slope and intercept, relative error. RESULTS The simulated T2 for the SPAIR T2 -prepared 3D TSE sequence remained constant within a relative error of not more than 4% up to a fat fraction of 80%. In vivo T2 values of SPAIR T2 -prepared 3D TSE were in good agreement with the T2w values of STEAM MRS (R = 0.86; slope = 1.12; intercept = -1.41 ms). In vivo T2 values of SPAIR 2D MESE showed large deviations from the T2w values of STEAM MRS (R = 0.14; slope = 0.32; intercept = 38.83 ms). DATA CONCLUSION The proposed SPAIR T2 -prepared 3D TSE shows reduced sensitivity to fatty infiltration for T2w mapping in the thigh muscles of NMD patients. LEVEL OF EVIDENCE 1 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2020;51:1727-1736.
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Affiliation(s)
- Sarah Schlaeger
- Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany.,Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Dominik Weidlich
- Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Elisabeth Klupp
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | | | - Marcus Deschauer
- Department of Neurology, Technical University of Munich, Munich, Germany
| | - Benedikt Schoser
- Friedrich-Baur-Institut, Ludwig Maximilian University, Munich, Germany
| | - Sarah Bublitz
- Department of Neurology, Technical University of Munich, Munich, Germany
| | - Stefan Ruschke
- Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Claus Zimmer
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Ernst J Rummeny
- Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Jan S Kirschke
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Dimitrios C Karampinos
- Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany
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Schlaeger S, Weidlich D, Klupp E, Montagnese F, Deschauer M, Schoser B, Bublitz S, Ruschke S, Zimmer C, Rummeny EJ, Kirschke JS, Karampinos DC. Decreased water T 2 in fatty infiltrated skeletal muscles of patients with neuromuscular diseases. NMR IN BIOMEDICINE 2019; 32:e4111. [PMID: 31180167 DOI: 10.1002/nbm.4111] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2018] [Revised: 03/07/2019] [Accepted: 03/17/2019] [Indexed: 05/22/2023]
Abstract
Quantitative imaging techniques are emerging in the field of magnetic resonance imaging of neuromuscular diseases (NMD). T2 of water (T2w ) is considered an important imaging marker to assess acute and chronic alterations of the muscle fibers, being generally interpreted as an indicator for "disease activity" in the muscle tissue. To validate the accuracy and robustness of quantitative imaging methods, 1 H magnetic resonance spectroscopy (MRS) can be used as a gold standard. The purpose of the present work was to investigate T2w of remaining muscle tissue in regions of higher proton density fat fraction (PDFF) in 40 patients with defined NMD using multi-TE single-voxel 1 H MRS. Patients underwent MR measurements on a 3 T system to perform a multi-TE single-voxel stimulated echo acquisition method (STEAM) MRS (TE = 11/15/20/25(/35) ms) in regions of healthy, edematous and fatty thigh muscle tissue. Muscle regions for MRS were selected based on T2 -weighted water and fat images of a two-echo 2D Dixon TSE. MRS results were confined to regions with qualitatively defined remaining muscle tissue without edema and high fat content, based on visual grading of the imaging data. The results showed decreased T2w values with increasing PDFF with R2 = 0.45 (p < 10-3 ) (linear fit) and with R2 = 0.51 (exponential fit). The observed dependence of T2w on PDFF should be considered when using T2w as a marker in NMD imaging and when performing single-voxel MRS for T2w in regions enclosing edematous, nonedematous and fatty infiltrated muscle tissue.
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Affiliation(s)
- Sarah Schlaeger
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
- Department of Diagnostic and Interventional of Neuroradiology, Technical University of Munich, Munich, Germany
| | - Dominik Weidlich
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | - Elisabeth Klupp
- Department of Diagnostic and Interventional of Neuroradiology, Technical University of Munich, Munich, Germany
| | - Federica Montagnese
- Friedrich-Baur-Institut, Department of Neurology, Ludwig-Maximilians-University, Munich, Germany
| | - Marcus Deschauer
- Department of Neurology, Technical University of Munich, Munich, Germany
| | - Benedikt Schoser
- Friedrich-Baur-Institut, Department of Neurology, Ludwig-Maximilians-University, Munich, Germany
| | - Sarah Bublitz
- Department of Neurology, Technical University of Munich, Munich, Germany
| | - Stefan Ruschke
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | - Claus Zimmer
- Department of Diagnostic and Interventional of Neuroradiology, Technical University of Munich, Munich, Germany
| | - Ernst J Rummeny
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | - Jan S Kirschke
- Department of Diagnostic and Interventional of Neuroradiology, Technical University of Munich, Munich, Germany
| | - Dimitrios C Karampinos
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
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10
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Leung DG. Advancements in magnetic resonance imaging-based biomarkers for muscular dystrophy. Muscle Nerve 2019; 60:347-360. [PMID: 31026060 DOI: 10.1002/mus.26497] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/23/2019] [Indexed: 12/26/2022]
Abstract
Recent years have seen steady progress in the identification of genetic muscle diseases as well as efforts to develop treatment for these diseases. Consequently, sensitive and objective new methods are required to identify and monitor muscle pathology. Magnetic resonance imaging offers multiple potential biomarkers of disease severity in the muscular dystrophies. This Review uses a pathology-based approach to examine the ways in which MRI and spectroscopy have been used to study muscular dystrophies. Methods that have been used to quantitate intramuscular fat, edema, fiber orientation, metabolism, fibrosis, and vascular perfusion are examined, and this Review describes how MRI can help diagnose these conditions and improve upon existing muscle biomarkers by detecting small increments of disease-related change. Important challenges in the implementation of imaging biomarkers, such as standardization of protocols and validating imaging measurements with respect to clinical outcomes, are also described.
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Affiliation(s)
- Doris G Leung
- Center for Genetic Muscle Disorders, Hugo W. Moser Research Institute at Kennedy Krieger Institute, 716 North Broadway, Room 411, Baltimore, Maryland, 21205.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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11
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T2-Weighted Dixon Turbo Spin Echo for Accelerated Simultaneous Grading of Whole-Body Skeletal Muscle Fat Infiltration and Edema in Patients With Neuromuscular Diseases. J Comput Assist Tomogr 2018; 42:574-579. [PMID: 29613984 DOI: 10.1097/rct.0000000000000723] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE The assessment of fatty infiltration and edema in the musculature of patients with neuromuscular diseases (NMDs) typically requires the separate performance of T1-weighted and fat-suppressed T2-weighted sequences. T2-weighted Dixon turbo spin echo (TSE) enables the generation of T2-weighted fat- and water-separated images, which can be used to assess both pathologies simultaneously. The present study examines the diagnostic performance of T2-weighted Dixon TSE compared with the standard sequences in 10 patients with NMDs and 10 healthy subjects. METHODS Whole-body magnetic resonance imaging was performed including T1-weighted Dixon fast field echo, T2-weighted short-tau inversion recovery, and T2-weighted Dixon TSE. Fatty infiltration and intramuscular edema were rated by 2 radiologists using visual semiquantitative rating scales. To assess intermethod and interrater agreement, weighted Cohen's κ coefficients were calculated. RESULTS The ratings of fatty infiltration showed high intermethod and high interrater agreement (T1-weighted Dixon fast field echo vs T2-weighted Dixon TSE fat image). The evaluation of edematous changes showed high intermethod and good interrater agreement (T2-weighted short-tau inversion recovery vs T2-weighted Dixon TSE water image). CONCLUSIONS T2-weighted Dixon TSE imaging is an alternative for accelerated simultaneous grading of whole-body skeletal muscle fat infiltration and edema in patients with NMDs.
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Thigh muscle segmentation of chemical shift encoding-based water-fat magnetic resonance images: The reference database MyoSegmenTUM. PLoS One 2018; 13:e0198200. [PMID: 29879128 PMCID: PMC5991744 DOI: 10.1371/journal.pone.0198200] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2017] [Accepted: 05/15/2018] [Indexed: 01/10/2023] Open
Abstract
Magnetic resonance imaging (MRI) can non-invasively assess muscle anatomy, exercise effects and pathologies with different underlying causes such as neuromuscular diseases (NMD). Quantitative MRI including fat fraction mapping using chemical shift encoding-based water-fat MRI has emerged for reliable determination of muscle volume and fat composition. The data analysis of water-fat images requires segmentation of the different muscles which has been mainly performed manually in the past and is a very time consuming process, currently limiting the clinical applicability. An automatization of the segmentation process would lead to a more time-efficient analysis. In the present work, the manually segmented thigh magnetic resonance imaging database MyoSegmenTUM is presented. It hosts water-fat MR images of both thighs of 15 healthy subjects and 4 patients with NMD with a voxel size of 3.2x2x4 mm3 with the corresponding segmentation masks for four functional muscle groups: quadriceps femoris, sartorius, gracilis, hamstrings. The database is freely accessible online at https://osf.io/svwa7/?view_only=c2c980c17b3a40fca35d088a3cdd83e2. The database is mainly meant as ground truth which can be used as training and test dataset for automatic muscle segmentation algorithms. The segmentation allows extraction of muscle cross sectional area (CSA) and volume. Proton density fat fraction (PDFF) of the defined muscle groups from the corresponding images and quadriceps muscle strength measurements/neurological muscle strength rating can be used for benchmarking purposes.
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13
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[Imaging of primary muscular diseases : What do neurologists expect from radiologists?]. Radiologe 2017; 57:1005-1011. [PMID: 28986620 DOI: 10.1007/s00117-017-0309-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Imaging, in particular magnetic resonance imaging (MRI), has in recent years increasingly become a crucial tool for the diagnostics of inherited and acquired muscular diseases. The aim of imaging in neuromuscular disorders goes beyond the detection and quantification of degenerative muscular changes, such as fatty degeneration and includes recognition of very early signs of muscular pathologies presenting as muscular edema. Therefore, imaging is a valuable diagnostic method to support the clinical diagnosis and to narrow down the differential diagnoses, leading to specific additional diagnostic tests in order to establish the correct diagnosis. Although advances in MRI hardware and technology have led to a faster, more accurate and advanced image acquisition allowing whole body examination in a feasible fashion, the standardization of image acquisition and interpretation remains a challenge. The aim of this review article is to address the important and clinically relevant issues concerning the role of imaging of neuromuscular diseases in order to facilitate a good interdisciplinary management for the diagnostics and monitoring of neuromuscular diseases.
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14
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Milad N, White Z, Tehrani AY, Sellers S, Rossi FMV, Bernatchez P. Increased plasma lipid levels exacerbate muscle pathology in the mdx mouse model of Duchenne muscular dystrophy. Skelet Muscle 2017; 7:19. [PMID: 28899419 PMCID: PMC5596936 DOI: 10.1186/s13395-017-0135-9] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2017] [Accepted: 07/28/2017] [Indexed: 01/11/2023] Open
Abstract
Background Duchenne muscular dystrophy (DMD) is caused by loss of dystrophin expression and leads to severe ambulatory and cardiac function decline. However, the dystrophin-deficient mdx murine model of DMD only develops a very mild form of the disease. Our group and others have shown vascular abnormalities in animal models of MD, a likely consequence of the fact that blood vessels express the same dystrophin-associated glycoprotein complex (DGC) proteins as skeletal muscles. Methods To test the blood vessel contribution to muscle damage in DMD, mdx4cv mice were given elevated lipid levels via apolipoprotein E (ApoE) gene knockout combined with normal chow or lipid-rich Western diets. Ambulatory function and heart function (via echocardiogram) were assessed at 4 and 7 months of age. After sacrifice, muscle histology and aortic staining were used to assess muscle pathology and atherosclerosis development, respectively. Plasma levels of total cholesterol, high-density lipoprotein (HDL), triglycerides, and creatine kinase (CK) were also measured. Results Although there was an increase in left ventricular heart volume in mdx-ApoE mice compared to that in mdx mice, parameters of heart function were not affected. Compared with wild-type and ApoE-null, only mdx-ApoE KO mice showed significant ambulatory dysfunction. Despite no significant difference in plasma CK, histological analyses revealed that elevated plasma lipids in chow- and Western diet-fed mdx-ApoE mice was associated with severe exacerbation of muscle pathology compared to mdx mice: significant increase in myofiber damage and fibrofatty replacement in the gastrocnemius and triceps brachii muscles, more reminiscent of human DMD pathology. Finally, although both ApoE and mdx-ApoE groups displayed increased plasma lipids, mdx-ApoE exhibited atherosclerotic plaque deposition equal to or less than that of ApoE mice. Conclusions Since others have shown that lipid abnormalities correlate with DMD severity, our data suggest that plasma lipids could be primary contributors to human DMD severity and that the notoriously mild phenotype of mdx mice might be attributable in part to their endogenously low plasma lipid profiles. Hence, DMD patients may benefit from lipid-lowering and vascular-targeted therapies. Electronic supplementary material The online version of this article (10.1186/s13395-017-0135-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Nadia Milad
- Department of Anaesthesiology, Pharmacology & Therapeutics, University of British Columbia (UBC), 217-2176 Health Sciences Mall, Vancouver, British Columbia, V6T 1Z3, Canada.,Centre for Heart and Lung Innovation, St. Paul's Hospital, 1081 Burrard Street, Rm 166, Vancouver, British Columbia, Canada
| | - Zoe White
- Department of Anaesthesiology, Pharmacology & Therapeutics, University of British Columbia (UBC), 217-2176 Health Sciences Mall, Vancouver, British Columbia, V6T 1Z3, Canada.,Centre for Heart and Lung Innovation, St. Paul's Hospital, 1081 Burrard Street, Rm 166, Vancouver, British Columbia, Canada
| | - Arash Y Tehrani
- Department of Anaesthesiology, Pharmacology & Therapeutics, University of British Columbia (UBC), 217-2176 Health Sciences Mall, Vancouver, British Columbia, V6T 1Z3, Canada.,Centre for Heart and Lung Innovation, St. Paul's Hospital, 1081 Burrard Street, Rm 166, Vancouver, British Columbia, Canada
| | - Stephanie Sellers
- Department of Anaesthesiology, Pharmacology & Therapeutics, University of British Columbia (UBC), 217-2176 Health Sciences Mall, Vancouver, British Columbia, V6T 1Z3, Canada.,Centre for Heart and Lung Innovation, St. Paul's Hospital, 1081 Burrard Street, Rm 166, Vancouver, British Columbia, Canada
| | - Fabio M V Rossi
- Department of Medical Genetics, Centre for Biomedical Research, University of British Columbia, 2222 Health Sciences Mall, Vancouver, British Columbia, Canada
| | - Pascal Bernatchez
- Department of Anaesthesiology, Pharmacology & Therapeutics, University of British Columbia (UBC), 217-2176 Health Sciences Mall, Vancouver, British Columbia, V6T 1Z3, Canada. .,Centre for Heart and Lung Innovation, St. Paul's Hospital, 1081 Burrard Street, Rm 166, Vancouver, British Columbia, Canada.
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Klupp E, Weidlich D, Schlaeger S, Baum T, Cervantes B, Deschauer M, Kooijman H, Rummeny EJ, Zimmer C, Kirschke JS, Karampinos DC. B1-insensitive T2 mapping of healthy thigh muscles using a T2-prepared 3D TSE sequence. PLoS One 2017; 12:e0171337. [PMID: 28196133 PMCID: PMC5308846 DOI: 10.1371/journal.pone.0171337] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2016] [Accepted: 01/18/2017] [Indexed: 11/29/2022] Open
Abstract
Purpose To propose a T2-prepared 3D turbo spin echo (T2prep 3D TSE) sequence for B1-insensitive skeletal muscle T2 mapping and compare its performance with 2D and 3D multi-echo spin echo (MESE) for T2 mapping in thigh muscles of healthy subjects. Methods The performance of 2D MESE, 3D MESE and the proposed T2prep 3D TSE in the presence of transmit B1 and B0 inhomogeneities was first simulated. The thigh muscles of ten young and healthy subjects were then scanned on a 3 T system and T2 mapping was performed using the three sequences. Transmit B1-maps and proton density fat fraction (PDFF) maps were also acquired. The subjects were scanned three times to assess reproducibility. T2 values were compared among sequences and their sensitivity to B1 inhomogeneities was compared to simulation results. Correlations were also determined between T2 values, PDFF and B1. Results The left rectus femoris muscle showed the largest B1 deviations from the nominal value (from 54.2% to 92.9%). Significant negative correlations between T2 values and B1 values were found in the left rectus femoris muscle for 3D MESE (r = -0.72, p<0.001) and 2D MESE (r = -0.71, p<0.001), but not for T2prep 3D TSE (r = -0.32, p = 0.09). Reproducibility of T2 expressed by root mean square coefficients of variation (RMSCVs) were equal to 3.5% in T2prep 3D TSE, 2.6% in 3D MESE and 2.4% in 2D MESE. Significant differences between T2 values of 3D sequences (T2prep 3D TSE and 3D MESE) and 2D MESE were found in all muscles with the highest values for 2D MESE (p<0.05). No significant correlations were found between PDFF and T2 values. Conclusion A strong influence of an inhomogeneous B1 field on the T2 values of 3D MESE and 2D MESE was shown, whereas the proposed T2prep 3D TSE gives B1-insensitive and reproducible thigh muscle T2 mapping.
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Affiliation(s)
- Elisabeth Klupp
- Institut für Diagnostische und Interventionelle Neuroradiologie, Technische Universität München, Munich, Germany
- * E-mail:
| | - Dominik Weidlich
- Institut für Diagnostische und Interventionelle Radiologie, Technische Universität München, Munich, Germany
| | - Sarah Schlaeger
- Institut für Diagnostische und Interventionelle Neuroradiologie, Technische Universität München, Munich, Germany
| | - Thomas Baum
- Institut für Diagnostische und Interventionelle Radiologie, Technische Universität München, Munich, Germany
| | - Barbara Cervantes
- Institut für Diagnostische und Interventionelle Radiologie, Technische Universität München, Munich, Germany
| | - Marcus Deschauer
- Neurologische Klinik und Poliklinik, Technische Universität München, Munich, Germany
| | | | - Ernst J. Rummeny
- Institut für Diagnostische und Interventionelle Radiologie, Technische Universität München, Munich, Germany
| | - Claus Zimmer
- Institut für Diagnostische und Interventionelle Neuroradiologie, Technische Universität München, Munich, Germany
| | - Jan S. Kirschke
- Institut für Diagnostische und Interventionelle Neuroradiologie, Technische Universität München, Munich, Germany
| | - Dimitrios C. Karampinos
- Institut für Diagnostische und Interventionelle Radiologie, Technische Universität München, Munich, Germany
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16
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Gerevini S, Scarlato M, Maggi L, Cava M, Caliendo G, Pasanisi B, Falini A, Previtali SC, Morandi L. Muscle MRI findings in facioscapulohumeral muscular dystrophy. Eur Radiol 2015; 26:693-705. [DOI: 10.1007/s00330-015-3890-1] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2015] [Accepted: 06/10/2015] [Indexed: 11/30/2022]
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17
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Chambers O, Milenković J, Pražnikar A, Tasič JF. Computer-based assessment for facioscapulohumeral dystrophy diagnosis. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2015; 120:37-48. [PMID: 25910520 DOI: 10.1016/j.cmpb.2015.03.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2014] [Revised: 02/27/2015] [Accepted: 03/23/2015] [Indexed: 06/04/2023]
Abstract
The paper presents a computer-based assessment for facioscapulohumeral dystrophy (FSHD) diagnosis through characterisation of the fat and oedema percentages in the muscle region. A novel multi-slice method for the muscle-region segmentation in the T1-weighted magnetic resonance images is proposed using principles of the live-wire technique to find the path representing the muscle-region border. For this purpose, an exponential cost function is used that incorporates the edge information obtained after applying the edge-enhancement algorithm formerly designed for the fingerprint enhancement. The difference between the automatic segmentation and manual segmentation performed by a medical specialists is characterised using the Zijdenbos similarity index, indicating a high accuracy of the proposed method. Finally, the fat and oedema are quantified from the muscle region in the T1-weighted and T2-STIR magnetic resonance images, respectively, using the fuzzy c-mean clustering approach for 10 FSHD patients.
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Affiliation(s)
- O Chambers
- Institute "Jožef Stefan", Jamova cesta 39, 1000 Ljubljana, Slovenia.
| | - J Milenković
- University of Ljubljana, Faculty of Electrical Engineering, Tržaška cesta 25, 1000 Ljubljana, Slovenia; Faculty of Medicine, Vražov trg 2, 1000 Ljubljana,Slovenia
| | - A Pražnikar
- University Medical Centre of Ljubljana, Department of Neurology, Zaloška cesta 2, 1000 Ljubljana, Slovenia
| | - J F Tasič
- University of Ljubljana, Faculty of Electrical Engineering, Tržaška cesta 25, 1000 Ljubljana, Slovenia
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Zheng Y, Liu L, Wang L, Xiao J, Wang Z, Lv H, Zhang W, Yuan Y. Magnetic resonance imaging changes of thigh muscles in myopathy with antibodies to signal recognition particle. Rheumatology (Oxford) 2014; 54:1017-24. [PMID: 25417246 DOI: 10.1093/rheumatology/keu422] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2014] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE The aim of this study was to evaluate muscle MRI changes and the role of MRI in monitoring therapy in patients with myopathy associated with antibodies to signal recognition particle (anti-SRP myopathy). METHODS We identified 12 patients with anti-SRP myopathy [6 females and 6 males; mean age of onset 38.5 years (s.d. 12.4), mean duration 22.8 months (s.d. 20.6). The main symptoms were proximal limb muscle weakness. Mean serum creatine kinase levels were moderately increased. Muscle biopsies revealed necrotizing myopathy in all patients, with obvious connective tissue proliferation in five patients and a single focus of lymphocytic infiltration in the endomysium in one. The myositis disease activity assessment (MYOACT) visual analogue scales scores were assessed. Muscle MRI was performed through the thighs. All patients were treated with corticosteroids and other immunosuppressive drugs. RESULTS MRI revealed fatty infiltration and oedema in the thigh muscles of all 12 patients. Prominent fatty infiltration was present in 4 of the 12 patients. The hamstrings and adductor magnus were the most severely infiltrated and the quadriceps femoris the least. Obvious oedema was observed in 10 of the 12 patients, the most severely affected muscles being the vastus lateralis, rectus femoris, biceps femoris and adductor magnus, with relative sparing of the vastus intermedius. The degree of oedema was not correlated with creatine kinase levels or MYOACT scores. The four patients with striking fatty infiltration were refractory to therapy. CONCLUSION MRI of the thigh muscles shows a distinct pattern of oedema and fatty infiltration and can be used to monitor the treatment of patients with anti-SRP myopathy.
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Affiliation(s)
- Yiming Zheng
- Department of Neurology and Department of Radiology, Peking University First Hospital, Peking, China
| | - Linlin Liu
- Department of Neurology and Department of Radiology, Peking University First Hospital, Peking, China
| | - Lu Wang
- Department of Neurology and Department of Radiology, Peking University First Hospital, Peking, China
| | - Jiangxi Xiao
- Department of Neurology and Department of Radiology, Peking University First Hospital, Peking, China
| | - Zhaoxia Wang
- Department of Neurology and Department of Radiology, Peking University First Hospital, Peking, China
| | - He Lv
- Department of Neurology and Department of Radiology, Peking University First Hospital, Peking, China
| | - Wei Zhang
- Department of Neurology and Department of Radiology, Peking University First Hospital, Peking, China
| | - Yun Yuan
- Department of Neurology and Department of Radiology, Peking University First Hospital, Peking, China
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Morrow JM, Matthews E, Raja Rayan DL, Fischmann A, Sinclair CDJ, Reilly MM, Thornton JS, Hanna MG, Yousry TA. Muscle MRI reveals distinct abnormalities in genetically proven non-dystrophic myotonias. Neuromuscul Disord 2013; 23:637-46. [PMID: 23810313 PMCID: PMC3744809 DOI: 10.1016/j.nmd.2013.05.001] [Citation(s) in RCA: 56] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2013] [Revised: 04/05/2013] [Accepted: 05/03/2013] [Indexed: 01/07/2023]
Abstract
We assessed the presence, frequency and pattern of MRI abnormalities in non-dystrophic myotonia patients. We reviewed T1-weighted and STIR (short-tau-inversion-recovery) 3T MRI sequences of lower limb muscles at thigh and calf level in 21 patients with genetically confirmed non-dystrophic myotonia: 11 with CLCN1 mutations and 10 with SCN4A mutations, and 19 healthy volunteers. The MRI examinations of all patients showed hyperintensity within muscles on either T1-weighted or STIR images. Mild extensive or marked T1-weighted changes were noted in 10/21 patients and no volunteers. Muscles in the thigh were equally likely to be affected but in the calf there was sparing of tibialis posterior. Oedema was common in calf musculature especially in the medial gastrocnemius with STIR hyperintensity observed in 18/21 patients. In 10/11 CLCN1 patients this included a previously unreported “central stripe”, also present in 3/10 SCN4A patients but no volunteers. Degree of fatty infiltration correlated with age (rho = 0.46, p < 0.05). Muscle MRI is frequently abnormal in non-dystrophic myotonia providing evidence of fatty infiltration and/or oedema. The pattern is distinct from other myotonic disorders; in particular the “central stripe” has not been reported in other conditions. Correlations with clinical parameters suggest a potential role for MRI as a biomarker.
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Affiliation(s)
- Jasper M Morrow
- MRC Centre for Neuromuscular Diseases, Department of Molecular Neurosciences, UCL Institute of Neurology, London, UK.
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Masciullo M, Iannaccone E, Bianchi MLE, Santoro M, Conte G, Modoni A, Monforte M, Tasca G, Laschena F, Ricci E, Silvestri G. Myotonic dystrophy type 1 and de novo FSHD mutation double trouble: a clinical and muscle MRI study. Neuromuscul Disord 2013; 23:427-31. [PMID: 23466272 DOI: 10.1016/j.nmd.2013.02.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2012] [Revised: 11/05/2012] [Accepted: 02/01/2013] [Indexed: 12/17/2022]
Abstract
Here we describe the first case of myotonic dystrophy type 1 (DM1) associated with facio-scapulo-humeral dystrophy (FSHD). From a clinical point of view, the patient displayed a pattern of muscle involvement reminiscent of both disorders, including hand-grip myotonia, facial, axial and distal limbs muscle weakness as well as a bilateral winged scapula associated with atrophy of the pectoralis major muscle and lumbar lordosis; pelvic muscles were mostly spared. An extensive muscle MRI assessment including neck, shoulder, abdominal, pelvic and lower limb muscles documented radiological features typical of DM1 and FSDH. Molecular genetic studies confirmed that the proband carried both a pathologically expanded DMPK allele, inherited from his father, and a de novo shortened D4Z4 repeat fragment at 4q35 locus.
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