Literature DB >> 27888415

Magnetic resonance imaging patterns of muscle involvement in genetic muscle diseases: a systematic review.

Doris G Leung1,2.   

Abstract

A growing body of the literature supports the use of magnetic resonance imaging as a potential biomarker for disease severity in the hereditary myopathies. We performed a systematic review of the medical literature to evaluate patterns of fat infiltration observed in magnetic resonance imaging studies of muscular dystrophy and congenital myopathy. Searches were performed using MEDLINE, EMBASE, and grey literature databases. Studies that described fat infiltration of muscles in patients with muscular dystrophy or congenital myopathy were selected for full-length review. Data on preferentially involved or spared muscles were extracted for analysis. A total of 2172 titles and abstracts were screened, and 70 publications met our criteria for inclusion in the systematic review. There were 23 distinct genetic disorders represented in this analysis. In most studies, preferential involvement and sparing of specific muscles were reported. We conclude that magnetic resonance imaging studies can be used to identify distinct patterns of muscle involvement in the hereditary myopathies. However, larger studies and standardized methods of reporting are needed to develop imaging as a diagnostic tool in these diseases.

Entities:  

Keywords:  Congenital myopathy; Distal myopathy; Magnetic resonance imaging; Muscular dystrophy

Mesh:

Year:  2016        PMID: 27888415      PMCID: PMC5445016          DOI: 10.1007/s00415-016-8350-6

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  88 in total

1.  Muscle MRI findings in facioscapulohumeral muscular dystrophy.

Authors:  Simonetta Gerevini; Marina Scarlato; Lorenzo Maggi; Mariangela Cava; Giandomenico Caliendo; Barbara Pasanisi; Andrea Falini; Stefano Carlo Previtali; Lucia Morandi
Journal:  Eur Radiol       Date:  2015-06-27       Impact factor: 5.315

2.  Magnetic resonance imaging of muscle in congenital myopathies associated with RYR1 mutations.

Authors:  Heinz Jungbluth; Mark R Davis; Clemens Müller; Serena Counsell; Joanna Allsop; Arijit Chattopadhyay; Sonia Messina; Eugenio Mercuri; Nigel G Laing; Caroline A Sewry; Graeme Bydder; Francesco Muntoni
Journal:  Neuromuscul Disord       Date:  2004-12       Impact factor: 4.296

3.  Muscle MRI in Duchenne muscular dystrophy: Evidence of a distinctive pattern.

Authors:  Kiran Polavarapu; Mahadevappa Manjunath; Veeramani Preethish-Kumar; Deepha Sekar; Seena Vengalil; PriyaTreesa Thomas; Talakad N Sathyaprabha; Rose Dawn Bharath; Atchayaram Nalini
Journal:  Neuromuscul Disord       Date:  2016-09-05       Impact factor: 4.296

4.  MRI of normal and pathologic skeletal muscle.

Authors:  W A Murphy; W G Totty; J E Carroll
Journal:  AJR Am J Roentgenol       Date:  1986-03       Impact factor: 3.959

5.  Muscle magnetic resonance imaging in patients with congenital muscular dystrophy and Ullrich phenotype.

Authors:  E Mercuri; C Cini; A Pichiecchio; J Allsop; S Counsell; Z Zolkipli; S Messina; M Kinali; S C Brown; C Jimenez; M Brockington; Y Yuva; C A Sewry; F Muntoni
Journal:  Neuromuscul Disord       Date:  2003-09       Impact factor: 4.296

6.  Effectiveness of diffusion tensor imaging in assessing disease severity in Duchenne muscular dystrophy: preliminary study.

Authors:  Skorn Ponrartana; Leigh Ramos-Platt; Tishya Anne Leong Wren; Houchun Harry Hu; Thomas Gardner Perkins; Jonathan Mawlin Chia; Vicente Gilsanz
Journal:  Pediatr Radiol       Date:  2014-09-23

7.  Whole-body high-field MRI shows no skeletal muscle degeneration in young patients with recessive myotonia congenita.

Authors:  C Kornblum; G G Lutterbey; B Czermin; J Reimann; J-C von Kleist-Retzow; K Jurkat-Rott; M P Wattjes
Journal:  Acta Neurol Scand       Date:  2009-12-28       Impact factor: 3.209

8.  Improving highly accelerated fat fraction measurements for clinical trials in muscular dystrophy: origin and quantitative effect of R2* changes.

Authors:  Thomas Loughran; David M Higgins; Michelle McCallum; Anna Coombs; Volker Straub; Kieren G Hollingsworth
Journal:  Radiology       Date:  2015-01-07       Impact factor: 11.105

9.  Distinct disease phases in muscles of facioscapulohumeral dystrophy patients identified by MR detected fat infiltration.

Authors:  Barbara H Janssen; Nicoline B M Voet; Christine I Nabuurs; Hermien E Kan; Jacky W J de Rooy; Alexander C Geurts; George W Padberg; Baziel G M van Engelen; Arend Heerschap
Journal:  PLoS One       Date:  2014-01-14       Impact factor: 3.240

10.  Upper girdle imaging in facioscapulohumeral muscular dystrophy.

Authors:  Giorgio Tasca; Mauro Monforte; Elisabetta Iannaccone; Francesco Laschena; Pierfrancesco Ottaviani; Emanuele Leoncini; Stefania Boccia; Giuliana Galluzzi; Marco Pelliccioni; Marcella Masciullo; Roberto Frusciante; Eugenio Mercuri; Enzo Ricci
Journal:  PLoS One       Date:  2014-06-16       Impact factor: 3.240

View more
  13 in total

Review 1.  Advancements in magnetic resonance imaging-based biomarkers for muscular dystrophy.

Authors:  Doris G Leung
Journal:  Muscle Nerve       Date:  2019-05-14       Impact factor: 3.217

2.  Histogram analysis derived from apparent diffusion coefficient (ADC) is more sensitive to reflect serological parameters in myositis than conventional ADC analysis.

Authors:  Hans Jonas Meyer; Alexander Emmer; Malte Kornhuber; Alexey Surov
Journal:  Br J Radiol       Date:  2018-02-20       Impact factor: 3.039

3.  Magnetic resonance imaging in facioscapulohumeral muscular dystrophy.

Authors:  Doris G Leung
Journal:  Muscle Nerve       Date:  2018-01-23       Impact factor: 3.217

Review 4.  MR imaging of inherited myopathies: a review and proposal of imaging algorithms.

Authors:  Laís Uyeda Aivazoglou; Julio Brandão Guimarães; Thomas M Link; Maria Alice Freitas Costa; Fabiano Nassar Cardoso; Bruno de Mattos Lombardi Badia; Igor Braga Farias; Wladimir Bocca Vieira de Rezende Pinto; Paulo Victor Sgobbi de Souza; Acary Souza Bulle Oliveira; Alzira Alves de Siqueira Carvalho; André Yui Aihara; Artur da Rocha Corrêa Fernandes
Journal:  Eur Radiol       Date:  2021-04-21       Impact factor: 5.315

5.  Ambulatory Duchenne muscular dystrophy children: cross-sectional correlation between function, quantitative muscle ultrasound and MRI.

Authors:  Hala Abdulhady; Hossam M Sakr; Nermine S Elsayed; Tamer A El-Sobky; Nagia Fahmy; Amr M Saadawy; Heba Elsedfy
Journal:  Acta Myol       Date:  2022-03-31

6.  Regional variation of thigh muscle fat infiltration in patients with neuromuscular diseases compared to healthy controls.

Authors:  Tobias Greve; Egon Burian; Agnes Zoffl; Georg Feuerriegel; Sarah Schlaeger; Michael Dieckmeyer; Nico Sollmann; Elisabeth Klupp; Dominik Weidlich; Stephanie Inhuber; Maximilian Löffler; Federica Montagnese; Marcus Deschauer; Benedikt Schoser; Sarah Bublitz; Claus Zimmer; Dimitrios C Karampinos; Jan S Kirschke; Thomas Baum
Journal:  Quant Imaging Med Surg       Date:  2021-06

7.  Muscle MRI characteristic pattern for late-onset TK2 deficiency diagnosis.

Authors:  Cristina Domínguez-González; Roberto Fernández-Torrón; Ursula Moore; Carlos Pablo de Fuenmayor-Fernández de la Hoz; Beatriz Vélez-Gómez; Juan Antonio Cabezas; Jorge Alonso-Pérez; Laura González-Mera; Montse Olivé; Jorge García-García; Germán Moris; Juan Carlos León Hernández; Nuria Muelas; Emilia Servian-Morilla; Miguel A Martin; Jordi Díaz-Manera; Carmen Paradas
Journal:  J Neurol       Date:  2022-03-14       Impact factor: 6.682

8.  Whole-body muscle MRI of patients with MATR3-associated distal myopathy reveals a distinct pattern of muscular involvement and highlights the value of whole-body examination.

Authors:  Alexander Mensch; Torsten Kraya; Felicitas Koester; Tobias Müller; Dietrich Stoevesandt; Stephan Zierz
Journal:  J Neurol       Date:  2020-05-02       Impact factor: 4.849

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

Authors:  Karlien Mul; Corinne G C Horlings; Sanne C C Vincenten; Nicol C Voermans; Baziel G M van Engelen; Nens van Alfen
Journal:  J Neurol       Date:  2018-09-06       Impact factor: 4.849

10.  Associations between apparent diffusion coefficient and electromyography parameters in myositis-A preliminary study.

Authors:  Hans-Jonas Meyer; Alexander Emmer; Malte Kornhuber; Alexey Surov
Journal:  Brain Behav       Date:  2018-03-30       Impact factor: 2.708

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.