Literature DB >> 31026060

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

Doris G Leung1,2.   

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.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  magnetic resonance imaging; magnetic resonance spectroscopy; muscular dystrophy; outcome measures; quantitative imaging; skeletal muscle biomarkers

Mesh:

Year:  2019        PMID: 31026060      PMCID: PMC8132307          DOI: 10.1002/mus.26497

Source DB:  PubMed          Journal:  Muscle Nerve        ISSN: 0148-639X            Impact factor:   3.217


  123 in total

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Authors:  Douglas W Goodwin
Journal:  Rheum Dis Clin North Am       Date:  2011-05       Impact factor: 2.670

2.  Evaluation of 2-point, 3-point, and 6-point Dixon magnetic resonance imaging with flexible echo timing for muscle fat quantification.

Authors:  Alexandra Grimm; Heiko Meyer; Marcel D Nickel; Mathias Nittka; Esther Raithel; Oliver Chaudry; Andreas Friedberger; Michael Uder; Wolfgang Kemmler; Harald H Quick; Klaus Engelke
Journal:  Eur J Radiol       Date:  2018-04-12       Impact factor: 3.528

Review 3.  Emerging Strategies in the Treatment of Duchenne Muscular Dystrophy.

Authors:  Perry B Shieh
Journal:  Neurotherapeutics       Date:  2018-10       Impact factor: 7.620

4.  Skeletal muscle water T2 as a biomarker of disease status and exercise effects in patients with Duchenne muscular dystrophy.

Authors:  Ami Mankodi; Noura Azzabou; Thomas Bulea; Harmen Reyngoudt; Hirity Shimellis; Yupeng Ren; Eunhee Kim; Kenneth H Fischbeck; Pierre G Carlier
Journal:  Neuromuscul Disord       Date:  2017-04-28       Impact factor: 4.296

5.  Quantitative Skeletal Muscle MRI: Part 2, MR Spectroscopy and T2 Relaxation Time Mapping-Comparison Between Boys With Duchenne Muscular Dystrophy and Healthy Boys.

Authors:  Hee Kyung Kim; Suraj Serai; Diana Lindquist; Arnold C Merrow; Paul S Horn; Dong Hoon Kim; Brenda L Wong
Journal:  AJR Am J Roentgenol       Date:  2015-08       Impact factor: 3.959

6.  Biochemical characterization of muscle tissue of limb girdle muscular dystrophy: an 1H and 13C NMR study.

Authors:  Uma Sharma; Surinder Atri; M C Sharma; Chitra Sarkar; N R Jagannathan
Journal:  NMR Biomed       Date:  2003-06       Impact factor: 4.044

7.  Magnetic resonance measurement of muscle T2, fat-corrected T2 and fat fraction in the assessment of idiopathic inflammatory myopathies.

Authors:  Lawrence Yao; Adrienne L Yip; Joseph A Shrader; Sepehr Mesdaghinia; Rita Volochayev; Anna V Jansen; Frederick W Miller; Lisa G Rider
Journal:  Rheumatology (Oxford)       Date:  2015-09-27       Impact factor: 7.580

8.  Longitudinal measurements of MRI-T2 in boys with Duchenne muscular dystrophy: effects of age and disease progression.

Authors:  R J Willcocks; I A Arpan; S C Forbes; D J Lott; C R Senesac; E Senesac; J Deol; W T Triplett; C Baligand; M J Daniels; H L Sweeney; G A Walter; K Vandenborne
Journal:  Neuromuscul Disord       Date:  2014-01-11       Impact factor: 4.296

9.  Myocardial fibrosis in patients with myotonic dystrophy type 1: a cardiovascular magnetic resonance study.

Authors:  Helle Petri; Kiril Aleksov Ahtarovski; Niels Vejlstrup; John Vissing; Nanna Witting; Lars Køber; Henning Bundgaard
Journal:  J Cardiovasc Magn Reson       Date:  2014-08-01       Impact factor: 5.364

10.  Spatially localized phosphorous metabolism of skeletal muscle in Duchenne muscular dystrophy patients: 24-month follow-up.

Authors:  M T Hooijmans; N Doorenweerd; C Baligand; J J G M Verschuuren; I Ronen; E H Niks; A G Webb; H E Kan
Journal:  PLoS One       Date:  2017-08-01       Impact factor: 3.240

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  3 in total

Review 1.  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

2.  Combination of Quantitative MRI Fat Fraction and Texture Analysis to Evaluate Spastic Muscles of Children With Cerebral Palsy.

Authors:  Tugba Akinci D'Antonoli; Francesco Santini; Xeni Deligianni; Meritxell Garcia Alzamora; Erich Rutz; Oliver Bieri; Reinald Brunner; Claudia Weidensteiner
Journal:  Front Neurol       Date:  2021-03-22       Impact factor: 4.003

3.  Utilization of T1-Mapping for the pelvic and thigh muscles in Duchenne Muscular Dystrophy: a quantitative biomarker for disease involvement and correlation with clinical assessments.

Authors:  Fei Peng; Huayan Xu; Yu Song; Ke Xu; Shuhao Li; Xiaotang Cai; Yingkun Guo; Lianggeng Gong
Journal:  BMC Musculoskelet Disord       Date:  2022-07-16       Impact factor: 2.562

  3 in total

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