Literature DB >> 17885451

Magnetic resonance imaging of skeletal muscle.

Martin Koltzenburg1, Tarek Yousry.   

Abstract

PURPOSE OF REVIEW: Clinical investigations of neuromuscular diseases routinely involve genetic, neurophysiological, biochemical and histopathological methods. More recently, various magnetic resonance imaging techniques have become available and extended the differential diagnostic possibilities. RECENT
FINDINGS: Using magnetic resonance imaging it is now possible to quantify muscle volume in selected body regions and measure wasting and exercise-induced muscle hypertrophy. Evidence is forthcoming that many hereditary myopathies are characterized by distinct patterns of muscle degeneration and this helps in selecting other relevant genetic and biochemical investigations. With diffusion-weighted tensor imaging it is possible to identify the microstructure of normal and diseased muscles. Arterial spin labelling is an emerging non-invasive tool to assess blood-flow changes in individual muscles. Magnetic resonance spectroscopy now provides an exciting opportunity to visualize metabolic changes and the pathophysiologically relevant cellular perturbations in muscle channelopathies affecting the muscle-specific sodium-channel isoform Na(v)1.4.
SUMMARY: Magnetic resonance imaging supplements investigations for the differential diagnosis of neuromuscular diseases. An advantage over routine neurophysiological or histopathological methods is that they are operator-independent, non-invasive and painless. Magnetic resonance imaging also has the advantage of providing a lasting detailed topographical picture of regional variations and allows robust measurements of muscle volume and various functional parameters.

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Year:  2007        PMID: 17885451     DOI: 10.1097/WCO.0b013e3282efc322

Source DB:  PubMed          Journal:  Curr Opin Neurol        ISSN: 1350-7540            Impact factor:   5.710


  10 in total

1.  Magnetic resonance imaging of lower limb musculature in acute motor axonal neuropathy.

Authors:  José Berciano; Elena Gallardo; José Luis Fernández-Torre; Vicente González-Quintanilla; Jon Infante
Journal:  J Neurol       Date:  2011-11-23       Impact factor: 4.849

2.  The diffusion tensor imaging toolbox.

Authors:  Jeffry R Alger
Journal:  J Neurosci       Date:  2012-05-30       Impact factor: 6.167

3.  The role of MRI in musculoskeletal practice: a clinical perspective.

Authors:  Gail Dean Deyle
Journal:  J Man Manip Ther       Date:  2011-08

4.  Quantifying myofiber integrity using diffusion MRI and random permeable barrier modeling in skeletal muscle growth and Duchenne muscular dystrophy model in mice.

Authors:  Kerryanne V Winters; Olivier Reynaud; Dmitry S Novikov; Els Fieremans; Sungheon Gene Kim
Journal:  Magn Reson Med       Date:  2018-03-25       Impact factor: 4.668

5.  Characterizing upper limb muscle volume and strength in older adults: a comparison with young adults.

Authors:  Meghan E Vidt; Melissa Daly; Michael E Miller; Cralen C Davis; Anthony P Marsh; Katherine R Saul
Journal:  J Biomech       Date:  2011-11-01       Impact factor: 2.712

6.  Magnetic resonance imaging in muscular dystrophies.

Authors:  Luisa Politano; Giovanni Nigro
Journal:  Acta Myol       Date:  2015-12

7.  Muscle MRI in severe Guillain-Barré syndrome with motor nerve inexcitability.

Authors:  María J Sedano; Ana Canga; Carmen de Pablos; José M Polo; José Berciano
Journal:  J Neurol       Date:  2013-01-31       Impact factor: 4.849

Review 8.  Neuromuscular imaging in inherited muscle diseases.

Authors:  Mike P Wattjes; Rudolf A Kley; Dirk Fischer
Journal:  Eur Radiol       Date:  2010-04-27       Impact factor: 5.315

9.  Muscle MRI reveals distinct abnormalities in genetically proven non-dystrophic myotonias.

Authors:  Jasper M Morrow; Emma Matthews; Dipa L Raja Rayan; Arne Fischmann; Christopher D J Sinclair; Mary M Reilly; John S Thornton; Michael G Hanna; Tarek A Yousry
Journal:  Neuromuscul Disord       Date:  2013-06-27       Impact factor: 4.296

10.  Quantifying skeletal muscle volume and shape in humans using MRI: A systematic review of validity and reliability.

Authors:  Christelle Pons; Bhushan Borotikar; Marc Garetier; Valérie Burdin; Douraied Ben Salem; Mathieu Lempereur; Sylvain Brochard
Journal:  PLoS One       Date:  2018-11-29       Impact factor: 3.240

  10 in total

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