Literature DB >> 9674787

Magnetic resonance imaging of muscle in amyotrophic lateral sclerosis.

W W Bryan1, J S Reisch, G McDonald, L L Herbelin, R J Barohn, J L Fleckenstein.   

Abstract

OBJECTIVE: To characterize leg muscle abnormalities in patients with ALS using MRI, and to correlate MRI with standard neurologic measures of motor neuron dysfunction.
METHODS: Eleven ALS patients were studied twice (once at baseline and again after 4 months) and compared with eight normal control subjects. MRI data of the lower extremities were compared with tibialis anterior compound muscle action potential amplitude (CMAPa) and foot dorsiflexion maximal voluntary isometric contraction (MVIC).
RESULTS: Muscle MRI was abnormal by visual inspection in six of 11 patients. The mean muscle T1 time and muscle volume were not different in patients compared with normal control subjects (p > 0.1). However, the mean T2 times were increased in the patients compared with normal control subjects (p = 0.009). T1 times did not correlate with CMAPa or MVIC. Muscle volume correlated with MVIC (r = 0.73 to 0.78, p < 0.02) but not with CMAPa (p > 0.05). There was a strong negative correlation (r < -0.8, p < or = 0.01) between muscle T2 time and MVIC and CMAPa. Also, the change in T2 relaxation time correlated with the change in CMAPa as the disease progressed (r = -0.63, p = 0.037).
CONCLUSION: Of the MRI characteristics studied, T2 relaxation time was the best indicator of motor neuron dysfunction and may have a role in objective evaluation of motor neuron dysfunction.

Entities:  

Keywords:  Non-programmatic

Mesh:

Year:  1998        PMID: 9674787     DOI: 10.1212/wnl.51.1.110

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  10 in total

1.  Advances in the application of MRI to amyotrophic lateral sclerosis.

Authors:  Martin R Turner; Michel Modo
Journal:  Expert Opin Med Diagn       Date:  2010-11

Review 2.  Skeletal Muscle Quantitative Nuclear Magnetic Resonance Imaging and Spectroscopy as an Outcome Measure for Clinical Trials.

Authors:  Pierre G Carlier; Benjamin Marty; Olivier Scheidegger; Paulo Loureiro de Sousa; Pierre-Yves Baudin; Eduard Snezhko; Dmitry Vlodavets
Journal:  J Neuromuscul Dis       Date:  2016-03-03

3.  Quantitative MRI can detect subclinical disease progression in muscular dystrophy.

Authors:  Arne Fischmann; Patricia Hafner; Susanne Fasler; Monika Gloor; Oliver Bieri; Ueli Studler; Dirk Fischer
Journal:  J Neurol       Date:  2012-08       Impact factor: 4.849

4.  Imaging muscle as a potential biomarker of denervation in motor neuron disease.

Authors:  Thomas M Jenkins; James J P Alix; Charlotte David; Eilish Pearson; D Ganesh Rao; Nigel Hoggard; Eoghan O'Brien; Kathleen Baster; Michael Bradburn; Julia Bigley; Christopher J McDermott; Iain D Wilkinson; Pamela J Shaw
Journal:  J Neurol Neurosurg Psychiatry       Date:  2017-10-31       Impact factor: 10.154

Review 5.  Biomarkers in Motor Neuron Disease: A State of the Art Review.

Authors:  Nick S Verber; Stephanie R Shepheard; Matilde Sassani; Harry E McDonough; Sophie A Moore; James J P Alix; Iain D Wilkinson; Tom M Jenkins; Pamela J Shaw
Journal:  Front Neurol       Date:  2019-04-03       Impact factor: 4.003

6.  Skeletal muscle MRI differentiates SBMA and ALS and correlates with disease severity.

Authors:  Uros Klickovic; Luca Zampedri; Christopher D J Sinclair; Stephen J Wastling; Karin Trimmel; Robin S Howard; Andrea Malaspina; Nikhil Sharma; Katie Sidle; Ahmed Emira; Sachit Shah; Tarek A Yousry; Michael G Hanna; Linda Greensmith; Jasper M Morrow; John S Thornton; Pietro Fratta
Journal:  Neurology       Date:  2019-08-07       Impact factor: 9.910

7.  Longitudinal Quantitative MRI Evaluation of Muscle Involvement in Amyotrophic Lateral Sclerosis.

Authors:  Matteo Paoletti; Luca Diamanti; Shaun I Muzic; Elena Ballante; Francesca Solazzo; Lia Foppoli; Xeni Deligianni; Francesco Santini; Silvia Figini; Niels Bergsland; Anna Pichiecchio
Journal:  Front Neurol       Date:  2021-11-24       Impact factor: 4.003

8.  Reproducibility, and age, body-weight and gender dependency of candidate skeletal muscle MRI outcome measures in healthy volunteers.

Authors:  Jasper M Morrow; Christopher D J Sinclair; Arne Fischmann; Mary M Reilly; Michael G Hanna; Tarek A Yousry; John S Thornton
Journal:  Eur Radiol       Date:  2014-04-20       Impact factor: 5.315

Review 9.  Lessons of ALS imaging: Pitfalls and future directions - A critical review.

Authors:  Peter Bede; Orla Hardiman
Journal:  Neuroimage Clin       Date:  2014-02-27       Impact factor: 4.881

10.  Longitudinal multi-modal muscle-based biomarker assessment in motor neuron disease.

Authors:  Thomas M Jenkins; James J P Alix; Jacob Fingret; Taniya Esmail; Nigel Hoggard; Kathleen Baster; Christopher J McDermott; Iain D Wilkinson; Pamela J Shaw
Journal:  J Neurol       Date:  2019-10-17       Impact factor: 4.849

  10 in total

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