Literature DB >> 24748539

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

Jasper M Morrow1, Christopher D J Sinclair, Arne Fischmann, Mary M Reilly, Michael G Hanna, Tarek A Yousry, John S Thornton.   

Abstract

OBJECTIVES: Quantitative magnetic resonance imaging (MRI) can potentially meet the pressing need for objective, sensitive, reproducible outcome measures in neuromuscular disease trials. We tested, in healthy volunteers, the consistency, reliability and sensitivity to normal inter-subject variation of MRI methods targeted to lower limb muscle pathology to inform the design of practical but comprehensive MRI outcome measure protocols for use in imminent patient studies.
METHODS: Forty-seven healthy volunteers, age 21-81 years, were subject at 3T to three-point Dixon fat-fraction measurement, T₁-relaxometry, T₂-relaxometry and magnetisation transfer ratio (MTR) imaging at mid-thigh and mid-calf level bilaterally. Fifteen subjects underwent repeat imaging at 2 weeks.
RESULTS: Mean between-muscle fat fraction and T₂ differences were small, but significant (p < 0.001). Fat fraction and T 2 correlated positively, and MTR negatively with subject age in both the thigh and calf, with similar significant correlations with weight at thigh level only (p < 0.001 to p < 0.05). Scan-rescan and inter-observer intra-class correlation coefficients ranged between 0.62-0.84 and 0.79-0.99 respectively.
CONCLUSIONS: Quantitative lower-limb muscle MRI using readily implementable methods was sensitive enough to demonstrate inter-muscle differences (small in health), and correlations with subject age and weight. In combination with high reliability, this strongly supports the suitability of these methods to provide longitudinal outcome measures in neuromuscular disease treatment trials. KEY POINTS: • Quantitative lower limb muscle MRI provides potential outcome measures in neuromuscular diseases • Bilateral thigh/calf coverage using sequences sensitive to acute and chronic pathology • Measurements have excellent scan-rescan and interobserver reliability • Measurements show small but significant inter-subject age and weight dependency • Readily implementable sequences suitable for further assessment in patient studies.

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Year:  2014        PMID: 24748539      PMCID: PMC4046083          DOI: 10.1007/s00330-014-3145-6

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  46 in total

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9.  Improved anatomical reproducibility in quantitative lower-limb muscle MRI.

Authors:  Arne Fischmann; Jasper M Morrow; Christopher D J Sinclair; Mary M Reilly; Michael G Hanna; Tarek Yousry; John S Thornton
Journal:  J Magn Reson Imaging       Date:  2013-10-07       Impact factor: 4.813

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  27 in total

1.  Quantification of early fatty infiltration of the rotator cuff muscles: comparison of multi-echo Dixon with single-voxel MR spectroscopy.

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Journal:  Eur Radiol       Date:  2015-12-17       Impact factor: 5.315

2.  Multi-parametric MRI characterization of healthy human thigh muscles at 3.0 T - relaxation, magnetization transfer, fat/water, and diffusion tensor imaging.

Authors:  Ke Li; Richard D Dortch; E Brian Welch; Nathan D Bryant; Amanda K W Buck; Theodore F Towse; Daniel F Gochberg; Mark D Does; Bruce M Damon; Jane H Park
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Review 3.  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

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8.  Magnetization Transfer Ratio of Peripheral Nerve and Skeletal Muscle : Correlation with Demographic Variables in Healthy Volunteers.

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9.  Skeletal Muscle Magnetic Resonance Biomarkers in GNE Myopathy.

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10.  MRI biomarker assessment of neuromuscular disease progression: a prospective observational cohort study.

Authors:  Jasper M Morrow; Christopher D J Sinclair; Arne Fischmann; Pedro M Machado; Mary M Reilly; Tarek A Yousry; John S Thornton; Michael G Hanna
Journal:  Lancet Neurol       Date:  2015-11-06       Impact factor: 44.182

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