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Updated: May 5, 2026

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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
Published on: December 18, 2016
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Longitudinal Quantitative MRI Provides Responsive Outcome Measures for Early and Late Muscle Changes in ALS
Frank Diaz1,2, John S Thornton3, Stephen S Wastling3
1Board of Governors Regenerative Medicine Institute, Cedars-Siniai Medical Center, Los Angeles, California, USA.
Muscle & Nerve
|November 29, 2024
Summary
Quantitative muscle MRIs show high responsiveness in tracking Amyotrophic Lateral Sclerosis (ALS) progression, offering a novel outcome measure for clinical trials. These MRI techniques detect changes in muscle composition and structure earlier than traditional methods.
Area of Science:
- Neurology
- Radiology
- Biomedical Engineering
Background:
- Muscle magnetic resonance imaging (MRI) shows promise for monitoring Amyotrophic Lateral Sclerosis (ALS) progression.
- The responsiveness and clinical utility of quantitative muscle MRI in ALS trials are not well-established.
Purpose of the Study:
- To evaluate the responsiveness of quantitative muscle MRI measures for assessing disease progression in ALS patients.
- To compare the sensitivity of MRI-derived metrics against established clinical assessments in an ALS clinical trial.
Main Methods:
- Longitudinal quantitative muscle MRIs (fat fraction, T2, CSA, RMA) were performed on ALS participants over 12 months.
- Non-MRI measures included muscle strength (ATLIS) and the ALSFRS-R scale.
- Standardized Response Means (SRMs) were calculated to assess measure responsiveness.
Main Results:
- Significant changes in muscle fat fraction, CSA, and RMA were detected as early as 1 month.
- Muscle fat fraction and T2 showed high responsiveness at 6 months, outperforming ALSFRS-R.
- MRI measures demonstrated varying correlations with muscle strength and ALSFRS-R leg subscores.
Conclusions:
- Quantitative muscle MRI exhibits high responsiveness and low variability, making it a valuable outcome measure for ALS clinical trials.
- Muscle MRI serves as a novel and complementary tool for tracking disease progression in ALS.
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