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Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
Published on: February 19, 2021
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Quantitative magnetic resonance imaging towards clinical application in multiple sclerosis
Cristina Granziera1,2, Jens Wuerfel3,4, Frederik Barkhof5,6
1Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.
Brain : a Journal of Neurology
|May 10, 2021
Summary
Quantitative MRI offers detailed insights into central nervous system (CNS) microstructural integrity in multiple sclerosis. This review explores advanced techniques for better patient stratification and treatment evaluation.
Area of Science:
- Neuroimaging
- Biophysics
- Neurology
Background:
- Quantitative MRI provides biophysical measures of CNS microstructural integrity.
- These measures are valuable for comparing across CNS regions, patients, and centers.
- Quantitative MRI techniques offer insights into multiple sclerosis disease mechanisms.
Purpose of the Study:
- To review recent technical advances in quantitative MRI.
- To discuss pathological validation of quantitative MRI techniques.
- To explore emerging applications of quantitative MRI in multiple sclerosis research and clinical settings.
Main Methods:
- Review of recent technical advancements in quantitative MRI.
- Summary of pathological validation studies for quantitative MRI techniques.
- Analysis of emerging applications in multiple sclerosis patient management.
Main Results:
- Quantitative MRI techniques like relaxometry, myelin imaging, and diffusion MRI complement conventional MRI.
- These methods reveal diffuse damage in normal-appearing tissue, lesion heterogeneity, and specific tissue component damage.
- The review discusses the clinical maturity and integration of these techniques into routine practice.
Conclusions:
- Quantitative MRI enhances understanding of multiple sclerosis pathology.
- It aids in assessing diffuse and focal damage within the CNS.
- Quantitative MRI can improve patient stratification, disease progression assessment, and treatment response evaluation in multiple sclerosis.
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