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Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
Published on: February 19, 2021
Updates in Multiple Sclerosis Imaging
Zachery Rohm1, Ahmad Toubasi1, Carynn Koch1
1Vanderbilt University Medical Center, Nashville, Tennessee.
Magnetic resonance imaging (MRI) biomarkers aid in diagnosing and predicting outcomes for multiple sclerosis (MS). New criteria incorporate paramagnetic rim lesions (PRL) and central vein sign (CVS) for improved MS diagnosis and patient care.
Area of Science:
- Neurology
- Radiology
- Immunology
Background:
- Multiple sclerosis (MS) is a leading cause of neurological disability in young adults.
- MS diagnosis is challenging due to varied symptoms and overlapping lesions with other conditions.
- Clinical variability complicates accurate prognosis for individuals with MS.
Purpose of the Study:
- To review the impact, advances, and limitations of imaging biomarkers in multiple sclerosis (MS).
- To discuss the role of quantitative MRI techniques in MS clinical care and research.
- To highlight the importance of understanding imaging biomarkers for clinicians managing MS patients.
Main Methods:
- Review of current literature on MRI biomarkers for MS diagnosis and prognostication.
- Discussion of quantitative MRI techniques for assessing microstructural injury.
- Analysis of the integration of new biomarkers into diagnostic criteria.
Main Results:
- MRI biomarkers like T2-lesions, black holes, atrophy, paramagnetic rim lesions (PRL), and central vein sign (CVS) assist in MS diagnosis and prognosis.
- PRL and CVS will be included in the 2024 McDonald Criteria, enhancing MS diagnostic accuracy.
- Quantitative MRI provides microstructural injury assessment, crucial for therapeutic development.
Conclusions:
- Clinicians require a foundational understanding of imaging biomarkers for effective MS patient management.
- Imaging biomarkers are increasingly vital for both routine clinical care and translational research in MS.
- Advances in MRI techniques offer improved diagnostic and prognostic capabilities for multiple sclerosis.
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