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Related Concept Videos

Magnetic Resonance Imaging01:24

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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Synthetic MRI in Progressive MS: Associations with Disability.

N Braga1, F X Aymerich2,3, J Alonso2

  • 1From the Department of Neurology-Multiple Sclerosis Centre of Catalonia (Cemcat)(N.B., N.M.-O., X.M., A.V.-J., J.S.-G.), Hospital Universitari Vall d'Hebron, Barcelona, Spain.

AJNR. American Journal of Neuroradiology
|April 2, 2025
PubMed
Summary
This summary is machine-generated.

Synthetic MRI (SyMRI) can assess myelin in progressive MS. Higher myelin fraction (MyCF) in SyMRI scans correlates with lower disability (EDSS), suggesting its clinical utility for monitoring disease progression.

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Area of Science:

  • Neuroimaging
  • Quantitative MRI
  • Multiple Sclerosis Research

Background:

  • Synthetic MRI (SyMRI) offers rapid, multi-contrast imaging from a single acquisition.
  • SyMRI is utilized as an alternative to conventional MRI for lesion detection and volumetric analysis in multiple sclerosis (MS).
  • Previous studies have established SyMRI's role in relapsing-remitting MS, but its utility in progressive MS requires further investigation.

Purpose of the Study:

  • To identify a Synthetic MRI (SyMRI) variable that correlates with severe disability (Expanded Disability Status Scale [EDSS] ≥ 6) in patients with progressive multiple sclerosis (MS).
  • To explore the relationship between quantitative MRI metrics and clinical disability in progressive MS.
  • To assess the potential of SyMRI for monitoring disease progression and disability in MS.

Main Methods:

  • Twenty-four patients with progressive MS underwent SyMRI using a 2D axial QRAPMASTER sequence.
  • Analysis included volumetric parameters, global myelin fraction (MyCF), and quantitative values from various tissue masks (normal-appearing white/gray matter, lesion, corpus callosum).
  • Statistical analysis involved t-tests to compare groups (EDSS < 6 vs. ≥ 6) and univariate binary logistic regression to identify predictors of disability.

Main Results:

  • Significant differences between EDSS groups were observed in brain parenchymal fraction, white matter fraction, MyCF, and corpus callosum volume (P ≤ .05).
  • Global myelin fraction (MyCF) emerged as the best predictor of EDSS category, with higher MyCF associated with lower disability (P = .08, OR = 0.59).
  • These findings suggest a link between myelin integrity and clinical disability in progressive MS.

Conclusions:

  • Synthetic MRI (SyMRI) can differentiate volumetric parameters based on EDSS in progressive MS using a single acquisition.
  • Higher myelin fraction (MyCF) values derived from SyMRI are associated with lower patient disability.
  • SyMRI and myelin quantification show promise as valuable tools for clinical practice in managing progressive MS.