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Mean diffusivity and fractional anisotropy histograms of patients with multiple sclerosis

M Cercignani1, M Inglese, E Pagani

  • 1Neuroimaging Research Unit, Department of Neuroscience, Scientific Institute Ospedale San Raffaele and University Milan, Via Olgettina, 60, 20132 Milan, Italy.

Abstract

Insights

Diffusion tensor MR imaging reveals distinct brain diffusion and anisotropy histograms in multiple sclerosis patients compared to controls. These quantitative MRI measures correlate with disability, aiding in monitoring disease progression.

Area of Science:

  • Neuroimaging
  • Quantitative MRI
  • Multiple Sclerosis Research

Background:

  • Multiple sclerosis (MS) involves destructive neurological changes.
  • Conventional MRI has limitations in quantifying MS pathology.
  • Diffusion tensor MR imaging (DTMRI) offers quantitative insights into tissue microstructure.

Purpose of the Study:

  • To compare brain mean diffusivity (D) and fractional anisotropy (FA) histograms between MS patients and healthy controls.
  • To investigate correlations between DTMRI histogram measures and disability levels in MS.
  • To explore relationships between DTMRI metrics and conventional MRI findings.

Main Methods:

  • DTMRI and conventional MR images acquired from 78 MS patients and 20 controls.
  • Generation of D and FA histograms from coregistered DTMRI data.
  • Derivation of histogram measures including average D, FA, peak heights, and peak locations.

Main Results:

  • Significant differences in D and FA histogram measures between MS patients and controls (P <.001).
  • No significant differences in histogram measures across different MS phenotypes.
  • Disability correlated with D and FA histogram parameters in relapsing-remitting and secondary progressive MS.
  • Correlations observed between T2 lesion load and DTMRI-derived quantities.

Conclusions:

  • Brain D and FA histograms effectively differentiate MS patients from healthy individuals.
  • DTMRI-derived histogram measures show potential as biomarkers for disability in MS.
  • These quantitative DTMRI metrics may enhance monitoring of MS evolution and patient outcomes.

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