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Related Experiment Video

Updated: May 7, 2026

The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool
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The Utility of Intravoxel Incoherent Motion Metrics in Assessing Disability in Relapsing-Remitting Multiple

Othman I Alomair1,2, Sami A Alghamdi1, Abdullah H Abujamea3

  • 1Radiological Sciences Department, College of Applied Medical Sciences, King Saud University, P.O. Box 145111, Riyadh 4545, Saudi Arabia.

Diagnostics (Basel, Switzerland)
|August 28, 2025
PubMed
Summary

Quantitative intravoxel incoherent motion (IVIM) imaging metrics correlate with disability in multiple sclerosis (MS) patients. While lesion count and relapse frequency are primary predictors, IVIM parameters offer valuable insights into microstructural changes and disability assessment.

Keywords:
disease durationdisease-modifying treatment (DMT)expanded disability status scale (EDSS)intravoxel incoherent motion (IVIM)mobility assistancenumber of relapsesrelapsing–remitting multiple sclerosis (RR-MS)

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Area of Science:

  • Radiology and Imaging
  • Neurology
  • Biomedical Engineering

Background:

  • Multiple sclerosis (MS) is a chronic neurological disease characterized by tissue microstructural changes and clinical disability.
  • Quantitative intravoxel incoherent motion (IVIM) imaging provides diffusion- and perfusion-derived metrics to assess tissue microstructure non-invasively.
  • Current methods for assessing MS disability can be complemented by advanced imaging techniques.

Purpose of the Study:

  • To investigate the correlation and predictive value of IVIM parameters (ADC, D, D*, f) with disability status (EDSS) in relapsing-remitting MS patients.
  • To identify independent predictors of Expanded Disability Status Scale (EDSS) scores in MS.
  • To explore the utility of IVIM biomarkers in conjunction with clinical data for disability assessment.

Main Methods:

  • Retrospective analysis of MRI data from 197 relapsing-remitting MS patients using a 1.5 T scanner.
  • Extraction of quantitative IVIM parameters: apparent diffusion coefficient (ADC), true diffusion coefficient (D), pseudo-diffusion coefficient (D*), and perfusion fraction (f).
  • Bivariate analyses, Pearson correlation, and multiple linear regression to assess associations between IVIM metrics, clinical variables, and EDSS scores.

Main Results:

  • IVIM parameters (ADC, D, D*) and EDSS were higher in older patients, those with longer disease duration, and those needing mobility assistance.
  • The number of MS lesions and relapses were identified as independent predictors of EDSS score.
  • IVIM metrics showed meaningful correlations with disability, supporting their role in detecting microstructural alterations.

Conclusions:

  • IVIM imaging is useful for detecting microstructural alterations associated with MS impairment.
  • While lesion load and relapse frequency are primary EDSS predictors, IVIM metrics provide complementary information.
  • Combining IVIM biomarkers with clinical data enhances the assessment of disability in MS patients.