Diffusion tensor imaging along the perivascular space and disease progression in people with multiple sclerosis: a

Ashley Tranquille1, Robert Zivadinov1,2, Bianca Weinstock-Guttman3

  • 1Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14203, USA.

Brain Communications
|January 23, 2026
PubMed

Insights

Diffusion Tensor Image Analysis ALong the Perivascular Space (DTI-ALPS) shows promise for predicting disability progression in relapsing-remitting multiple sclerosis (pwRRMS). Lower baseline DTI-ALPS is linked to confirmed disability progression (CDP) and progression independent of relapse activity (PIRA) in pwRRMS.

Area of Science:

  • Neuroimaging
  • Neurology
  • Radiology

Background:

  • Diffusion Tensor Image Analysis ALong the Perivascular Space (DTI-ALPS) has been explored for glymphatic function in multiple sclerosis (MS).
  • Longitudinal studies on DTI-ALPS and disability progression in people with MS (pwMS) are limited.
  • Previous cross-sectional studies suggest associations between DTI-ALPS and disability in pwMS.

Purpose of the Study:

  • To investigate the longitudinal association of DTI-ALPS with confirmed disability progression (CDP) and progression independent of relapse activity (PIRA) in people with relapsing-remitting MS (pwRRMS) and progressive MS (pwPMS).
  • To assess the value of DTI-ALPS in predicting disability progression over 5 and 10 years in pwRRMS and pwPMS.
  • To explore whether DTI-ALPS provides independent predictive value beyond general disease burden, such as normal appearing white matter (NAWM) mean diffusivity (MD).

Main Methods:

  • A longitudinal study involving 72 pwRRMS, 27 pwPMS, and 23 healthy controls (HC) with 3T MRI scans at baseline and after 5 years.
  • Automated DTI-ALPS index calculation using template-defined ROIs, excluding T2 hyperintensities.
  • CDP and PIRA assessment over 5 and 10 years, with statistical comparisons using ANCOVA and multivariable logistic regression, controlling for NAWM MD and baseline T2-LV.

Main Results:

  • Baseline DTI-ALPS was lower in pwMS than HCs, but this difference diminished after controlling for NAWM MD.
  • In pwRRMS, lower baseline DTI-ALPS was significantly associated with CDP and PIRA at 5 and 10 years, particularly when controlling for NAWM MD.
  • No significant associations were found in the pwPMS group, and changes in DTI-ALPS over 5 years did not correlate with progression in either MS group.

Conclusions:

  • Decreased baseline DTI-ALPS is associated with future disability progression in pwRRMS, suggesting its potential as a prognostic marker.
  • DTI-ALPS may be less informative in pwPMS, indicating its utility might be disease-stage dependent.
  • While initial DTI-ALPS differences between pwMS and HCs are influenced by NAWM MD, baseline DTI-ALPS retains predictive value for long-term progression in pwRRMS.

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