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Updated: Jan 24, 2026

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
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.
Abstract:
Diffusion Tensor Image Analysis ALong the Perivascular Space (DTI-ALPS) was originally proposed to quantify glymphatic functioning. Although a direct interpretation is now questioned, cross-sectional studies show associations with disability in people with multiple sclerosis (pwMS). Regardless, serial DTI-ALPS studies are largely lacking in MS. In a longitudinal study, we investigated DTI-ALPS with respect to confirmed disability progression (CDP) and progression independent of relapse activity (PIRA) in people with relapsing-remitting MS (pwRRMS) and progressive MS (pwPMS). This study included 72 pwRRMS, 27 pwPMS, and 23 healthy controls (HC) imaged with 3T MRI and again after 5 years. The DTI-ALPS index was calculated using an automated pipeline using template-defined regions of interest (ROIs) in the superior longitudinal fasciculus and superior corona radiata. Areas corresponding to T2 hyperintensities were removed to avoid the influence of overt pathology. CDP and PIRA were assessed after 5 years and in 64 pwRRMS/17 pwPMS after 10 years. Comparisons between those with and without follow-up CDP or PIRA were assessed using analysis of covariance and repeated including normal appearing white matter (NAWM) mean diffusivity (MD) as an additional covariate. Multivariable binary logistic regression was used to explore whether DTI-ALPS offers independent value beyond general disease burden. Although significantly lower in pwMS compared with HCs (1.347 ± 0.178 versus 1.437 ± 0.132, P = 0.034, partial η 2 = 0.021), the difference was no longer so after controlling for NAWM MD (P = 0.094, partial η 2 = 0.024). DTI-ALPS decreases over 5 years were similar between HC and pwMS (P = 0.188, partial η 2 = 0.021). In pwRRMS, baseline DTI-ALPS was lower in those who developed CDP or PIRA at 5- and 10 years of follow-up (all P ≤ 0.019, partial η 2 > 0.080, except for PIRA at 5 years, P = 0.051, partial η 2 = 0.055). When controlling for NAWM MD, results were in line with original findings. Baseline T2-LV was the only retained imaging predictor of CDP and PIRA over 5 years while only baseline DTI-ALPS was selected for in 10 year models. No associations were found in the pwPMS group. Changes in DTI-ALPS over 5 years did not relate to CDP nor PIRA in neither group. In conclusion, although DTI-ALPS values were not significantly different compared with HCs after considering NAWM MD, decreased baseline DTI-ALPS is associated with disability progression in pwRRMS. The lack of associations in pwPMS suggests that DTI-ALPS may be less informative with more advanced disease.
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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