Evidence map›Paper›PMID 41574091›Full record

ArticleBrain communications2026

Diffusion tensor imaging along the perivascular space and disease progression in people with multiple sclerosis: a 5-year longitudinal MRI study.

Ashley Tranquille, Robert Zivadinov, Bianca Weinstock-Guttman, Svetlana P Eckert, David Hojnacki, Michael G Dwyer, Niels Bergsland

Abstract read
In one paragraph

Article in Brain communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ashley TranquilleDepartment 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.
Robert ZivadinovDepartment 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.
Bianca Weinstock-GuttmanDepartment of Neurology, State University of New York, Buffalo, NY 14203, USA.
Svetlana P EckertDepartment of Neurology, State University of New York, Buffalo, NY 14203, USA.
David HojnackiDepartment of Neurology, State University of New York, Buffalo, NY 14203, USA.
Michael G DwyerDepartment 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.ORCID https://orcid.org/0000-0003-4684-4658
Niels BergslandDepartment 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.ORCID https://orcid.org/0000-0002-7792-0433

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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,

Indexed as

DTI-ALPSMRI disease progressionmultiple sclerosis

Identifiers

PMID41574091
PMCPMC12820730

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.