Evidence map›Paper›PMID 40954941›Full record

ArticleAnnals of clinical and translational neurology2025

Quantity and Volume of Perivascular Spaces Are Inversely Associated With Multiple Sclerosis Relative to Cerebrovascular Disease and Migraine.

Elle M Levit, Elizabeth A Horwath, Daniel L Schwartz, Lisa C Silbert, Russell T Shinohara, Andrew J Solomon

Abstract read
In one paragraph

Article in Annals of clinical and translational neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Elle M LevitDepartment of Neurological Sciences, University of Vermont, Burlington, Vermont, USA.ORCID 0000-0003-1941-3668
Elizabeth A HorwathDepartment of Biostatistics, Epidemiology, and Informatics, Penn Statistics in Imaging and Visualization Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Daniel L SchwartzDepartment of Neurology, Oregon Alzheimer's Disease Research Center, Oregon Health & Science University, Portland, Oregon, USA.
Lisa C SilbertDepartment of Neurology, Oregon Alzheimer's Disease Research Center, Oregon Health & Science University, Portland, Oregon, USA.ORCID 0000-0002-4525-0068
Russell T ShinoharaDepartment of Biostatistics, Epidemiology, and Informatics, Penn Statistics in Imaging and Visualization Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Andrew J SolomonDepartment of Neurological Sciences, University of Vermont, Burlington, Vermont, USA.

Funding

Advanced Statistical Analytics of MRI in MSR01NS112274 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2020 to 2024
$2.8M
NIH HHS R01NS112274NINDS NIH HHS R01 NS112274
6 · The paper itself

Abstract

objectiveTo quantify the number and volume of whole brain perivascular spaces (PVS) using a detection and segmentation algorithm in participants with multiple sclerosis (MS) and patients with disorders mimicking MS known to potentially influence PVS, such as cerebrovascular disease.

methodsT1-weighted and T2-weighted FLAIR sequences were obtained on 3T MRI from 40 participants: 10 with MS, 10 with MS and a known comorbidity associated with MRI white matter abnormalities, 10 with migraine and MRI T2 hyperintense lesions, and 10 who were previously misdiagnosed with MS due to a variety of diagnoses. MRIs were analyzed using a previously validated automated segmentation pipeline. Primary outcomes included PVS number and volume, which were evaluated separately in each model.

resultsMS diagnosis was inversely associated with the number of PVS (t(23.99) = 3.92, p < 0.001) and PVS volume (t(22.49) = 3.64, p < 0.001). ROC analysis demonstrated an AUC above 0.8 for both the number of PVS and PVS volume for differentiating the MS and non-MS cohorts. In logistic regression, the number of PVS (OR = 0.98, 95% CI [-0.03, -0.01], p < 0.05) and volume of PVS (OR = 0.98, 95% CI = [0.97, 0.99], p < 0.006) were significantly inversely associated with MS diagnosis.

interpretationThese findings suggest that those with a confirmed diagnosis of MS had a lower PVS burden compared to individuals with migraine or misdiagnosis of MS, irrespective of vascular comorbidities. The degree to which cerebrovascular disease influences PVS in patients with MS and other diagnoses warrants further study in larger longitudinal cohorts.

Indexed as

Cerebrovascular DisordersGlymphatic SystemMigraine DisordersMultiple SclerosisAdultFemaleHumansMagnetic Resonance ImagingMaleMiddle Agedmultiple sclerosisneuroimagingneuroinflammationperivascular spaces

Identifiers

PMID40954941
PMCPMC12698934

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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.