Evidence map›Paper›PMID 41223509›Full record

ArticleMultiple sclerosis and related disorders2025

An evaluation of perivascular space burden and contrast enhancement on 7T MRI in multiple sclerosis.

Yuxin Zeng, Austin Bertrand, Jiachen Zhuo, Daniel M Harrison

Abstract read
In one paragraph

Article in Multiple sclerosis and related disorders, 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

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yuxin ZengDepartment of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.
Austin BertrandNeurology Institution, UT Southwestern, Frisco, TX, USA.
Jiachen ZhuoDepartment of Radiology and Nuclear Medicine, University of Maryland School of Medicine, USA.
Daniel M HarrisonDepartment of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA; Department of Neurology, Baltimore VA Medical Center, VA Maryland Healthcare System, Baltimore, MD, USA. Electronic address: dharrison@som.umaryland.edu.

Funding

In vivo assessment of meningeal inflammation and its clinical impact in multiple sclerosis by 7 Tesla MRIR01NS104403 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI HARRISON, DANIEL M · 2018 to 2022
$3.1M
NINDS NIH HHS R01 NS104403
6 · The paper itself

Abstract

BACKGROUND AND

objectivesChanges to the perivascular space (PVS) may be associated with multiple sclerosis (MS) pathology. In this study, we aimed to quantify PVS burden and assess PVS contrast enhancement on 7T MRI in MS.

methodsParticipants with MS (N = 100), other inflammatory neurological disorders (OIND, N = 12), and healthy controls (HC, N = 18) underwent 7T MRI. PVS segmentation was performed using an automated algorithm. Post-contrast FLAIR images were reviewed for gadolinium contrast-enhancing PVS (CE-PVS). The count, volume, and fraction of PVS and CE-PVS patterns were quantified.

resultsOverall, 67% of participants were female, with the same proportion across HC, MS, and OIND groups. Median age was 41 years in HC, 46 years in MS, and 35 years in OIND. The segmentation algorithm achieved a median Dice Similarity Coefficient (DSC) of 0.994 compared to manually revised masks. PVS count, volume, and the proportion of PVS volume divided by total white matter (WM) volume did not differ significantly between individuals with and without MS. This finding was no different when restricting the analysis to only PVS in the large size category (> 2.65 mm3). CE- PVS were seen in 29% of MS, 11% of HC, and 8% of OIND, p = 0.431. Participants with progressive MS (PMS, N = 21) had greater PVS count (1341 (841, 1481)) than those with relapsing-remitting MS (RRMS, N = 79) (849 (571, 1283)), adjusted p = 0.037.

conclusions7T MRI and an automated algorithm enabled accurate PVS quantification. Although trends towards increased baseline PVS burden and CE-PVS in MS were seen, these differences were not significant. An observed difference in PVS between PMS and RRMS across all time points suggests a potential biological distinction, though, which warrants further investigation.

Indexed as

Glymphatic SystemMagnetic Resonance ImagingMultiple SclerosisAdultAlgorithmsContrast MediaFemaleHumansMaleMiddle AgedWhite MatterContrast Media7T MRIEnhancementMSPVSSegmentation algorithm

Identifiers

PMID41223509
PMCPMC13353772

What Socratic holds

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LicenceCC BY-NC
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Registered trials

None linked

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 Socratic graph.