Evidence map›Paper›PMID 40955955›Full record

ArticleAnnals of clinical and translational neurology2025

The Associations Between Chronic Active Lesions and White Matter Disease: A 7 Tesla Imaging Study.

Ellie McCluey, Ahmad A Toubasi, Jiacheng Wang, Habeeb F Kazimuddin, Taegan Vinarsky, Caroline Gheen, Carynn Koch, Zachery Rohm, Bryan Hernandez, Margareta A Clarke and 8 more

Abstract read
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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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Ellie McClueyNeuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
Ahmad A ToubasiNeuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.ORCID 0000-0002-4688-9728
Jiacheng WangVU Department of Computer Science, Nashville, Tennessee, USA.
Habeeb F KazimuddinNeuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
Taegan VinarskyNeuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
Caroline GheenNeuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
Carynn KochNeuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
Zachery RohmNeuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.ORCID 0000-0003-0233-3944
Bryan HernandezNeuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
Margareta A ClarkeNeuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.ORCID 0000-0001-5531-796X
Rachael CheekNeuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
Rozita KhaliliNeuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
Chaoyang JinVanderbilt Institute of Imaging Science, Department of Radiology and Radiological Science, VUMC, Nashville, Tennessee, USA.
Victoria LimNeuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
John KramerNeuroimmunology Division, Department of Neurology, VUMC, Nashville, Tennessee, USA.
Junzhong XuVanderbilt Institute of Imaging Science, Department of Radiology and Radiological Science, VUMC, Nashville, Tennessee, USA.
Ipek OguzVU Department of Computer Science, Nashville, Tennessee, USA.
Francesca BagnatoNeuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.ORCID 0000-0001-9544-9019

Funding

A PET-CT Scanner for Translational ResearchS10OD012297 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C · 2015 to 2015
$2.0M
CLC NIH HHS 6S10OD012297-02CSRD VA I01 CX002160Health Services Research and Development I01CX002160-01A1National Multiple Sclerosis Society RG-1901-33190NIH HHS S10 OD012297Voros Innovation and Impact Fund
6 · The paper itself

Abstract

backgroundThe relationship between paramagnetic rim lesions (PRLs) and surrounding normally appearing white matter (NAWM) disease, potentially contributory to the associations seen between PRLs and clinical impairment, is underexplored.

objectivesTo assess whether PRLs correlate with a greater degree of NAWM injury in early MS.

methodsPRLs were identified on susceptibility weighted imaging (SWI) of 68 newly diagnosed patients. Each PRL was paired with an anatomically matched contralateral non-PRL (nPRL) from the same participant. Quantitative magnetization transfer imaging derived macromolecular-to-free pool-size ratio (PSR) and relaxation rate of the free water pool (R

resultsPSR and R

conclusionsIn the early stages of MS, there is no association between PRLs and surrounding NAWM degree of injury.

Indexed as

LeukoencephalopathiesMagnetic Resonance ImagingMultiple SclerosisWhite MatterAdultFemaleHumansMaleMiddle AgedYoung Adultchronic inflammationdemyelinationnormal appearing white matterparamagnetic rim lesions

Identifiers

PMID40955955
PMCPMC12698956

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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.