Evidence map›Paper›PMID 38021451›Full record

ArticleMultiple sclerosis journal - experimental, translational and clinical

Detecting macromolecular differences of the CSF in low disability multiple sclerosis using quantitative MT MRI at 3T.

Richard D Lawless, Colin D McKnight, Kristin P O'Grady, Anna Je Combes, Baxter P Rogers, Atlee A Witt, Mereze Visagie, Delaney C Houston, Logan E Prock, Francesca R Bagnato and 1 more

Open access · goldAbstract read
In one paragraph

Article in Multiple sclerosis journal - experimental, translational and clinical. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 30% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. ISMRM Clinical Focus Meeting 2023: "Imaging the Fire in the Brain".Journal of magnetic resonance imaging : JMRI · 2025
    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

11 authors at 3 institutions in 1 country.

Richard D LawlessVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID https://orcid.org/0000-0001-8697-3070
Colin D McKnightDepartment of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID https://orcid.org/0000-0002-4386-8999
Kristin P O'GradyVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.ORCID https://orcid.org/0000-0002-4550-2026
Anna Je CombesVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID https://orcid.org/0000-0001-8214-5964
Baxter P RogersVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.
Atlee A WittVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID https://orcid.org/0000-0002-2939-263X
Mereze VisagieVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.
Delaney C HoustonVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.
Logan E ProckVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.
Francesca R BagnatoDivision of Neuroimmunology, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA.
Seth A SmithVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.
Vanderbilt University Medical Center · USVanderbilt University · USVA Tennessee Valley Healthcare System · US

Funding

Training Program for Innovative Engineering Research in Surgery and InterventionT32EB021937 · NIBIB · VANDERBILT UNIVERSITY · PI Dario J Englot, Michael Ian Miga · 2016 to 2026
$2.3M
Structural and Functional MRI of the Cervical Spinal Cord in Multiple SclerosisR01NS109114 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SMITH, SETH A · 2018 to 2022
$1.7M
Development of Advanced MRI for the Thoracolumbar Spinal Cord for Clinical ApplicationK01EB030039 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI O'GRADY, KRISTIN POOLE · 2020 to 2023
$622k
NIBIB NIH HHS K01 EB030039NIBIB NIH HHS T32 EB021937NINDS NIH HHS R01 NS109114
6 · The paper itself

Abstract

Background: Imaging investigation of cerebrospinal fluid (CSF) in multiple sclerosis (MS) is understudied. Development of noninvasive methods to detect pathological CSF changes would have a profound effect on MS diagnosis and would offer insight into MS pathophysiology and mechanisms of neurological impairment. Objective: We propose magnetization transfer (MT) MRI as a tool to detect macromolecular changes in spinal CSF. Methods: MT and quantitative MT (qMT) data were acquired in the cervical region in 27 people with relapsing-remitting multiple sclerosis (pwRRMS) and 38 age and sex-matched healthy controls (HCs). MT ratio (MTR), the B Results: Both CSF MTR and CSF qMT-derived PSR were significantly increased in pwRRMS compared to HC ( Conclusion: Our findings demonstrate increased CSF macromolecular content in pwRRMS and link CSF macromolecular content with clinical impairment. This highlights the potential role of CSF in processing products of demyelination.

Indexed as

cerebrospinal fluidmagnetic resonance imagingmagnetization transfer ratioMultiple sclerosisspinal cord

Identifiers

PMID38021451
PMCPMC10644741
OpenAlexW4388668724

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 OpenQuestion graph.