Evidence map›Paper›PMID 37979894›Full record

ArticleNeuroImage2023

Cervical spinal cord susceptibility-weighted MRI at 7T: Application to multiple sclerosis.

Margareta A Clarke, Atlee A Witt, Ryan K Robison, Sawyer Fleishman, Anna J E Combes, Delaney Houston, Logan E Prock, Grace Sweeney, Kristin P O'Grady, Colin D McKnight and 1 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 13 citations in OpenAlex.

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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.

Margareta A ClarkeVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232 USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232 USA.
Atlee A WittVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232 USA; School of Medicine, Vanderbilt University, Nashville, TN 37232 USA.
Ryan K RobisonVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232 USA; Philips Healthcare, Nashville TN 37232 USA.
Sawyer FleishmanVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232 USA.
Anna J E CombesVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232 USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232 USA.
Delaney HoustonVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232 USA.
Logan E ProckVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232 USA.
Grace SweeneyVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232 USA.
Kristin P O'GradyVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232 USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232 USA; Department of Biomedical Engineering, Vanderbilt University, Nashville TN 37232 USA.
Colin D McKnightDepartment of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232 USA.
Seth A SmithVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232 USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232 USA; Department of Biomedical Engineering, Vanderbilt University, Nashville TN 37232 USA. Electronic address: seth.smith@vanderbilt.edu.
Vanderbilt University Medical Center · USVanderbilt University · USPhilips (United States) · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007347 · NIGMS · VANDERBILT UNIVERSITY · PI WILLIAMS, CHRISTOPHER S. · 1985 to 2023
$26.3M
Upgrade and Refurbishment of a 7T MRI Scanner for ResearchS10OD030389 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C · 2021 to 2021
$2.0M
Evaluating Advanced Diffusion of the Human Spinal Cord: Application to MSR01NS117816 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SMITH, SETH A · 2021 to 2025
$1.8M
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 EB030039NIGMS NIH HHS T32 GM007347NIH HHS S10 OD030389NINDS NIH HHS R01 NS109114NINDS NIH HHS R01 NS117816
6 · The paper itself

Abstract

backgroundSusceptibility-weighted imaging (SWI) has been extensively studied in the brain and in diseases of the central nervous system such as multiple sclerosis (MS) providing unique opportunities to visualize cerebral vasculature and disease-related pathology, including the central vein sign (CVS) and paramagnetic rim lesions (PRLs). However, similar studies evaluating SWI in the spinal cord of patients with MS remain severely limited. PURPOSE: Based on our previous findings of enlarged spinal vessels in MS compared to healthy controls (HCs), we developed high-field SWI acquisition and processing methods for the cervical spinal cord with application in people with MS (pwMS) and HCs. Here, we demonstrate the vascular variability between the two cohorts and unique MS lesion features in the cervical cord.

methodsIn this retrospective, exploratory pilot study conducted between March 2021 and March 2022, we scanned 12 HCs and 9 pwMS using an optimized non-contrast 2D T2*-weighted gradient echo sequence at 7 tesla. The overall appearance of the white and gray matter as well as tissue vasculature were compared between the two cohorts and areas of MS pathology in the patient group were assessed using both the magnitude and processed SWI images.

resultsWe show improved visibility of vessels and more pronounced gray and white matter contrast in the MS group compared to HCs, hypointensities surrounding the cord in the MS cohort, and identify signal changes indicative of the CVS and paramagnetic rims in 66 % of pwMS with cervical spinal lesions.

conclusionIn this first study of SWI at 7T in the human spinal cord, SWI holds promise in advancing our understanding of disease processes in the cervical cord in MS.

Indexed as

Cervical CordMultiple SclerosisHumansMagnetic Resonance ImagingPilot ProjectsRetrospective StudiesSpinal CordCentral vein signMultiple sclerosisParamagnetic rim lesionsSpinal cordSusceptibility-weighted imagingUltra-high-field MRI

Identifiers

PMID37979894
PMCPMC12226311
OpenAlexW4388751922

What OpenQuestion holds

Textmetadata
LicenceTDM
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.