Evidence map›Paper›PMID 30907234›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2020

Selective inversion recovery quantitative magnetization transfer imaging: Toward a 3 T clinical application in multiple sclerosis.

Francesca Bagnato, Giulia Franco, Fei Ye, Run Fan, Patricia Commiskey, Seth A Smith, Junzhong Xu, Richard Dortch

Open access · greenAbstract read
In one paragraph

Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 30 citations in OpenAlex.

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  14. Probing axons using multi-compartmental diffusion in multiple sclerosis.Annals of clinical and translational neurology · 2019
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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

8 authors at 2 institutions in 2 countries.

Francesca BagnatoNeuroimaging Unit, Division of Neuroimmunology, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, TN, USA.
Giulia FrancoNeuroimaging Unit, Division of Neuroimmunology, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, TN, USA/ IRCCS Foundation Ca' Granda Ospedale Maggiore Policlinico, Dino Ferrari Center, Neuroscience Section, Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
Fei YeDepartment of Biostatistics, Vanderbilt University Medical Center (VUMC), Nashville, TN, USA.
Run FanDepartment of Biostatistics, Vanderbilt University Medical Center (VUMC), Nashville, TN, USA.
Patricia CommiskeyDepartment of Neurology, Stroke Division, Vanderbilt University Medical Center (VUMC), Nashville, TN, USA.
Seth A SmithVanderbilt University Institute of Imaging Science, Department of Radiology and Radiological Sciences and Department of Ophthalmology, Vanderbilt University Medical Center (VUMC), Nashville, TN, USA/ Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
Junzhong XuVanderbilt University Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center (VUMC), Nashville, TN, USA/ Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
Richard DortchVanderbilt University Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center (VUMC), Nashville, TN, USA/ Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
Vanderbilt University Medical Center · USUniversity of Milan · IT

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Quantitative Assessment of Peripheral Nerve Injury and Repair via Multi-Parametric MRIR01NS097821 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DORTCH, RICHARD · 2016 to 2020
$1.7M
Quantitative MRI of the Human Peripheral Nervous System In VivoK25EB013659 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DORTCH, RICHARD · 2012 to 2016
$750k
Assessment of Tumor Early Response to Treatment by Diffusion MRIK25CA168936 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI XU, JUNZHONG · 2013 to 2017
$728k
NCATS NIH HHS UL1 TR000445NCI NIH HHS K25 CA168936NIBIB NIH HHS K25 EB013659NINDS NIH HHS R01 NS097821
6 · The paper itself

Abstract

backgroundAssessing the degree of myelin injury in patients with multiple sclerosis (MS) is challenging due to the lack of magnetic resonance imaging (MRI) methods specific to myelin quantity. By measuring distinct tissue parameters from a two-pool model of the magnetization transfer (MT) effect, quantitative magnetization transfer (qMT) may yield these indices. However, due to long scan times, qMT has not been translated clinically.

objectivesWe aim to assess the clinical feasibility of a recently optimized selective inversion recovery (SIR) qMT and to test the hypothesis that SIR-qMT-derived metrics are informative of radiological and clinical disease-related changes in MS.

methodsA total of 18 MS patients and 9 age- and sex-matched healthy controls (HCs) underwent a 3.0 Tesla (3 T) brain MRI, including clinical scans and an optimized SIR-qMT protocol. Four subjects were re-scanned at a 2-week interval to determine inter-scan variability.

resultsSIR-qMT measures differed between lesional and non-lesional tissue (

conclusionSIR-qMT at 3 T is clinically feasible and predicts both radiological and clinical disease severity in MS.

Indexed as

AdultBiomarkersFeasibility StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMultiple SclerosisMyelin SheathNeuroimagingSeverity of Illness IndexBiomarkersBiomarkersdemyelinationmultiple sclerosisoutcome measurementT2 lesions

Identifiers

PMID30907234
PMCPMC7528886
OpenAlexW2923430720

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.