Evidence map›Paper›PMID 29561895›Full record

ArticlePloS one2018

Untangling the R2* contrast in multiple sclerosis: A combined MRI-histology study at 7.0 Tesla.

Francesca Bagnato, Simon Hametner, Emma Boyd, Verena Endmayr, Yaping Shi, Vasiliki Ikonomidou, Guanhua Chen, Siddharama Pawate, Hans Lassmann, Seth Smith and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 7% 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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. MatchingFrontiers in neuroanatomy · 2019
    Pooled it
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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 6 institutions in 3 countries.

Francesca BagnatoNeuroimaging Unit/ Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center; Nashville, TN, United States of America.ORCID 0000-0001-9544-9019
Simon HametnerDepartment of Neuroimmunology, Center for Brain Research, Medical University, Vienna, Austria.
Emma BoydDepartment of Bioengineering, George Mason University, Fairfax, VA.
Verena EndmayrDepartment of Neuroimmunology, Center for Brain Research, Medical University, Vienna, Austria.
Yaping ShiDepartment of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN, United States of America.
Vasiliki IkonomidouDepartment of Bioengineering, George Mason University, Fairfax, VA.
Guanhua ChenDepartment of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN, United States of America.
Siddharama PawateNeuroimmunology Division, Department of Neurology, Nashville, TN, United States of America.
Hans LassmannDepartment of Neuroimmunology, Center for Brain Research, Medical University, Vienna, Austria.
Seth SmithVanderbilt University Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States of America.
E Brian WelchVanderbilt University Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States of America.
Medical University of Vienna · ATGeorge Mason University · USVanderbilt University Medical Center · USInstitute of Neuroimmunology of the Slovak Academy of Sciences · SKUniversity of Wisconsin–Madison · USVanderbilt University · US

Funding

Enhancing All of Us Data Resources for Nutrition Precision Health: the All of Us Data and Research CenterU2COD023196 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GLAZER, DAVID, HARRIS, PAUL A. · 2016 to 2022
$143.7M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
NCATS NIH HHS UL1 TR000445NIH HHS U2C OD023196NIH HHS U2C-OD023196NIH HHS UL1TR000445
6 · The paper itself

Abstract

T2*-weighted multi-echo gradient-echo magnetic resonance imaging and its reciprocal R2* are used in brain imaging due to their sensitivity to iron content. In patients with multiple sclerosis who display pathological alterations in iron and myelin contents, the use of R2* may offer a unique way to untangle mechanisms of disease. Coronal slices from 8 brains of deceased multiple sclerosis patients were imaged using a whole-body 7.0 Tesla MRI scanner. The scanning protocol included three-dimensional (3D) T2*-w multi-echo gradient-echo and 2D T2-w turbo spin echo (TSE) sequences. Histopathological analyses of myelin and iron content were done using Luxol fast blue and proteolipid myelin staining and 3,3'-diaminobenzidine tetrahydrochloride enhanced Turnbull blue staining. Quantification of R2*, myelin and iron intensity were obtained. Variations in R2* were found to be affected differently by myelin and iron content in different regions of multiple sclerosis brains. The data shall inform clinical investigators in addressing the role of T2*/R2* variations as a biomarker of tissue integrity in brains of MS patients, in vivo.

Indexed as

Magnetic Resonance ImagingAgedAged, 80 and overBrainContrast MediaFemaleHumansImaging, Three-DimensionalImmunohistochemistryIronMaleMiddle AgedMultiple Sclerosis, Chronic ProgressiveMyelin SheathContrast MediaIron

Identifiers

PMID29561895
PMCPMC5862438
OpenAlexW2792227439

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.