Evidence map›Paper›PMID 25303286›Full record

ArticlePloS one2014

7 Tesla magnetic resonance imaging to detect cortical pathology in multiple sclerosis.

Bing Yao, Simon Hametner, Peter van Gelderen, Hellmuth Merkle, Christina Chen, Hans Lassmann, Jeff H Duyn, Francesca Bagnato

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 3% 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Decoding Gray Matter Involvement in Multiple Sclerosis via Imaging.Neuroimaging clinics of North America · 2024
    Review
  6. Article
  7. Article
  8. Iron and Alzheimer's Disease: From Pathology to Imaging.Frontiers in human neuroscience · 2022
    Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
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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 4 institutions in 2 countries.

Bing YaoAdvanced Magnetic Resonance Imaging Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, Maryland, United States of America; Center for Neuroimaging Research, Kessler Foundation, West Orange, New Jersey, United States of America.
Simon HametnerCenter for Brain Research, Medical University, Vienna, Austria.
Peter van GelderenAdvanced Magnetic Resonance Imaging Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, Maryland, United States of America.
Hellmuth MerkleAdvanced Magnetic Resonance Imaging Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, Maryland, United States of America.
Christina ChenNeuroimmunology Branch, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, Maryland, United States of America.
Hans LassmannCenter for Brain Research, Medical University, Vienna, Austria.
Jeff H DuynAdvanced Magnetic Resonance Imaging Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, Maryland, United States of America.
Francesca BagnatoNeuroimmunology Branch, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, Maryland, United States of America; Department of Radiology and Radiological Science, Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, United States of America.
National Institute of Neurological Disorders and Stroke · USMedical University of Vienna · ATKessler Foundation · USVanderbilt University · US

Funding

Intramural NIH HHS
6 · The paper itself

Abstract

backgroundNeocortical lesions (NLs) are an important pathological component of multiple sclerosis (MS), but their visualization by magnetic resonance imaging (MRI) remains challenging.

objectivesWe aimed at assessing the sensitivity of multi echo gradient echo (ME-GRE) T2*-weighted MRI at 7.0 Tesla in depicting NLs compared to myelin and iron staining.

methodsSamples from two MS patients were imaged post mortem using a whole body 7 T MRI scanner with a 24-channel receive-only array. Isotropic 200 micron resolution images with varying T2* weighting were reconstructed from the ME-GRE data and converted into R2* maps. Immunohistochemical staining for myelin (proteolipid protein, PLP) and diaminobenzidine-enhanced Turnbull blue staining for iron were performed.

resultsProspective and retrospective sensitivities of MRI for the detection of NLs were 48% and 67% respectively. We observed MRI maps detecting only a small portion of 20 subpial NLs extending over large cortical areas on PLP stainings. No MRI signal changes suggestive of iron accumulation in NLs were observed. Conversely, R2* maps indicated iron loss in NLs, which was confirmed by histological quantification.

conclusionsHigh-resolution post mortem imaging using R2* and magnitude maps permits detection of focal NLs. However, disclosing extensive subpial demyelination with MRI remains challenging.

Indexed as

AdultAgedAged, 80 and overFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMultiple SclerosisNeocortexProspective StudiesRetrospective Studies

Identifiers

PMID25303286
PMCPMC4193749
OpenAlexW2063835027

What Socratic holds

Textmetadata
LicenceCC0
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 Socratic graph.