Evidence map›Paper›PMID 36720269›Full record

ArticleBrain pathology (Zurich, Switzerland)2023

Quantitative magnetic resonance imaging reflects different levels of histologically determined myelin densities in multiple sclerosis, including remyelination in inactive multiple sclerosis lesions.

Vanessa Wiggermann, Verena Endmayr, Enedino Hernández-Torres, Romana Höftberger, Gregor Kasprian, Simon Hametner, Alexander Rauscher

Open access · goldAbstract read
In one paragraph

Article in Brain pathology (Zurich, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

  1. Machine learning-based MRI radiomics identifies patients with degenerative cervical myelopathy and predicts baseline function.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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  11. Remyelination in multiple sclerosis from the miRNA perspective.Frontiers in molecular neuroscience · 2023
    Review
  12. Rapid Estimation of Myelin for Diagnostic Imaging and Quantification of Therapy Responses in Multiple Sclerosis.Journal of neuroimaging : official journal of the American Society of Neuroimaging
    Article
  13. 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

7 authors at 2 institutions in 3 countries.

Vanessa WiggermannDepartment of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0001-5236-3039
Verena EndmayrDivision of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0001-5279-5720
Enedino Hernández-TorresDanish Research Centre for Magnetic Resonance, Copenhagen University Hospital Amager & Hvidovre, Copenhagen, Denmark.ORCID 0000-0003-2873-5693
Romana HöftbergerDivision of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-5769-1100
Gregor KasprianDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.ORCID 0000-0003-3858-3347
Simon HametnerDivision of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-5160-5208
Alexander RauscherDepartment of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0002-1961-8252
Medical University of Vienna · ATUniversity of British Columbia · CA

Funding

CIHR RN382474-418628
6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) of focal or diffuse myelin damage or remyelination may provide important insights into disease progression and potential treatment efficacy in multiple sclerosis (MS). We performed post-mortem MRI and histopathological myelin measurements in seven progressive MS cases to evaluate the ability of three myelin-sensitive MRI scans to distinguish different stages of MS pathology, particularly chronic demyelinated and remyelinated lesions. At 3 Tesla, we acquired two different myelin water imaging (MWI) scans and magnetisation transfer ratio (MTR) data. Histopathology included histochemical stainings for myelin phospholipids (LFB) and iron as well as immunohistochemistry for myelin proteolipid protein (PLP), CD68 (phagocytosing microglia/macrophages) and BCAS1 (remyelinating oligodendrocytes). Mixed-effects modelling determined which histopathological metric best predicted MWF and MTR in normal-appearing and diffusely abnormal white matter, active/inactive, inactive, remyelinated and ischemic lesions. Both MWI measures correlated well with each other and histology across regions, reflecting the different stages of MS pathology. MTR data showed a considerable influence of components other than myelin and a strong dependency on tissue storage duration. Both MRI and histology revealed increased myelin densities in inactive compared with active/inactive lesions. Chronic inactive lesions harboured single scattered myelin fibres indicative of low-level remyelination. Mixed-effects modelling showed that smaller differences between white matter areas were linked to PLP densities and only to a small extent confounded by iron. MWI reflects differences in myelin lipids and proteins across various levels of myelin densities encountered in MS, including low-level remyelination in chronic inactive lesions.

Indexed as

Multiple SclerosisRemyelinationBrainHumansIronMagnetic Resonance ImagingMyelin SheathNeoplasm ProteinsBCAS1 protein, humanIronNeoplasm ProteinshistopathologyironMRIMTRmultiple sclerosisremyelination

Identifiers

PMID36720269
PMCPMC10580011
OpenAlexW4318685267

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.