Evidence map›Paper›PMID 34390015›Full record

ArticleAnnals of neurology2021

7T MRI Differentiates Remyelinated from Demyelinated Multiple Sclerosis Lesions.

Hadar Kolb, Martina Absinta, Erin S Beck, Seung-Kwon Ha, Yeajin Song, Gina Norato, Irene Cortese, Pascal Sati, Govind Nair, Daniel S Reich

Abstract read
In one paragraph

Article in Annals of neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

42 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. TAnnals of clinical and translational neurology · 2026
    Article
  4. Field Strength-Dependent White Matter RMagnetic resonance in medicine · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Imaging Outcomes for Phase 2 Trials Targeting Compartmentalized Inflammation.Multiple sclerosis (Houndmills, Basingstoke, England) · 2024
    Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Review
  20. Quantitative TEuropean radiology · 2024
    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

10 authors.

Hadar KolbTranslational Neuroradiology Section, National Institute of Neurological disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD.ORCID 0000-0002-4178-5858
Martina AbsintaDepartment of Neurology, Johns Hopkins University, Baltimore, MD.ORCID 0000-0003-0276-383X
Erin S BeckTranslational Neuroradiology Section, National Institute of Neurological disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD.
Seung-Kwon HaTranslational Neuroradiology Section, National Institute of Neurological disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD.
Yeajin SongTranslational Neuroradiology Section, National Institute of Neurological disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD.
Gina NoratoClinical Trials Unit, NINDS, NIH, Bethesda, MD.
Irene CorteseNeuroimmunology Clinic, NINDS, NIH, Bethesda, MD.
Pascal SatiTranslational Neuroradiology Section, National Institute of Neurological disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD.
Govind NairTranslational Neuroradiology Section, National Institute of Neurological disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD.
Daniel S ReichTranslational Neuroradiology Section, National Institute of Neurological disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD.ORCID 0000-0002-2628-4334

Funding

Multimodal MRI in Multiple SclerosisZIANS003119 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI REICH, DANIEL · 2010 to 2025
$53.4M
Translational Studies in Progressive Multifocal LeukoencephalopathyZIANS009426 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI CORTESE, IRENE · 2021 to 2025
$7.5M
Cariplo FoundationConrad N. Hilton FoundationIntramural Research Program of the National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH)Myelin Repair FoundationNational Multiple Sclerosis Societythe Adelson Medical Research Foundation
6 · The paper itself

Abstract

objectiveTo noninvasively assess myelin status in chronic white matter lesions of multiple sclerosis (MS), we developed and evaluated a simple classification scheme based on T1 relaxation time maps derived from 7-tesla postmortem and in vivo MRI.

methodsUsing the MP2RAGE MRI sequence, we classified 36 lesions from 4 postmortem MS brains as "long-T1," "short-T1," and "mixed-T1" by visual comparison to neocortex. Within these groups, we compared T1 times to histologically derived measures of myelin and axons. We performed similar analysis of 235 chronic lesions with known date of onset in 25 MS cases in vivo and in a validation cohort of 222 lesions from 66 MS cases, investigating associations with clinical and radiological outcomes.

resultsPostmortem, lesions classified qualitatively as long-T1, short-T1, and mixed-T1 corresponded to fully demyelinated, fully remyelinated, and mixed demyelinated/remyelinated lesions, respectively (p ≤ 0.001). Demyelination (rather than axon loss) dominantly contributed to initial T1 prolongation. We observed lesions with similar characteristics in vivo, allowing manual classification with substantial interrater and excellent intrarater reliability. Short-T1 lesions were most common in the deep white matter, whereas long-T1 and mixed-T1 lesions were prevalent in the juxtacortical and periventricular white matter (p = 0.02) and were much more likely to have paramagnetic rims suggesting chronic inflammation (p < 0.001). Older age at the time of lesion formation portended less remyelination (p = 0.007).

interpretation7-tesla T1 mapping with MP2RAGE, a clinically available MRI method, allows qualitative and quantitative classification of chronic MS lesions according to myelin content, rendering straightforward the tracking of lesional myelination changes over time. ANN NEUROL 2021;90:612-626.

Indexed as

Magnetic Resonance ImagingAgedAxonsCohort StudiesFemaleHumansMaleMiddle AgedMultiple SclerosisMyelin SheathRadiographyRemyelinationWhite Matter

Identifiers

PMID34390015
PMCPMC9291186

What OpenQuestion holds

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Registered trials

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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.