Evidence map›Paper›PMID 40598716›Full record

ArticleMagnetic resonance in medicine2025

Myelin water and tensor-valued diffusion imaging: (How) are they related?

Sharada Balaji, Adam V Dvorak, Neale Wiley, Erin L MacMillan, Anthony Traboulsee, Irene M Vavasour, Guillaume Gilbert, G R Wayne Moore, David K B Li, Cornelia Laule and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Sharada BalajiPhysics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.ORCID https://orcid.org/0000-0002-6232-8488
Adam V DvorakPhysics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.ORCID https://orcid.org/0000-0001-6107-5610
Neale WileyPhysics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.
Erin L MacMillanMR Clinical Science, Philips Canada, Mississauga, Ontario, Canada.ORCID https://orcid.org/0000-0002-8515-5858
Anthony TraboulseeMedicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada.
Irene M VavasourPhysics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.
Guillaume GilbertMR Clinical Science, Philips Canada, Mississauga, Ontario, Canada.
G R Wayne MooreMedicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada.
David K B LiRadiology, University of British Columbia, Vancouver, British Columbia, Canada.
Cornelia LaulePhysics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.
Alex L MacKayPhysics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.
Shannon KolindPhysics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.

Funding

CIHR 178273Michael Smith Health Research BCMultiple Sclerosis Society of Canada Catalyst Research Grant 920406Natural Sciences and Engineering Research Council (NSERC) Canada Graduate Scholarship- Doctoral RGPIN-2015-04513Natural Sciences and Engineering Research Council (NSERC) Canada Graduate Scholarship- Doctoral RGPIN-2018-23904UBC MRI Research RRID: SCR_025374
6 · The paper itself

Abstract

purposeConventional MRI offers limited insight into specific characteristics of central nervous system tissue, whereas quantitative MRI measures can provide more detailed information about different aspects of microstructure. A multi-metric approach involving multiple quantitative measures may improve our understanding of healthy tissue and pathology. Previous work shows myelin water fraction (MWF) is related to fractional anisotropy (FA), but this relationship is complicated by confounding factors that may be resolved using tensor-valued diffusion imaging, which yields measurements of microscopic FA (μFA) and tissue heterogeneity (C

methodsWe assessed the relationship between MWF, FA, μFA, and C

resultsAlthough correlation analysis showed moderate, but potentially misleading relationships between metrics, tract profiling showed consistent tract-specific pattern differences between metrics in healthy tissue. In MS, MWF, μFA, and C

conclusionUsing MWF, μFA, and C

Indexed as

Body WaterBrainDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingMyelin SheathWaterAdultAnisotropyFemaleHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedMaleMiddle AgedMultiple SclerosisWhite MatterWaterb‐tensor diffusionmicroscopic fractional anisotropymyelin water imagingtensor‐valued diffusiontract profiling

Identifiers

PMID40598716
PMCPMC12393197

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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.