Evidence map›Paper›PMID 31556169›Full record

ArticleMagnetic resonance in medicine2020

Venous contribution to sodium MRI in the human brain.

Ian D Driver, Robert W Stobbe, Richard G Wise, Christian Beaulieu

Open access · hybridAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
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  8. Venous contribution to sodium MRI in the human brain.Magnetic resonance in medicine · 2020
    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

4 authors at 2 institutions in 2 countries.

Ian D DriverCardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, United Kingdom.ORCID 0000-0001-6815-0134
Robert W StobbeDepartment of Biomedical Engineering, University of Alberta, Edmonton, Alberta, Canada.ORCID 0000-0002-6223-5222
Richard G WiseCardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, United Kingdom.
Christian BeaulieuDepartment of Biomedical Engineering, University of Alberta, Edmonton, Alberta, Canada.
Cardiff University · GBUniversity of Alberta · CA

Funding

Medical Research Council MR/M008932/1Wellcome Trust
6 · The paper itself

Abstract

purposeSodium MRI shows great promise as a marker for cerebral metabolic dysfunction in stroke, brain tumor, and neurodegenerative pathologies. However, cerebral blood vessels, whose volume and function are perturbed in these pathologies, have elevated sodium concentrations relative to surrounding tissue. This study aims to assess whether this fluid compartment could bias measurements of tissue sodium using MRI.

methodsDensity-weighted and B

resultsLinear regression demonstrated a significant venous sodium contribution above the underlying tissue signal. The apparent venous sodium concentrations derived from regression were 65.8 ± 4.5 mM (all brain tissue), 71.0 ± 7.4 mM (gray matter), and 55.0 ± 4.7 mM (white matter).

conclusionAlthough the partial vein linear regression did not yield the expected sodium concentration in blood (~87 mM), likely the result of point spread function smearing, this regression highlights that blood compartments may bias brain tissue sodium signals across neurological conditions where blood volumes may differ.

Indexed as

Magnetic Resonance ImagingSodiumBrainBrain MappingGray MatterHumansSodium23Na MRIbloodsodium MRItissue sodium concentrationveins

Identifiers

PMID31556169
PMCPMC6972645
OpenAlexW2974987439

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.