Evidence map›Paper›PMID 27259344›Full record

ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2017

Anisotropic cerebral vascular architecture causes orientation dependency in cerebral blood flow and volume measured with dynamic susceptibility contrast magnetic resonance imaging.

Enedino Hernández-Torres, Nora Kassner, Nils Daniel Forkert, Luxi Wei, Vanessa Wiggermann, Madeleine Daemen, Lindsay Machan, Anthony Traboulsee, David Li, Alexander Rauscher

Abstract read
In one paragraph

Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  9. Static and dynamic BOLD fMRI components along white matter fibre tracts and their dependence on the orientation of the local diffusion tensor axis relative to the BJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
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  14. Characterizing white matter fiber orientation effects on multi-parametric quantitative BOLD assessment of oxygen extraction fraction.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020
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  19. Poster Viewing Sessions PA00-A01 to PA00-A49.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2019
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  20. Review
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.

Enedino Hernández-Torres1 Department of Pediatrics, Division of Neurology, University of British Columbia, Vancouver, Canada.
Nora Kassner3 Department of Physics, University of Heidelberg, Heidelberg, Germany.
Nils Daniel Forkert4 Department of Radiology and Hotchkiss Brain Institute, University of Calgary, Calgary, Canada.
Luxi Wei2 UBC MRI Research Centre, University of British Columbia, Vancouver, Canada.
Vanessa Wiggermann1 Department of Pediatrics, Division of Neurology, University of British Columbia, Vancouver, Canada.
Madeleine Daemen6 Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Lindsay Machan7 Department of Radiology, University of British Columbia, Vancouver, Canada.
Anthony Traboulsee8 Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, Canada.
David Li2 UBC MRI Research Centre, University of British Columbia, Vancouver, Canada.
Alexander Rauscher1 Department of Pediatrics, Division of Neurology, University of British Columbia, Vancouver, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measurements of cerebral perfusion using dynamic susceptibility contrast magnetic resonance imaging rely on the assumption of isotropic vascular architecture. However, a considerable fraction of vessels runs in parallel with white matter tracts. Here, we investigate the effects of tissue orientation on dynamic susceptibility contrast magnetic resonance imaging. Tissue orientation was measured using diffusion tensor imaging and dynamic susceptibility contrast was performed with gradient echo planar imaging. Perfusion parameters and the raw dynamic susceptibility contrast signals were correlated with tissue orientation. Additionally, numerical simulations were performed for a range of vascular volumes of both the isotropic vascular bed and anisotropic vessel components, as well as for a range of contrast agent concentrations. The effect of the contrast agent was much larger in white matter tissue perpendicular to the main magnetic field compared to white matter parallel to the main magnetic field. In addition, cerebral blood flow and cerebral blood volume were affected in the same way with angle-dependent variations of up to 130%. Mean transit time and time to maximum of the residual curve exhibited weak orientation dependency of 10%. Numerical simulations agreed with the measured data, showing that one-third of the white matter vascular volume is comprised of vessels running in parallel with the fibre tracts.

Indexed as

AnisotropyCerebral Blood VolumeCerebrovascular CirculationContrast MediaDiffusion Tensor ImagingEcho-Planar ImagingHumansMagnetic Resonance ImagingModels, TheoreticalWhite MatterContrast Mediaanisotropyblood vesselsCerebral blood flowcerebral blood volumediffusion tensor imagingmultiple sclerosiswhite matter

Identifiers

PMID27259344
PMCPMC5363485

What OpenQuestion holds

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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.