Evidence map›Paper›PMID 38918589›Full record

ArticleScientific reports2024

Establishing the distribution of cerebrovascular resistance using computational fluid dynamics and 4D flow MRI.

Axel Vikström, Petter Holmlund, Madelene Holmgren, Anders Wåhlin, Laleh Zarrinkoob, Jan Malm, Anders Eklund

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In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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.

Axel VikströmDepartment of Diagnostics and Intervention, Biomedical Engineering and Radiation Physics, Umeå University, 901 87, Umeå, Sweden. axel.vikstrom@umu.se.
Petter HolmlundDepartment of Diagnostics and Intervention, Biomedical Engineering and Radiation Physics, Umeå University, 901 87, Umeå, Sweden.
Madelene HolmgrenDepartment of Diagnostics and Intervention, Biomedical Engineering and Radiation Physics, Umeå University, 901 87, Umeå, Sweden.
Anders WåhlinDepartment of Diagnostics and Intervention, Biomedical Engineering and Radiation Physics, Umeå University, 901 87, Umeå, Sweden.
Laleh ZarrinkoobDepartment of Diagnostics and Intervention, Surgical and Perioperative Sciences, Umeå University, Umeå, Sweden.
Jan MalmDepartment of Clinical Science, Neurosciences, Umeå University, Umeå, Sweden.
Anders EklundDepartment of Diagnostics and Intervention, Biomedical Engineering and Radiation Physics, Umeå University, 901 87, Umeå, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebrovascular resistance (CVR) regulates blood flow in the brain, but little is known about the vascular resistances of the individual cerebral territories. We present a method to calculate these resistances and investigate how CVR varies in the hemodynamically disturbed brain. We included 48 patients with stroke/TIA (29 with symptomatic carotid stenosis). By combining flow rate (4D flow MRI) and structural computed tomography angiography (CTA) data with computational fluid dynamics (CFD) we computed the perfusion pressures out from the circle of Willis, with which CVR of the MCA, ACA, and PCA territories was estimated. 56 controls were included for comparison of total CVR (tCVR). CVR were 33.8 ± 10.5, 59.0 ± 30.6, and 77.8 ± 21.3 mmHg s/ml for the MCA, ACA, and PCA territories. We found no differences in tCVR between patients, 9.3 ± 1.9 mmHg s/ml, and controls, 9.3 ± 2.0 mmHg s/ml (p = 0.88), nor in territorial CVR in the carotid stenosis patients between ipsilateral and contralateral hemispheres. Territorial resistance associated inversely to territorial brain volume (p < 0.001). These resistances may work as reference values when modelling blood flow in the circle of Willis, and the method can be used when there is need for subject-specific analysis.

Indexed as

Cerebrovascular CirculationHydrodynamicsMagnetic Resonance ImagingVascular ResistanceAgedBlood Flow VelocityBrainCarotid StenosisCircle of WillisComputed Tomography AngiographyFemaleHemodynamicsHumansMaleMiddle AgedStrokeCarotid stenosisCerebrovascular resistanceComputational fluid dynamicsPeripheral cerebral territoriesStroke

Identifiers

PMID38918589
PMCPMC11199643

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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.