Evidence map›Paper›PMID 38758460›Full record

ArticleAnnals of biomedical engineering2024

Numerical Modeling of Flow in the Cerebral Vasculature: Understanding Changes in Collateral Flow Directions in the Circle of Willis for a Cohort of Vasospasm Patients Through Image-Based Computational Fluid Dynamics.

Angela Straccia, Michael C Barbour, Fanette Chassagne, David Bass, Guilherme Barros, Daniel Leotta, Florence Sheehan, Deepak Sharma, Michael R Levitt, Alberto Aliseda

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 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.

  1. Article
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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

10 authors.

Angela StracciaDepartment of Mechanical Engineering, University of Washington, Seattle, WA, USA. straccia@uw.edu.ORCID http://orcid.org/0009-0009-4997-0028
Michael C BarbourDepartment of Mechanical Engineering, University of Washington, Seattle, WA, USA.
Fanette ChassagneINSERM U1059 Sainboise, Mines Saint-Étienne, Saint-Étienne, France.
David BassDepartment of Neurological Surgery, University of Washington, Seattle, WA, USA.
Guilherme BarrosDepartment of Neurological Surgery, University of Washington, Seattle, WA, USA.
Daniel LeottaApplied Physics Laboratory, University of Washington, Seattle, WA, USA.
Florence SheehanDepartment of Medicine, University of Washington, Seattle, WA, USA.
Deepak SharmaDepartment of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA.
Michael R LevittDepartment of Neurological Surgery, University of Washington, Seattle, WA, USA.
Alberto AlisedaDepartment of Mechanical Engineering, University of Washington, Seattle, WA, USA.

Funding

Improving the computational modeling of coiled cerebral aneurysms through synchrotron microtomographyR01NS105692 · NINDS · UNIVERSITY OF WASHINGTON · PI Michael Robert Levitt · 2018 to 2026
$3.5M
Improving Patient Safety in Subarachnoid Hemorrhage Using Transcranial Doppler (TCD) Simulation for Bedside Diagnosis of Cerebral VasospasmR18HS026690 · AHRQ · UNIVERSITY OF WASHINGTON · PI SHARMA, DEEPAK · 2019 to 2022
$1.5M
Neurosurgery research training in interdisciplinary neuroscienceR25NS079200 · NINDS · UNIVERSITY OF WASHINGTON · PI OJEMANN, JEFFREY G · 2012 to 2021
$1.2M
AHRQ HHS R18 HS026690American Heart Association 19POST34450082National Institute of Health R01NS105692National Institute of Health R25NS07920National Science Foundation Graduate Research Fellowship Program No. 1 R18 HS 026690NINDS NIH HHS R01 NS105692NINDS NIH HHS R25 NS079200
6 · The paper itself

Abstract

The Circle of Willis (CoW) is a ring-like network of blood vessels that perfuses the brain. Flow in the collateral pathways that connect major arterial inputs in the CoW change dynamically in response to vessel narrowing or occlusion. Vasospasm is an involuntary constriction of blood vessels following subarachnoid hemorrhage (SAH), which can lead to stroke. This study investigated interactions between localization of vasospasm in the CoW, vasospasm severity, anatomical variations, and changes in collateral flow directions. Patient-specific computational fluid dynamics (CFD) simulations were created for 25 vasospasm patients. Computed tomographic angiography scans were segmented capturing the anatomical variation and stenosis due to vasospasm. Transcranial Doppler ultrasound measurements of velocity were used to define boundary conditions. Digital subtraction angiography was analyzed to determine the directions and magnitudes of collateral flows as well as vasospasm severity in each vessel. Percent changes in resistance and viscous dissipation were analyzed to quantify vasospasm severity and localization of vasospasm in a specific region of the CoW. Angiographic severity correlated well with percent changes in resistance and viscous dissipation across all cerebral vessels. Changes in flow direction were observed in collateral pathways of some patients with localized vasospasm, while no significant changes in flow direction were observed in others. CFD simulations can be leveraged to quantify the localization and severity of vasospasm in SAH patients. These factors as well as anatomical variation may lead to changes in collateral flow directions. Future work could relate localization and vasospasm severity to clinical outcomes like the development of infarct.

Indexed as

Cerebrovascular CirculationCircle of WillisModels, CardiovascularVasospasm, IntracranialAdultAgedCollateral CirculationFemaleHumansHydrodynamicsMaleMiddle AgedCerebral flowCircle of WillisCollateral pathwaysComputational fluid dynamicsNumerical modelingPatient-specific modelingVasospasm

Identifiers

PMID38758460
PMCPMC11329356

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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.