Evidence map›Paper›PMID 30937853›Full record

ArticleCardiovascular engineering and technology2019

High-Frequency Fluctuations in Post-stenotic Patient Specific Carotid Stenosis Fluid Dynamics: A Computational Fluid Dynamics Strategy Study.

Viviana Mancini, Aslak W Bergersen, Jan Vierendeels, Patrick Segers, Kristian Valen-Sendstad

Abstract readComparative Study
In one paragraph

Article in Cardiovascular engineering and technology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

13 citing papers in PubMed.

  1. Article
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  6. Fundamentals of turbulent flow spectrum imaging.Magnetic resonance in medicine · 2022
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  11. Physiologic blood flow is turbulent.Scientific reports · 2020
    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

5 authors.

Viviana ManciniIBiTech-bioMMeda, Ghent University, 9000, Ghent, Belgium. viviana.mancini@ugent.be.ORCID 0000-0003-4775-6115
Aslak W BergersenDepartment of Computational Physiology, Simula Research Laboratory, 1364, Fornebu, Norway.ORCID 0000-0001-5063-3680
Jan VierendeelsDepartment of Flow Heat and Combustion Mechanics, Ghent University, 9000, Ghent, Belgium.
Patrick SegersIBiTech-bioMMeda, Ghent University, 9000, Ghent, Belgium.ORCID 0000-0003-3870-3409
Kristian Valen-SendstadDepartment of Computational Physiology, Simula Research Laboratory, 1364, Fornebu, Norway.ORCID 0000-0002-2907-0171

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeScreening of asymptomatic carotid stenoses is performed by auscultation of the carotid bruit, but the sensitivity is poor. Instead, it has been suggested to detect carotid bruit as neck's skin vibrations. We here take a first step towards a computational fluid dynamics proof-of-concept study, and investigate the robustness of our numerical approach for capturing high-frequent fluctuations in the post-stenotic flow. The aim was to find an ideal solution strategy from a pragmatic point of view, balancing accuracy with computational cost comparing an under-resolved direct numerical simulation (DNS) approach vs. three common large eddy simulation (LES) models (static/dynamic Smagorinsky and Sigma).

methodWe found a reference solution by performing a spatial and temporal refinement study of a stenosed carotid bifurcation with constant flow rate. The reference solution [Formula: see text] was compared against LES for both a constant and pulsatile flow.

resultsOnly the Sigma and Dynamic Smagorinsky models were able to replicate the flow field of the reference solution for a pulsatile simulation, however the computational cost of the Sigma model was lower. However, none of the sub-grid scale models were able to replicate the high-frequent flow in the peak-systolic constant flow rate simulations, which had a higher mean Reynolds number.

conclusionsThe Sigma model was the best combination between accuracy and cost for simulating the pulsatile post-stenotic flow field, whereas for the constant flow rate, the under-resolved DNS approach was better. These results can be used as a reference for future studies investigating high-frequent flow features.

Indexed as

HemodynamicsModels, CardiovascularPatient-Specific ModelingAgedAsymptomatic DiseasesBlood Flow VelocityCarotid Artery, CommonCarotid StenosisComputed Tomography AngiographyFinite Element AnalysisHumansHydrodynamicsMaleNumerical Analysis, Computer-AssistedPredictive Value of TestsProof of Concept StudyCarotid stenosisCFDFinite elementsLESOasis

Identifiers

PMID30937853
PMCPMC6527791

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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.