Evidence map›Paper›PMID 33683514›Full record

ArticleBiomechanics and modeling in mechanobiology2021

A framework for incorporating 3D hyperelastic vascular wall models in 1D blood flow simulations.

Alberto Coccarelli, Jason M Carson, Ankush Aggarwal, Sanjay Pant

Open access · hybridAbstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 23 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Alberto CoccarelliZienkiewicz Centre for Computational Engineering, College of Engineering, Swansea University, Swansea, UK. alberto.coccarelli@swansea.ac.uk.ORCID http://orcid.org/0000-0003-1511-9015
Jason M CarsonZienkiewicz Centre for Computational Engineering, College of Engineering, Swansea University, Swansea, UK.
Ankush AggarwalGlasgow Computational Engineering Centre, James Watt School of Engineering, University of Glasgow, Glasgow, UK.
Sanjay PantZienkiewicz Centre for Computational Engineering, College of Engineering, Swansea University, Swansea, UK.
Swansea University · GBUniversity of Glasgow · GB

Funding

Engineering and Physical Sciences Research Council EP/P018912/1Engineering and Physical Sciences Research Council EP/P018912/2Engineering and Physical Sciences Research Council EP/R010811/1Medical Research Council MR/S004076/1UK MRC MR/S004076/1Wellcome Trust
6 · The paper itself

Abstract

We present a novel framework for investigating the role of vascular structure on arterial haemodynamics in large vessels, with a special focus on the human common carotid artery (CCA). The analysis is carried out by adopting a three-dimensional (3D) derived, fibre-reinforced, hyperelastic structural model, which is coupled with an axisymmetric, reduced order model describing blood flow. The vessel transmural pressure and lumen area are related via a Holzapfel-Ogden type of law, and the residual stresses along the thickness and length of the vessel are also accounted for. After a structural characterization of the adopted hyperelastic model, we investigate the link underlying the vascular wall response and blood-flow dynamics by comparing the proposed framework results against a popular tube law. The comparison shows that the behaviour of the model can be captured by the simpler linear surrogate only if a representative value of compliance is applied. Sobol's multi-variable sensitivity analysis is then carried out in order to identify the extent to which the structural parameters have an impact on the CCA haemodynamics. In this case, the local pulse wave velocity (PWV) is used as index for representing the arterial transmission capacity of blood pressure waveforms. The sensitivity analysis suggests that some geometrical factors, such as the stress-free inner radius and opening angle, play a major role on the system's haemodynamics. Subsequently, we quantified the differences in haemodynamic variables obtained from different virtual CCAs, tube laws and flow conditions. Although each artery presents a distinct vascular response, the differences obtained across different flow regimes are not significant. As expected, the linear tube law is unable to accurately capture all the haemodynamic features characterizing the current model. The findings from the sensitivity analysis are further confirmed by investigating the axial stretching effect on the CCA fluid dynamics. This factor does not seem to alter the pressure and flow waveforms. On the contrary, it is shown that, for an axially stretched vessel, the vascular wall exhibits an attenuation in absolute distension and an increase in circumferential stress, corroborating the findings of previous studies. This analysis shows that the new model offers a good balance between computational complexity and physics captured, making it an ideal framework for studies aiming to investigate the profound link between vascular mechanobiology and blood flow.

Indexed as

Pulse Wave AnalysisAlgorithmsBiomechanical PhenomenaBlood Flow VelocityBlood PressureCarotid Artery, CommonElasticityHemodynamicsHumansImaging, Three-DimensionalModels, CardiovascularPressurePrognosisAxial stretchingCommon carotid arteryHyperelasticityOne-dimensional blood flow modellingPulse wave velocityTube law

Identifiers

PMID33683514
PMCPMC8298378
OpenAlexW3134237411

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.