Evidence map›Paper›PMID 31676797›Full record

ArticleScientific reports2019

On the optimal choice of a hyperelastic model of ruptured and unruptured cerebral aneurysm.

D V Parshin, A I Lipovka, A S Yunoshev, K S Ovsyannikov, A V Dubovoy, A P Chupakhin

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  4. Computational Fluid Dynamic Simulations of Cerebral Aneurysms.Advances in experimental medicine and biology · 2024
    Review
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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

6 authors at 3 institutions in 1 country.

D V ParshinLavrentyev Institute of Hydrodynamics, SB RAS, Lavrentyev av 15, Novosibirsk, 630099, Russian Federation. parshin@hydro.nsc.ru.
A I LipovkaNovosibirsk State University, Novosibirsk, 630090, Russian Federation.
A S YunoshevLavrentyev Institute of Hydrodynamics, SB RAS, Lavrentyev av 15, Novosibirsk, 630099, Russian Federation.
K S OvsyannikovFederal Neurosurgical Center, Novosibirsk, 630048, Russian Federation.
A V DubovoyFederal Neurosurgical Center, Novosibirsk, 630048, Russian Federation.
A P ChupakhinLavrentyev Institute of Hydrodynamics, SB RAS, Lavrentyev av 15, Novosibirsk, 630099, Russian Federation.
Lavrentyev Institute of Hydrodynamics · RUFederal Neurosurgical Center Novosibirsk · RUNovosibirsk State University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last decade, preoperative modelling of the treatment of cerebral aneurysms is being actively developed. Fluid-structure interaction problem is a key point of a such modelling. Hence arises the question about the reasonable choice of the model of the vessel and aneurysm wall material to build the adequate model from the physical point of view. This study covers experimental investigation of 8 tissue samples of cerebral aneurysms and 1 tissue sample of a healthy cerebral artery. Results on statistical significance in ultimate stress for the classification of 2 cohorts of aneurysms: ruptured and unruptured described earlier in the literature were confirmed (p ≤ 0.01). We used the four most common models of hyperelastic material: Yeoh, Neo-Hookean and Mooney-Rivlin (3 and 5 parameter) models to describe the experimental data. In this study for the first time, we obtained a classification of hyperelastic models of cerebral aneurysm tissue, which allows to choose the most appropriate model for the simulation problems requirements depending on the physical interpretation of the considered problem: aneurysm status and range of deformation.

Indexed as

Models, CardiovascularStress, MechanicalAneurysm, RupturedCerebral ArteriesFemaleHumansIntracranial AneurysmMaleMiddle Aged

Identifiers

PMID31676797
PMCPMC6825163
OpenAlexW2984423608

What OpenQuestion holds

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LicenceCC BY
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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.