Evidence map›Paper›PMID 39007055›Full record

ArticleFrontiers in bioengineering and biotechnology2024

Aurèle Goetz, Pablo Jeken-Rico, Ugo Pelissier, Yves Chau, Jacques Sédat, Elie Hachem

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. 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.

Aurèle GoetzComputing and Fluids Research Group, CEMEF, Mines Paris PSL, Sophia Antipolis, France.
Pablo Jeken-RicoComputing and Fluids Research Group, CEMEF, Mines Paris PSL, Sophia Antipolis, France.
Ugo PelissierComputing and Fluids Research Group, CEMEF, Mines Paris PSL, Sophia Antipolis, France.
Yves ChauDepartment of Neuro-Interventional and Vascular Interventional, University Hospital of Nice, Nice, France.
Jacques SédatDepartment of Neuro-Interventional and Vascular Interventional, University Hospital of Nice, Nice, France.
Elie HachemComputing and Fluids Research Group, CEMEF, Mines Paris PSL, Sophia Antipolis, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in computational fluid dynamics continuously extend the comprehension of aneurysm growth and rupture, intending to assist physicians in devising effective treatment strategies. While most studies have first modelled intracranial aneurysm walls as fully rigid with a focus on understanding blood flow characteristics, some researchers further introduced Fluid-Structure Interaction (FSI) and reported notable haemodynamic alterations for a few aneurysm cases when considering wall compliance. In this work, we explore further this research direction by studying 101 intracranial sidewall aneurysms, emphasizing the differences between rigid and deformable-wall simulations. The proposed dataset along with simulation parameters are shared for the sake of reproducibility. A wide range of haemodynamic patterns has been statistically analyzed with a particular focus on the impact of the wall modelling choice. Notable deviations in flow characteristics and commonly employed risk indicators are reported, particularly with near-dome blood recirculations being significantly impacted by the pulsating dynamics of the walls. This leads to substantial fluctuations in the sac-averaged oscillatory shear index, ranging from -36% to +674% of the standard rigid-wall value. Going a step further, haemodynamics obtained when simulating a flow-diverter stent modelled in conjunction with FSI are showcased for the first time, revealing a 73% increase in systolic sac-average velocity for the compliant-wall setting compared to its rigid counterpart. This last finding demonstrates the decisive impact that FSI modelling can have in predicting treatment outcomes.

Indexed as

arterial wall tissue modellingfluid-structure interactionhaemodynamicsintracranial aneurysmopen-source dataset

Identifiers

PMID39007055
PMCPMC11243300

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Registered trials

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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.