Evidence map›Paper›PMID 40511298›Full record

ArticleFrontiers in bioengineering and biotechnology2025

A fully coupled fluid-structure interaction model for patient-specific analysis of bioprosthetic aortic valve haemodynamics.

Zhongjie Yin, Chlöe Armour, Selene Pirola, Harkamaljot Kandail, Xiaoxin Kan, Pankaj Garg, Rui Li, Toufan Bahrami, Saeed Mirsadraee, Xiao Yun Xu

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Zhongjie YinDepartment of Chemical Engineering, Imperial College London, South Kensington Campus, London, United Kingdom.
Chlöe ArmourDepartment of Chemical Engineering, Imperial College London, South Kensington Campus, London, United Kingdom.
Selene PirolaDepartment of Chemical Engineering, Imperial College London, South Kensington Campus, London, United Kingdom.
Harkamaljot KandailMedtronic Neurovascular, Irvine, CA, United States.
Xiaoxin KanDepartment of Chemical Engineering, Imperial College London, South Kensington Campus, London, United Kingdom.
Pankaj GargNorwich Medical School, University of East Anglia, Norfolk, United Kingdom.
Rui LiNorwich Medical School, University of East Anglia, Norfolk, United Kingdom.
Toufan BahramiNational Heart and Lung Institute, Imperial College London, London, United Kingdom.
Saeed MirsadraeeNational Heart and Lung Institute, Imperial College London, London, United Kingdom.
Xiao Yun XuDepartment of Chemical Engineering, Imperial College London, South Kensington Campus, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bioprosthetic aortic valves (BPAV) have been increasingly used for surgical aortic valve replacement (SAVR), but long-term complications associated with structural valve deterioration remain a concern. The structural behaviour of the valve and its surrounding haemodynamics play a key role in the long-term outcome of SAVR, and these can be quantitively analysed by means of fluid-structure interaction (FSI) simulation. The aim of this study was to develop a fully coupled FSI model for patient-specific analysis of BPAV haemodynamics. Methods: Using the Edwards Magna Ease valve as an example, the workflow included reconstruction of the aortic root from CT images and the creation of valve geometric model based on available measurements made on the device. Two-way fully coupled FSI simulations were performed under patient-specific flow conditions derived from 4D flow magnetic resonance imaging (MRI), the latter also provided data for model validation. Results: The simulation results were in good agreement with haemodynamic features extracted from 4D flow MRI and relevant data in the literature. Furthermore, the FSI model provided additional information that cannot be measured Conclusion: The FSI workflow presented in this study offers a promising tool for patient-specific assessment of aortic valve haemodynamics, and the results may help elucidate the role of haemodynamics in structural valve deterioration.

Indexed as

4D flowbioprosthetic aortic valvefluid-structure interactionhaemodynamicswall shear stress

Identifiers

PMID40511298
PMCPMC12160531

What Socratic 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 Socratic graph.