Evidence map›Paper›PMID 28751011›Full record

ArticleMedical engineering & physics2017

A coupled mitral valve-left ventricle model with fluid-structure interaction.

Hao Gao, Liuyang Feng, Nan Qi, Colin Berry, Boyce E Griffith, Xiaoyu Luo

Open access · hybridAbstract read
In one paragraph

Article in Medical engineering & physics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

30 citing papers in PubMed, 77 citations in OpenAlex.

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  5. Review
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  11. Clinical Impact of Computational Heart Valve Models.Materials (Basel, Switzerland) · 2022
    Review
  12. Article
  13. Article
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  15. Article
  16. A poroelastic immersed finite element framework for modelling cardiac perfusion and fluid-structure interaction.International journal for numerical methods in biomedical engineering · 2021
    Article
  17. 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

6 authors at 2 institutions in 2 countries.

Hao GaoSchool of Mathematics and Statistics, University of Glasgow, Glasgow, UK. Electronic address: hao.gao@glasgow.ac.uk.
Liuyang FengSchool of Mathematics and Statistics, University of Glasgow, Glasgow, UK.
Nan QiSchool of Mathematics and Statistics, University of Glasgow, Glasgow, UK.
Colin BerryInstitute of Cardiovascular and Medical Science, University of Glasgow, Glasgow, UK.
Boyce E GriffithDepartments of Mathematics and Biomedical Engineering and McAllister Heart Institute, University of North Carolina, Chapel Hill, NC, USA.
Xiaoyu LuoSchool of Mathematics and Statistics, University of Glasgow, Glasgow, UK.
University of Glasgow · GBUniversity of North Carolina at Chapel Hill · US

Funding

Mathematical modeling and computer simulation of aortic dissectionR01HL117063 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GRIFFITH, BOYCE EUGENE · 2013 to 2017
$2.3M
British Heart Foundation FS/15/54/31639British Heart Foundation PG/14/64/31043Medical Research Council MR/N003403/1NHLBI NIH HHS R01 HL117063
6 · The paper itself

Abstract

Understanding the interaction between the valves and walls of the heart is important in assessing and subsequently treating heart dysfunction. This study presents an integrated model of the mitral valve (MV) coupled to the left ventricle (LV), with the geometry derived from in vivo clinical magnetic resonance images. Numerical simulations using this coupled MV-LV model are developed using an immersed boundary/finite element method. The model incorporates detailed valvular features, left ventricular contraction, nonlinear soft tissue mechanics, and fluid-mediated interactions between the MV and LV wall. We use the model to simulate cardiac function from diastole to systole. Numerically predicted LV pump function agrees well with in vivo data of the imaged healthy volunteer, including the peak aortic flow rate, the systolic ejection duration, and the LV ejection fraction. In vivo MV dynamics are qualitatively captured. We further demonstrate that the diastolic filling pressure increases significantly with impaired myocardial active relaxation to maintain a normal cardiac output. This is consistent with clinical observations. The coupled model has the potential to advance our fundamental knowledge of mechanisms underlying MV-LV interaction, and help in risk stratification and optimisation of therapies for heart diseases.

Indexed as

Models, CardiovascularBlood Flow VelocityBlood PressureComputer SimulationHeart VentriclesHumansMagnetic Resonance ImagingMitral ValveStroke VolumeVentricular Function, LeftFinite element methodFluid–structure interactionImmersed boundary methodLeft ventricleMitral valveSoft tissue mechanics

Identifiers

PMID28751011
PMCPMC6779302
OpenAlexW2607112680

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.