ArticleFrontiers in bioengineering and biotechnology2025
Mechano-electrical-fluid interaction left-ventricle model for numerical evaluation of aortic valve hemodynamics.
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 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Viscoelastic Properties of Porcine Pericardium Under Biaxial Tensile Creep and Stress Relaxation: Application for Novel Aortic Valve Bioprosthesis Design.Bioengineering (Basel, Switzerland) · 2026Article
- Anisotropic hyperelastic properties of porcine pericardium under equibiaxial loading: implications for aortic valve design.Frontiers in bioengineering and biotechnology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Objective: Aortic valve simulation has a crucial meaning for clinical applications like the prediction of transcatheter aortic valve implantation or the Ozaki procedure. One of the main aspects is the inflow boundary condition because it has a strong effect on hemodynamic flow simulation results. Most researchers adopt a 2-D profile derived from ultrasound measurements for 3-D fluid-structure interaction simulations that do not take into account several physiological effects. Methods: A model including left ventricle contraction and blood flow in the aorta segment with aortic valve leaflets was developed. A mechano-electrical-fluidic interaction model of the left ventricle was developed to assess a 3-D profile of blood passing to the aortic valve. The effect of complex fiber architecture in the left ventricle geometry model was taken into account. After that, this profile was set as an inlet in the aorta segments to perform 2-way FSI blood flow for numerical evaluation of aortic valve hemodynamics. Results: It was shown that during the cardiac cycle, the left ventricle's electric potential varies between -80 mV and 20 mV. At the systolic peak, the maximum deformations of the left ventricle range from 38% to 60%. The trajectories of the left ventricle apex and torsion angle were derived. The displacement of the myocardial tissue does not differ significantly among the cases, ranging from 15 to 20 mm, with the greatest shift occurring in the opposite direction. Flow velocities were up to 1.8 m·s Conclusion: The findings suggest that ventricular geometry significantly influences the stress distribution in the aortic valve leaflets and the flow velocities, consistent with previous computational studies. Understanding these relationships is crucial for predicting valve performance and identifying potential areas of high stress that may contribute to valvular pathologies such as calcification and leaflet fatigue.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.