Evidence map›Paper›PMID 34549354›Full record

ArticleBiomechanics and modeling in mechanobiology2021

A design-based model of the aortic valve for fluid-structure interaction.

Alexander D Kaiser, Rohan Shad, William Hiesinger, Alison L Marsden

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Simulation-based design of bicuspidization of the aortic valve.The Journal of thoracic and cardiovascular surgery · 2024
    Article
  16. CardioVision: A fully automated deep learning package for medical image segmentation and reconstruction generating digital twins for patients with aortic stenosis.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. Review
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

4 authors.

Alexander D KaiserInstitute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA. alexdkaiser@stanford.edu.ORCID http://orcid.org/0000-0001-7241-9773
Rohan ShadStanford Cardiovascular Institute, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-0453-9041
William HiesingerStanford Cardiovascular Institute, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-3548-2578
Alison L MarsdenInstitute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-1902-171X

Funding

T32 Training Program in Mechanisms and Innovation in Vascular DiseaseT32HL098049 · NHLBI · STANFORD UNIVERSITY · PI Nicholas James Leeper, Philip S Tsao · 2010 to 2026
$6.3M
NHLBI NIH HHS 1T32HL098049NHLBI NIH HHS T32 HL098049
6 · The paper itself

Abstract

This paper presents a new method for modeling the mechanics of the aortic valve and simulates its interaction with blood. As much as possible, the model construction is based on first principles, but such that the model is consistent with experimental observations. We require that tension in the leaflets must support a pressure, then derive a system of partial differential equations governing its mechanical equilibrium. The solution to these differential equations is referred to as the predicted loaded configuration; it includes the loaded leaflet geometry, fiber orientations and tensions needed to support the prescribed load. From this configuration, we derive a reference configuration and constitutive law. In fluid-structure interaction simulations with the immersed boundary method, the model seals reliably under physiological pressures and opens freely over multiple cardiac cycles. Further, model closure is robust to extreme hypo- and hypertensive pressures. Then, exploiting the unique features of this model construction, we conduct experiments on reference configurations, constitutive laws and gross morphology. These experiments suggest the following conclusions: (1) The loaded geometry, tensions and tangent moduli primarily determine model function. (2) Alterations to the reference configuration have little effect if the predicted loaded configuration is identical. (3) The leaflets must have sufficiently nonlinear material response to function over a variety of pressures. (4) Valve performance is highly sensitive to free edge length and leaflet height. These conclusions suggest appropriate gross morphology and material properties for the design of prosthetic aortic valves. In future studies, our aortic valve modeling framework can be used with patient-specific models of vascular or cardiac flow.

Indexed as

Models, CardiovascularProsthesis DesignRheologyAortic ValveComputer SimulationHumansPressureAortic valveAortic valve fluid-structure interactionAortic valve mechanicsAortic valve modelingHeart valve modelingImmersed boundary method

Identifiers

PMID34549354
PMCPMC10752438

What OpenQuestion holds

Textmetadata
LicenceTDM
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.