Evidence map›Paper›PMID 28778565›Full record

ArticleMedical engineering & physics2017

Image-based immersed boundary model of the aortic root.

Ali Hasan, Ebrahim M Kolahdouz, Andinet Enquobahrie, Thomas G Caranasos, John P Vavalle, Boyce E Griffith

Open access · greenAbstract 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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

15 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. A design-based model of the aortic valve for fluid-structure interaction.Biomechanics and modeling in mechanobiology · 2021
    Article
  11. Article
  12. Article
  13. An Immersed Interface Method for Discrete Surfaces.Journal of computational physics · 2020
    Article
  14. Hybrid finite difference/finite element immersed boundary method.International journal for numerical methods in biomedical engineering · 2017
    Article
  15. 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

6 authors at 2 institutions in 1 country.

Ali HasanDepartment of Mathematics, University of North Carolina, Chapel Hill, NC, USA.
Ebrahim M KolahdouzDepartment of Mathematics, University of North Carolina, Chapel Hill, NC, USA.
Andinet EnquobahrieMedical Computing Group, Kitware, Inc., Carrboro, NC, USA.
Thomas G CaranasosDivision of Cardiothoracic Surgery, Department of Surgery, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
John P VavalleDivision of Cardiology, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Boyce E GriffithDepartment of Mathematics and McAllister Heart Institute, University of North Carolina, Chapel Hill, NC, USA. Electronic address: boyceg@unc.edu.
University of North Carolina at Chapel Hill · USKitware (United States) · 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
NHLBI NIH HHS R01 HL117063
6 · The paper itself

Abstract

Each year, approximately 300,000 heart valve repair or replacement procedures are performed worldwide, including approximately 70,000 aortic valve replacement surgeries in the United States alone. Computational platforms for simulating cardiovascular devices such as prosthetic heart valves promise to improve device design and assist in treatment planning, including patient-specific device selection. This paper describes progress in constructing anatomically and physiologically realistic immersed boundary (IB) models of the dynamics of the aortic root and ascending aorta. This work builds on earlier IB models of fluid-structure interaction (FSI) in the aortic root, which previously achieved realistic hemodynamics over multiple cardiac cycles, but which also were limited to simplified aortic geometries and idealized descriptions of the biomechanics of the aortic valve cusps. By contrast, the model described herein uses an anatomical geometry reconstructed from patient-specific computed tomography angiography (CTA) data, and employs a description of the elasticity of the aortic valve leaflets based on a fiber-reinforced constitutive model fit to experimental tensile test data. The resulting model generates physiological pressures in both systole and diastole, and yields realistic cardiac output and stroke volume at physiological Reynolds numbers. Contact between the valve leaflets during diastole is handled automatically by the IB method, yielding a fully competent valve model that supports a physiological diastolic pressure load without regurgitation. Numerical tests show that the model is able to resolve the leaflet biomechanics in diastole and early systole at practical grid spacings. The model is also used to examine differences in the mechanics and fluid dynamics yielded by fresh valve leaflets and glutaraldehyde-fixed leaflets similar to those used in bioprosthetic heart valves. Although there are large differences in the leaflet deformations during diastole, the differences in the open configurations of the valve models are relatively small, and nearly identical hemodynamics are obtained in all cases considered.

Indexed as

Models, CardiovascularAortic ValveBlood Flow VelocityBlood PressureCardiac OutputComputer SimulationHumansProsthesis FittingTomography, X-Ray ComputedTranscatheter Aortic Valve ReplacementAortic valveFinite element methodFluid–structure interactionImmersed boundary methodNonlinear elasticity

Identifiers

PMID28778565
PMCPMC5599309
OpenAlexW2612837229

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.