Evidence map›Paper›PMID 34482092›Full record

ArticleJournal of the mechanical behavior of biomedical materials2021

Simulating the time evolving geometry, mechanical properties, and fibrous structure of bioprosthetic heart valve leaflets under cyclic loading.

Will Zhang, Shruti Motiwale, Ming-Chen Hsu, Michael S Sacks

Open access · greenAbstract read
In one paragraph

Article in Journal of the mechanical behavior of biomedical materials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 29 citations in OpenAlex.

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  7. A novel diffusion tensor based three-dimensional constitutive model for human breast tissue.Journal of the mechanical behavior of biomedical materials · 2025
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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

4 authors at 2 institutions in 1 country.

Will ZhangJames T. Willerson Center for Cardiovascular Modeling and Simulation, Oden Institute for Computational Engineering and Sciences and the Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712-0027, USA.
Shruti MotiwaleJames T. Willerson Center for Cardiovascular Modeling and Simulation, Oden Institute for Computational Engineering and Sciences and the Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712-0027, USA.
Ming-Chen HsuComputational Fluid-Structure Interaction Laboratory, Department of Mechanical Engineering, Iowa State University, Ames, IA 50011-2030, USA.
Michael S SacksJames T. Willerson Center for Cardiovascular Modeling and Simulation, Oden Institute for Computational Engineering and Sciences and the Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712-0027, USA. Electronic address: msacks@oden.utexas.edu.
The University of Texas at Austin · USIowa State University · US

Funding

Quantitative Methods for Optimizing IMR RepairR01HL073021 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI GORMAN, ROBERT C, SACKS, MICHAEL S · 2004 to 2022
$7.6M
Echocardiography to Predict Recurrent IMR After Surgical Mitral Valve ReplacementR01HL103723 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI GORMAN, ROBERT C, HUNG, JUDY W · 2011 to 2020
$5.3M
Biomechanical indicators of bicuspid aortic valve dysfunctionR01HL142504 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI GORMAN, ROBERT C, HSU, MING-CHEN · 2018 to 2021
$2.9M
Design and Simulation of Valvular Replacement BiomaterialsR01HL108330 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI GORMAN, JOSEPH H, SACKS, MICHAEL S · 2012 to 2015
$2.3M
Novel Simulation Technologies for BHV Long-Term DurabilityR01HL129077 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI HUGHES, THOMAS J., MANNING, KEEFE B · 2016 to 2019
$2.1M
ENHANCED DURABILITY OF BIOPROSTHETIC HEART VALVESR01HL063026 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SACKS, MICHAEL S · 2001 to 2004
$718k
Fluid-structure simulation for prosthetic heart valvesR56HL071814 · NHLBI · UNIVERSITY OF IOWA · PI CHANDRAN, KRISHNAN B, SACKS, MICHAEL S · 2009 to 2009
$496k
NHLBI NIH HHS R01 HL063026NHLBI NIH HHS R01 HL073021NHLBI NIH HHS R01 HL103723NHLBI NIH HHS R01 HL108330NHLBI NIH HHS R01 HL129077NHLBI NIH HHS R01 HL142504NHLBI NIH HHS R56 HL071814
6 · The paper itself

Abstract

Currently, the most common replacement heart valve design is the 'bioprosthetic' heart valve (BHV), which has important advantages in that it does not require permanent anti-coagulation therapy, operates noiselessly, and has blood flow characteristics similar to the native valve. BHVs are typically fabricated from glutaraldehyde-crosslinked pericardial xenograft tissue biomaterials (XTBs) attached to a rigid, semi-flexible, or fully collapsible stent in the case of the increasingly popular transcutaneous aortic valve replacement (TAVR). While current TAVR assessments are positive, clinical results to date are generally limited to <2 years. Since TAVR leaflets are constructed using thinner XTBs, their mechanical demands are substantially greater than surgical BHV due to the increased stresses during in vivo operation, potentially resulting in decreased durability. Given the functional complexity of heart valve operation, in-silico predictive simulations clearly have potential to greatly improve the TAVR development process. As such simulations must start with accurate material models, we have developed a novel time-evolving constitutive model for pericardial xenograft tissue biomaterials (XTB) utilized in BHV (doi: 10.1016/j.jmbbm.2017.07.013). This model was able to simulate the observed tissue plasticity effects that occur in approximately in the first two years of in vivo function (50 million cycles). In the present work, we implemented this model into a complete simulation pipeline to predict the BHV time evolving geometry to 50 million cycles. The pipeline was implemented within an isogeometric finite element formulation that directly integrated our established BHV NURBS-based geometry (doi: 10.1007/s00466-015-1166-x). Simulations of successive loading cycles indicated continual changes in leaflet shape, as indicated by spatially varying increases in leaflet curvature. While the simulation model assumed an initial uniform fiber orientation distribution, anisotropic regional changes in leaflet tissue plastic strain induced a complex changes in regional fiber orientation. We have previously noted in our time-evolving constitutive model that the increases in collagen fiber recruitment with cyclic loading placed an upper bound on plastic strain levels. This effect was manifested by restricting further changes in leaflet geometry past 50 million cycles. Such phenomena was accurately captured in the valve-level simulations due to the use of a tissue-level structural-based modeling approach. Changes in basic leaflet dimensions agreed well with extant experimental studies. As a whole, the results of the present study indicate the complexity of BHV responses to cyclic loading, including changes in leaflet shape and internal fibrous structure. It should be noted that the later effect also influences changes in local mechanical behavior (i.e. changes in leaflet anisotropic tissue stress-strain relationship) due to internal fibrous structure resulting from plastic strains. Such mechanism-based simulations can help pave the way towards the application of sophisticated simulation technologies in the development of replacement heart valve technology.

Indexed as

BioprosthesisHeart Valve ProsthesisAortic ValveModels, CardiovascularPericardiumStress, MechanicalBioprosthetic heart valveSimulationSoft tissue mechanicsTime evolving properties

Identifiers

PMID34482092
PMCPMC8482999
OpenAlexW3193438023

What OpenQuestion holds

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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.