Evidence map›Paper›PMID 36041649›Full record

ArticleActa biomaterialia2022

Benchtop characterization of the tricuspid valve leaflet pre-strains.

Devin W Laurence, Colton J Ross, Ming-Chen Hsu, Arshid Mir, Harold M Burkhart, Gerhard A Holzapfel, Chung-Hao Lee

Abstract read
In one paragraph

Article in Acta biomaterialia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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

7 authors at 5 institutions in 4 countries.

Devin W LaurenceBiomechanics & Biomaterials Design Lab, School of Aerospace & Mechanical Eng., University of Oklahoma, USA.
Colton J RossBiomechanics & Biomaterials Design Lab, School of Aerospace & Mechanical Eng., University of Oklahoma, USA.
Ming-Chen HsuComputational Fluid-Structure Interaction Laboratory, Department of Mechanical Eng., Iowa State University, USA.
Arshid MirDepartment of Pediatrics, University of Oklahoma Health Sciences Center, USA.
Harold M BurkhartDepartment of Surgery, University of Oklahoma Health Sciences Center, USA.
Gerhard A HolzapfelInstitute of Biomechanics, Graz University of Technology, Austria; Department of Structural Engineering, Norwegian University of Science and Technology, Norway.
Chung-Hao LeeBiomechanics & Biomaterials Design Lab, School of Aerospace & Mechanical Eng., University of Oklahoma, USA. Electronic address: ch.lee@ou.edu.
University of Oklahoma · USUniversity of Oklahoma Health Sciences Center · USBiomechanics Institute of Valencia · ESIowa State University · USNorwegian University of Science and Technology · NO

Funding

American Heart Association-American Stroke Association 16SDG27760143
6 · The paper itself

Abstract

The pre-strains of biological soft tissues are important when relating their in vitro and in vivo mechanical behaviors. In this study, we present the first-of-its-kind experimental characterization of the tricuspid valve leaflet pre-strains. We use 3D photogrammetry and the reproducing kernel method to calculate the pre-strains within the central 10×10 mm region of the tricuspid valve leaflets from n=8 porcine hearts. In agreement with previous pre-strain studies for heart valve leaflets, our results show that all the three tricuspid valve leaflets shrink after being explanted from the ex vivo heart. These calculated strains are leaflet-specific and the septal leaflet experiences the most compressive changes. Furthermore, the strains observed after dissection of the central 10×10 mm region of the leaflet are smaller than when the valve is explanted, suggesting that our computed pre-strains are mainly due to the release of in situ annulus and chordae connections. The leaflets are then mounted on a biaxial testing device and preconditioned using force-controlled equibiaxial loading. We show that the employed preconditioning protocol does not 100% restore the leaflet pre-strains as removed during tissue dissection, and future studies are warranted to explore alternative preconditioning methods. Finally, we compare the calculated biomechanically oriented metrics considering five stress-free reference configurations. Interestingly, the radial tissue stretches and material anisotropies are significantly smaller compared to the post-preconditioning configuration. Extensions of this work can further explore the role of this unique leaflet-specific leaflet pre-strains on in vivo valve behavior via high-fidelity in-silico models. STATEMENT OF SIGNIFICANCE: This study provides a first of its kind benchtop characterization of tricuspid valve leaflet pre-strains. We used 3D photogrammetry to reconstruct the central region of the tricuspid valve leaflets in three configurations. The associated configurational changes revealed compressive, leaflet-specific strains after dissection of the valve from its in situ environment. Interestingly, we found that biaxial preconditioning did not restore the measured pre-strains of the leaflets. Depending on the selection of the stress-free reference configuration, this led to substantial differences in the leaflet mechanics. Our findings and methodology are crucial when it comes to relating in vitro mechanical behaviors to valve function in vivo. Future studies can integrate our quantified pre-strains into in-silico simulations to get more realistic predictions about the valve function.

Indexed as

Mechanical PhenomenaTricuspid ValveAnimalsAnisotropyComputer SimulationSwine3D photogrammetryConfigurational changesDirect linear transformationPreconditioningReproducing kernel methodValve tissue biomechanics

Identifiers

PMID36041649
PMCPMC11974611
OpenAlexW4293339950

What OpenQuestion holds

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Registered trials

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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.