Evidence map›Paper›PMID 23263365›Full record

ReviewBiomechanics and modeling in mechanobiology2013

Mechanics of the mitral valve: a critical review, an in vivo parameter identification, and the effect of prestrain.

Manuel K Rausch, Nele Famaey, Tyler O'Brien Shultz, Wolfgang Bothe, D Craig Miller, Ellen Kuhl

Open access · greenAbstract readReview
In one paragraph

Review in Biomechanics and modeling in mechanobiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

47 citing papers in PubMed, 84 citations in OpenAlex.

  1. Article
  2. Constitutive discovery in the living human heart.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Guidelines for mechanistic modeling and analysis in cardiovascular research.American journal of physiology. Heart and circulatory physiology · 2024
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Parameterization, geometric modeling, and isogeometric analysis of tricuspid valves.Computer methods in applied mechanics and engineering · 2021
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Analysis of a coupled fluid-structure interaction model of the left atrium and mitral valve.International journal for numerical methods in biomedical engineering · 2019
    Article
  18. Tricuspid valve leaflet strains in the beating ovine heart.Biomechanics and modeling in mechanobiology · 2019
    Article
  19. Article
  20. Article
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 3 institutions in 3 countries.

Manuel K RauschDepartment of Mechanical Engineering, Stanford University, 496 Lomita Mall, Stanford, CA, 94305, USA, mkrausch@stanford.edu.
Nele Famaey
Tyler O'Brien Shultz
Wolfgang Bothe
D Craig Miller
Ellen Kuhl
Stanford University · USFriedrich Schiller University Jena · DEKU Leuven · BE

Funding

VENTRICULAR DYNAMICS FROM SURGICALLY INSERTED MARKERSR01HL029589 · NHLBI · STANFORD UNIVERSITY · PI MILLER, D CRAIG · 1985 to 2007
$6.6M
CHRONIC ISCHEMIC MR-MECHANISMS &NOVEL SURGICAL THERAPYR01HL067025 · NHLBI · STANFORD UNIVERSITY · PI MILLER, D CRAIG · 2001 to 2010
$3.9M
NHLBI NIH HHS R01 HL029589NHLBI NIH HHS R01 HL067025NHLBI NIH HHS R01 HL29589NHLBI NIH HHS R01HL67025
6 · The paper itself

Abstract

Alterations in mitral valve mechanics are classical indicators of valvular heart disease, such as mitral valve prolapse, mitral regurgitation, and mitral stenosis. Computational modeling is a powerful technique to quantify these alterations, to explore mitral valve physiology and pathology, and to classify the impact of novel treatment strategies. The selection of the appropriate constitutive model and the choice of its material parameters are paramount to the success of these models. However, the in vivo parameters values for these models are unknown. Here, we identify the in vivo material parameters for three common hyperelastic models for mitral valve tissue, an isotropic one and two anisotropic ones, using an inverse finite element approach. We demonstrate that the two anisotropic models provide an excellent fit to the in vivo data, with local displacement errors in the sub-millimeter range. In a complementary sensitivity analysis, we show that the identified parameter values are highly sensitive to prestrain, with some parameters varying up to four orders of magnitude. For the coupled anisotropic model, the stiffness varied from 119,021 kPa at 0 % prestrain via 36 kPa at 30 % prestrain to 9 kPa at 60 % prestrain. These results may, at least in part, explain the discrepancy between previously reported ex vivo and in vivo measurements of mitral leaflet stiffness. We believe that our study provides valuable guidelines for modeling mitral valve mechanics, selecting appropriate constitutive models, and choosing physiologically meaningful parameter values. Future studies will be necessary to experimentally and computationally investigate prestrain, to verify its existence, to quantify its magnitude, and to clarify its role in mitral valve mechanics.

Indexed as

Stress, MechanicalAnimalsAnisotropyBiomechanical PhenomenaFibrillar CollagensFinite Element AnalysisHeart VentriclesIntraoperative CareMaleMitral ValveModels, CardiovascularSheepFibrillar Collagens

Identifiers

PMID23263365
PMCPMC3634889
OpenAlexW2172458865

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.