Evidence map›Paper›PMID 28983742›Full record

ArticleBiomechanics and modeling in mechanobiology2018

Multi-resolution geometric modeling of the mitral heart valve leaflets.

Amir H Khalighi, Andrew Drach, Robert C Gorman, Joseph H Gorman, Michael S Sacks

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-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

11 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Parameterization, geometric modeling, and isogeometric analysis of tricuspid valves.Computer methods in applied mechanics and engineering · 2021
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Extraction of open-state mitral valve geometry from CT volumes.International journal of computer assisted radiology and surgery · 2018
    Article
  11. 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

5 authors at 2 institutions in 1 country.

Amir H KhalighiCenter for Cardiovascular Simulation, Institute for Computational Engineering and Sciences, Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.ORCID http://orcid.org/0000-0001-8135-3980
Andrew DrachCenter for Cardiovascular Simulation, Institute for Computational Engineering and Sciences, Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.ORCID http://orcid.org/0000-0003-4211-1254
Robert C GormanGorman Cardiovascular Research Group, Department of Surgery, University of Pennsylvania, Philadelphia, PA, USA.
Joseph H GormanGorman Cardiovascular Research Group, Department of Surgery, University of Pennsylvania, Philadelphia, PA, USA.
Michael S SacksCenter for Cardiovascular Simulation, Institute for Computational Engineering and Sciences, Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA. msacks@ices.utexas.edu.ORCID http://orcid.org/0000-0003-0198-9212
The University of Texas at Austin · USUniversity of Pennsylvania · US

Funding

Remodeling potential of the mitral valve following surgical repairR01HL119297 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI GORMAN, JOSEPH H, SACKS, MICHAEL S · 2013 to 2017
$6.6M
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
National Institutes of Health R01HL119297NHLBI NIH HHS R01 HL103723NHLBI NIH HHS R01 HL119297
6 · The paper itself

Abstract

An essential element of cardiac function, the mitral valve (MV) ensures proper directional blood flow between the left heart chambers. Over the past two decades, computational simulations have made marked advancements toward providing powerful predictive tools to better understand valvular function and improve treatments for MV disease. However, challenges remain in the development of robust means for the quantification and representation of MV leaflet geometry. In this study, we present a novel modeling pipeline to quantitatively characterize and represent MV leaflet surface geometry. Our methodology utilized a two-part additive decomposition of the MV geometric features to decouple the macro-level general leaflet shape descriptors from the leaflet fine-scale features. First, the general shapes of five ovine MV leaflets were modeled using superquadric surfaces. Second, the finer-scale geometric details were captured, quantified, and reconstructed via a 2D Fourier analysis with an additional sparsity constraint. This spectral approach allowed us to easily control the level of geometric details in the reconstructed geometry. The results revealed that our methodology provided a robust and accurate approach to develop MV-specific models with an adjustable level of spatial resolution and geometric detail. Such fully customizable models provide the necessary means to perform computational simulations of the MV at a range of geometric accuracies in order to identify the level of complexity required to achieve predictive MV simulations.

Indexed as

Models, CardiovascularAnimalsBiomechanical PhenomenaImage Processing, Computer-AssistedMaleMitral ValveSheepX-Ray MicrotomographyAnatomical accuracyHigh-fidelity modelMitral valveMitral valve repairMulti-resolution modelSparse spectral analysisVery fast image in-painting

Identifiers

PMID28983742
PMCPMC5845467
OpenAlexW2763581737

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.