Evidence map›Paper›PMID 29663193›Full record

ArticleAnnals of biomedical engineering2018

Finite Element Analysis of Tricuspid Valve Deformation from Multi-slice Computed Tomography Images.

Fanwei Kong, Thuy Pham, Caitlin Martin, Raymond McKay, Charles Primiano, Sabet Hashim, Susheel Kodali, Wei Sun

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
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

33 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Chordae Rupture Alters Tricuspid Valve Leaflet Biomechanics.Cardiovascular engineering and technology · 2026
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  5. Article
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  11. Leaflet remodeling reduces tricuspid valve function in a computational model.Journal of the mechanical behavior of biomedical materials · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. The effects of leaflet material properties on the simulated function of regurgitant mitral valves.Journal of the mechanical behavior of biomedical materials · 2023
    Article
  17. Article
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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

8 authors.

Fanwei KongThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.
Thuy PhamThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.
Caitlin MartinThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.
Raymond McKayCardiology and Cardiac Surgery, The Hartford Hospital, Hartford, CT, USA.
Charles PrimianoCardiology and Cardiac Surgery, The Hartford Hospital, Hartford, CT, USA.
Sabet HashimCardiology and Cardiac Surgery, The Hartford Hospital, Hartford, CT, USA.
Susheel KodaliStructural Heart & Valve Center, Columbia University Medical Center, New York, NY, USA.
Wei SunThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA. wei.sun@bme.gatech.edu.ORCID http://orcid.org/0000-0002-8708-5128

Funding

Probabilistic Modeling of Stenotic Aortic Valve InterventionR01HL104080 · NHLBI · UNIVERSITY OF CONNECTICUT STORRS · PI SUN, WEI · 2011 to 2015
$1.9M
Biomechanical study on aortic-mitral coupling in transcatheter aortic valve replacementR21HL127570 · NHLBI · GEORGIA INSTITUTE OF TECHNOLOGY · PI SUN, WEI · 2016 to 2017
$441k
National Institutes of Health HL104080National Institutes of Health HL127570NHLBI NIH HHS R01 HL104080NHLBI NIH HHS R21 HL127570
6 · The paper itself

Abstract

Despite the growing clinical interest in the tricuspid valve (TV), there is an incomplete understanding of TV biomechanics which is important in normal TV function and successful TV repair techniques. Computational models with patient-specific human TV geometries can provide a quantitative understanding of TV biomechanic. Therefore, this study aimed to develop finite element (FE) models of human TVs from multi-slice computed tomography (MSCT) images to investigate chordal forces and leaflet stresses and strains. Three FE models were constructed for human subjects with healthy TVs from MSCT images and incorporated detailed leaflet geometries, realistic nonlinear anisotropic hyperelastic material properties of human TV, and physiological boundary conditions tracked from MSCT images. TV closure from diastole to systole was simulated. Chordal lengths were iteratively adjusted until the simulated TV geometries were in good agreement with the "true" geometries reconstructed from MSCT images at systole. Larger chordal forces were found on the strut (or basal) chords than on the rough zone chords and the total forces applied on the anterior papillary muscles by the strut chords were higher than those on the posterior or septal papillary muscles. At peak systolic pressure, the average maximum stress on the middle sections of the leaflets ranged from 30 to 90 kPa, while the average maximum principal strain values ranged from 0.16 to 0.30. The results from healthy TVs can serve as baseline biomechanical metrics of TV mechanics and may be used to inform TV repair device design. The computational approach developed could be one step towards developing computational models that may support pre-operative planning in complex TV repair procedures in the future.

Indexed as

Computer SimulationFinite Element AnalysisModels, CardiovascularTomography, X-Ray ComputedTricuspid ValveAdultAgedFemaleHumansMiddle AgedBiomechanicsFinite element analysisMulti-slice computed tomographyPatient-specific geometriesTricuspid valve

Identifiers

PMID29663193
PMCPMC6039260

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.