Evidence map›Paper›PMID 27699507›Full record

ArticleAnnals of biomedical engineering2017

Ex Vivo Methods for Informing Computational Models of the Mitral Valve.

Charles H Bloodworth, Eric L Pierce, Thomas F Easley, Andrew Drach, Amir H Khalighi, Milan Toma, Morten O Jensen, Michael S Sacks, Ajit P Yoganathan

Open access · greenAbstract read
In one paragraph

Article in Annals of biomedical engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

32 citing papers in PubMed, 44 citations in OpenAlex.

  1. A Soft Robotic Model for Simulating Heart Valve Disease and Cardiac Interventions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Review
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  5. Clinical Impact of Computational Heart Valve Models.Materials (Basel, Switzerland) · 2022
    Review
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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

9 authors at 3 institutions in 1 country.

Charles H BloodworthCardiovascular Fluid Mechanics Laboratory, Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, 387 Technology Circle NW, Suite 200, Atlanta, GA, 30313, USA.
Eric L PierceCardiovascular Fluid Mechanics Laboratory, Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, 387 Technology Circle NW, Suite 200, Atlanta, GA, 30313, USA.
Thomas F EasleyCardiovascular Fluid Mechanics Laboratory, Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, 387 Technology Circle NW, Suite 200, Atlanta, GA, 30313, USA.
Andrew DrachCenter for Cardiovascular Simulation, Institute for Computational Engineering and Sciences, The University of Texas at Austin, 201 E. 24th Street, Austin, TX, 78712, USA.
Amir H KhalighiCenter for Cardiovascular Simulation, Institute for Computational Engineering and Sciences, The University of Texas at Austin, 201 E. 24th Street, Austin, TX, 78712, USA.
Milan TomaCardiovascular Fluid Mechanics Laboratory, Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, 387 Technology Circle NW, Suite 200, Atlanta, GA, 30313, USA.
Morten O JensenCardiovascular Fluid Mechanics Laboratory, Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, 387 Technology Circle NW, Suite 200, Atlanta, GA, 30313, USA.
Michael S SacksCenter for Cardiovascular Simulation, Institute for Computational Engineering and Sciences, The University of Texas at Austin, 201 E. 24th Street, Austin, TX, 78712, USA.
Ajit P YoganathanCardiovascular Fluid Mechanics Laboratory, Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, 387 Technology Circle NW, Suite 200, Atlanta, GA, 30313, USA. ajit.yoganathan@bme.gatech.edu.
Georgia Institute of Technology · USThe University of Texas at Austin · USThe Wallace H. Coulter Department of Biomedical Engineering · 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
NHLBI NIH HHS R01 HL119297
6 · The paper itself

Abstract

Computational modeling of the mitral valve (MV) has potential applications for determining optimal MV repair techniques and risk of recurrent mitral regurgitation. Two key concerns for informing these models are (1) sensitivity of model performance to the accuracy of the input geometry, and, (2) acquisition of comprehensive data sets against which the simulation can be validated across clinically relevant geometries. Addressing the first concern, ex vivo micro-computed tomography (microCT) was used to image MVs at high resolution (~40 micron voxel size). Because MVs distorted substantially during static imaging, glutaraldehyde fixation was used prior to microCT. After fixation, MV leaflet distortions were significantly smaller (p < 0.005), and detail of the chordal tree was appreciably greater. Addressing the second concern, a left heart simulator was designed to reproduce MV geometric perturbations seen in vivo in functional mitral regurgitation and after subsequent repair, and maintain compatibility with microCT. By permuting individual excised ovine MVs (n = 5) through each state (healthy, diseased and repaired), and imaging with microCT in each state, a comprehensive data set was produced. Using this data set, work is ongoing to construct and validate high-fidelity MV biomechanical models. These models will seek to link MV function across clinically relevant states.

Indexed as

Mitral ValveMitral Valve InsufficiencyModels, CardiovascularX-Ray MicrotomographyAnimalsSheepCardiovascularImagingMicro-computed tomographyMitral regurgitationMitral repairSimulation

Identifiers

PMID27699507
PMCPMC5300906
OpenAlexW2529558962

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.