Evidence map›Paper›PMID 31129860›Full record

ArticleBiomechanics and modeling in mechanobiology2019

Modeling left ventricular dynamics with characteristic deformation modes.

Brian D Hong, Michael J Moulton, Timothy W Secomb

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

3 authors.

Brian D HongDepartment of Surgery, University of Nebraska Medical Center, Omaha, NE, USA. brian.hong@unmc.edu.ORCID http://orcid.org/0000-0003-1191-0950
Michael J MoultonDepartment of Surgery, University of Nebraska Medical Center, Omaha, NE, USA.
Timothy W SecombProgram in Applied Mathematics, University of Arizona, Tucson, AZ, USA.

Funding

Computational and Mathematical Modeling of Biomedical SystemsT32GM084905 · NIGMS · UNIVERSITY OF ARIZONA · PI SECOMB, TIMOTHY W. · 2009 to 2018
$2.2M
NIGMS NIH HHS T32 GM084905NIH HHS T32 GM084905
6 · The paper itself

Abstract

A computationally efficient method is described for simulating the dynamics of the left ventricle (LV) in three dimensions. LV motion is represented as a combination of a limited number of deformation modes, chosen to represent observed cardiac motions while conserving volume in the LV wall. The contribution of each mode to wall motion is determined by a corresponding time-dependent deformation variable. The principle of virtual work is applied to these deformation variables, yielding a system of ordinary differential equations for LV dynamics, including effects of muscle fiber orientations, active and passive stresses, and surface tractions. Passive stress is governed by a transversely isotropic elastic model. Active stress acts in the fiber direction and incorporates length-tension and force-velocity properties of cardiac muscle. Preload and afterload are represented by lumped vascular models. The variational equations and their numerical solutions are verified by comparison to analytic solutions of the strong form equations. Deformation modes are constructed using Fourier series with an arbitrary number of terms. Greater numbers of deformation modes increase deformable model resolution but at increased computational cost. Simulations of normal LV motion throughout the cardiac cycle are presented using models with 8, 23, or 46 deformation modes. Aggregate quantities that describe LV function vary little as the number of deformation modes is increased. Spatial distributions of stress and strain change as more deformation modes are included, but overall patterns are conserved. This approach yields three-dimensional simulations of the cardiac cycle on a clinically relevant time-scale.

Indexed as

Models, CardiovascularStress, MechanicalBiomechanical PhenomenaComputer SimulationElasticityHeart Function TestsHumansMagnetic Resonance ImagingVentricular Function, LeftViscosity3D simulationCardiac mechanicsComputational modelingDeformation modesLeft ventricle

Identifiers

PMID31129860
PMCPMC6825036

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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.