Evidence map›Paper›PMID 31155211›Full record

ArticleJournal of biomechanics2019

A framework for biomechanics simulations using four-chamber cardiac models.

Arian Jafari, Edward Pszczolkowski, Adarsh Krishnamurthy

Open access · greenAbstract read
In one paragraph

Article in Journal of biomechanics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. A Modular Framework for Implicit 3D-0D Coupling in Cardiac Mechanics.Computer methods in applied mechanics and engineering · 2024
    Article
  4. Article
  5. Article
  6. 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

3 authors at 1 institution in 1 country.

Arian JafariMechanical Engineering Department, Iowa State University, United States. Electronic address: ajafari@iastate.edu.
Edward PszczolkowskiMechanical Engineering Department, Iowa State University, United States. Electronic address: edwardp@iastate.edu.
Adarsh KrishnamurthyMechanical Engineering Department, Iowa State University, United States. Electronic address: adarsh@iastate.edu.
Iowa State University · US

Funding

Precision Cardiac CT: Development of a Computational Platform for Optimizing ImagingR01HL131753 · NHLBI · DUKE UNIVERSITY · PI SAMEI, EHSAN, SEGARS, WILLIAM P · 2017 to 2020
$2.7M
NHLBI NIH HHS R01 HL131753
6 · The paper itself

Abstract

Computational cardiac models have been extensively used to study different cardiac biomechanics; specifically, finite-element analysis has been one of the tools used to study the internal stresses and strains in the cardiac wall during the cardiac cycle. Cubic-Hermite finite element meshes have been used for simulating cardiac biomechanics due to their convergence characteristics and their ability to capture smooth geometries compactly-fewer elements are needed to build the cardiac geometry-compared to linear tetrahedral meshes. Such meshes have previously been used only with simple ventricular geometries with non-physiological boundary conditions due to challenges associated with creating cubic-Hermite meshes of the complex heart geometry. However, it is critical to accurately capture the different geometric characteristics of the heart and apply physiologically equivalent boundary conditions to replicate the in vivo heart motion. In this work, we created a four-chamber cardiac model utilizing cubic-Hermite elements and simulated a full cardiac cycle by coupling the 3D finite element model with a lumped circulation model. The myocardial fiber-orientations were interpolated within the mesh using the Log-Euclidean method to overcome the singularity associated with interpolation of orthogonal matrices. Physiologically equivalent rigid body constraints were applied to the nodes along the valve plane and the accuracy of the resulting simulations were validated using open source clinical data. We then simulated a complete cardiac cycle of a healthy heart and a heart with acute myocardial infarction. We compared the pumping functionality of the heart for both cases by calculating the ventricular work. We observed a 20% reduction in acute work done by the heart immediately after myocardial infarction. The myocardial wall displacements obtained from the four-chamber model are comparable to actual patient data, without requiring complicated non-physiological boundary conditions usually required in truncated ventricular heart models.

Indexed as

Models, CardiovascularAtrial FunctionBiomechanical PhenomenaFinite Element AnalysisHeartHumansMechanical PhenomenaVentricular FunctionCardiac modelingCubic-hermite hexahedral elementsFinite element analysisFour-chamber human heart modelIsogeometric analysisMyocardial infarction

Identifiers

PMID31155211
PMCPMC6579665
OpenAlexW2946187429

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.