Evidence map›Paper›PMID 29892227›Full record

ArticleFrontiers in physiology2018

Towards a Computational Framework for Modeling the Impact of Aortic Coarctations Upon Left Ventricular Load.

Elias Karabelas, Matthias A F Gsell, Christoph M Augustin, Laura Marx, Aurel Neic, Anton J Prassl, Leonid Goubergrits, Titus Kuehne, Gernot Plank

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

19 citing papers in PubMed, 41 citations in OpenAlex.

  1. Effect of the Mitral Valve on the Intra Ventricular Hemodynamics.International journal for numerical methods in biomedical engineering · 2026
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  5. Accurate Reconstruction of Right Heart Shape and Motion From Cine-MRI for Image-Driven Computational Hemodynamics.International journal for numerical methods in biomedical engineering · 2025
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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 3 countries.

Elias KarabelasComputational Cardiology Laboratory, Institute of Biophysics, Medical University of Graz, Graz, Austria.
Matthias A F GsellComputational Cardiology Laboratory, Institute of Biophysics, Medical University of Graz, Graz, Austria.
Christoph M AugustinComputational Cardiology Laboratory, Institute of Biophysics, Medical University of Graz, Graz, Austria.
Laura MarxComputational Cardiology Laboratory, Institute of Biophysics, Medical University of Graz, Graz, Austria.
Aurel NeicComputational Cardiology Laboratory, Institute of Biophysics, Medical University of Graz, Graz, Austria.
Anton J PrasslComputational Cardiology Laboratory, Institute of Biophysics, Medical University of Graz, Graz, Austria.
Leonid GoubergritsDepartment of Congenital Heart Disease/Pediatric Cardiology, German Heart Institute Berlin, Berlin, Germany.
Titus KuehneDepartment of Congenital Heart Disease/Pediatric Cardiology, German Heart Institute Berlin, Berlin, Germany.
Gernot PlankComputational Cardiology Laboratory, Institute of Biophysics, Medical University of Graz, Graz, Austria.
Medical University of Graz · ATCharité - Universitätsmedizin Berlin · DEDeutsches Herzzentrum München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computational fluid dynamics (CFD) models of blood flow in the left ventricle (LV) and aorta are important tools for analyzing the mechanistic links between myocardial deformation and flow patterns. Typically, the use of image-based kinematic CFD models prevails in applications such as predicting the acute response to interventions which alter LV afterload conditions. However, such models are limited in their ability to analyze any impacts upon LV load or key biomarkers known to be implicated in driving remodeling processes as LV function is not accounted for in a mechanistic sense. This study addresses these limitations by reporting on progress made toward a novel electro-mechano-fluidic (EMF) model that represents the entire physics of LV electromechanics (EM) based on first principles. A biophysically detailed finite element (FE) model of LV EM was coupled with a FE-based CFD solver for moving domains using an arbitrary Eulerian-Lagrangian (ALE) formulation. Two clinical cases of patients suffering from aortic coarctations (CoA) were built and parameterized based on clinical data under pre-treatment conditions. For one patient case simulations under post-treatment conditions after geometric repair of CoA by a virtual stenting procedure were compared against pre-treatment results. Numerical stability of the approach was demonstrated by analyzing mesh quality and solver performance under the significantly large deformations of the LV blood pool. Further, computational tractability and compatibility with clinical time scales were investigated by performing strong scaling benchmarks up to 1536 compute cores. The overall cost of the entire workflow for building, fitting and executing EMF simulations was comparable to those reported for image-based kinematic models, suggesting that EMF models show potential of evolving into a viable clinical research tool.

Indexed as

arbitrary Lagrangian-Eulerian formulationcardiac mechanicscomputational fluid dynamicsfinite element modelpatient-specific modelingtotal heart functiontranslational cardiac modeling

Identifiers

PMID29892227
PMCPMC5985756
OpenAlexW2802732209

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.