Evidence map›Paper›PMID 30151998›Full record

ArticleInternational journal for numerical methods in biomedical engineering2018

Assessment of wall stresses and mechanical heart power in the left ventricle: Finite element modeling versus Laplace analysis.

Matthias A F Gsell, Christoph M Augustin, Anton J Prassl, Elias Karabelas, Joao F Fernandes, Marcus Kelm, Leonid Goubergrits, Titus Kuehne, Gernot Plank

Abstract read
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Article in International journal for numerical methods in biomedical engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

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17citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. A modelling study of right ventricular growth with valvular regurgitation.Biomechanics and modeling in mechanobiology · 2026
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  5. Comparison of two ellipsoidal models for the estimation of left ventricular end-systolic stress in patients with significant coronary artery disease.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2023
    Article
  6. Novel Methodology for Measuring Regional Myocardial Efficiency.IEEE transactions on medical imaging · 2021
    Article
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  9. Personalization of electro-mechanical models of the pressure-overloaded left ventricle: fitting of Windkessel-type afterload models.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Matthias A F GsellInstitute of Biophysics, Medical University of Graz, Graz, Austria.ORCID 0000-0001-7742-8193
Christoph M AugustinInstitute of Biophysics, Medical University of Graz, Graz, Austria.ORCID 0000-0001-6341-4014
Anton J PrasslInstitute of Biophysics, Medical University of Graz, Graz, Austria.
Elias KarabelasInstitute of Biophysics, Medical University of Graz, Graz, Austria.
Joao F FernandesInstitute for Cardiovascular Computer-assisted Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Marcus KelmInstitute for Cardiovascular Computer-assisted Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Leonid GoubergritsInstitute for Cardiovascular Computer-assisted Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Titus KuehneInstitute for Cardiovascular Computer-assisted Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Gernot PlankInstitute of Biophysics, Medical University of Graz, Graz, Austria.ORCID 0000-0002-7380-6908

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionStenotic aortic valve disease (AS) causes pressure overload of the left ventricle (LV) that may trigger adverse remodeling and precipitate progression towards heart failure (HF). As myocardial energetics can be impaired during AS, LV wall stresses and biomechanical power provide a complementary view of LV performance that may aide in better assessing the state of disease.

objectivesUsing a high-resolution electro-mechanical (EM) in silico model of the LV as a reference, we evaluated clinically feasible Laplace-based methods for assessing global LV wall stresses and biomechanical power.

methodsWe used N = 4 in silico finite element (FE) EM models of LV and aorta of patients suffering from AS. All models were personalized with clinical data under pretreatment conditions. Left ventricle wall stresses and biomechanical power were computed accurately from FE kinematic data and compared with Laplace-based estimation methods, which were applied to the same FE model data. RESULTS AND

conclusionLaplace estimates of LV wall stress are able to provide a rough approximation of global mean stress in the circumferential-longitudinal plane of the LV. However, according to FE results, spatial heterogeneity of stresses in the LV wall is significant, leading to major discrepancies between local stresses and global mean stress. Assessment of mechanical power with Laplace methods is feasible, but these are inferior in accuracy compared with FE models. The accurate assessment of stress and power density distribution in the LV wall is only feasible based on patient-specific FE modeling.

Indexed as

Aortic Valve StenosisHeart VentriclesMagnetic Resonance ImagingModels, CardiovascularMyocardiumPatient-Specific ModelingAgedAged, 80 and overComputer SimulationFemaleFinite Element AnalysisHumansMaleMiddle Agedaortic stenosisheart failuretransvalvular pressure gradient

Identifiers

PMID30151998
PMCPMC6492182

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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.