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
备注：
This research was supported by the grants F3210-N18 and I2760-B30 from the Austrian Science Fund (FWF), the EU grant CardioProof agreement 611232 and a BioTechMed award to GP. Additionally, this project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Action H2020-MSCA-IF-2016 InsiliCardio, GA No. 750835
发表信息：
International Journal for Numerical Methods in Biomedical Engineering, 34(12), pages e3147, 2018
Introduction: Stenotic 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. Objectives: Using 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. Methods: We 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 pre-treatment conditions. LV wall stresses and biomechanical power were computed accurately from FE kinematic data and compared to Laplace-based estimation methods which were applied to the same FE model data. Results and Conclusion: Laplace 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 to FE models. The accurate assessment of stress and power density distribution in the LV wall is only feasible based on patient-specific FE modeling.
Non-invasive estimation of left ventricle elastance using a multi-compartment lumped parameter model and gradient-based optimization with forward-mode automatic differentiation
Measuring the time-scale-dependent information flow between maternal and fetal heartbeats during the third trimester
CNRS, ENS de Lyon, LPENSL（法国国家科学研究中心，里昂高等师范学院）；Department of Obstetrics and Gynecology, TUM University Hospital of Technical University of MunichTUM School of Medicine, Technical University of Munich（慕尼黑工业大学附属医院妇产科，慕尼黑工业大学医学院）；Technical University of Munich（慕尼黑工业大学；高加综合研究院）；Institute for Advanced Study, Garching（布宜诺斯艾利斯大学医学院细胞生物学与神经科学研究所）；Instituto de Biología Celular y Neurociencia ”Prof. Eduardo De Robertis”, Facultad de MedicinaUniversidad de Buenos Aires（华盛顿大学妇产科）；Dept. of Obstetrics and Gynecology, University of Washington（华盛顿大学人类发展与残疾研究所）；Institute on Human Development and Disability, University of Washington
Towards Modeling the Hemodynamic Impact of Mitral and Aortic Valve Repair in Patients with Left Ventricular Assist Devices
University of Michigan（密歇根大学）；Bundesanstalt für Materialforschung und -prüfung (BAM)（联邦材料研究与测试研究所）；The Alan Turing Institute（艾伦·图灵研究所）；Mayo Clinic（梅奥诊所）
