PI: Prof. Michael Kaliske
Division of the task packages in „SimLivA“ into clinical, animal experiments, as well as ODE and PDE modeling.
Aim:
The aim of this research project is to make a significant step towards a comprehensive numerical analysis of LV remodeling, especially under pathological conditions.
In line with this overarching goal, the following tasks will be pursued:
Description:
According to World Health Organization statistics, in 2015 an average of one death from cardiovascular disease (CVD) was recorded every 2 seconds (31% of total deaths). In recent decades, significant progress has been made in interdisciplinary research between clinicians and engineers to understand the working mechanisms of the heart and to reduce the mortality and economic consequences of CVD.
Remodeling of the left ventricle (LV) describes a frequently occurring clinical picture. Patient-specific characteristics complicate the identification of the severity of the disease and its treatment strategy. Current cardiological analysis methods have limitations and a deeper insight into the remodeling of the LV is needed. In this context, numerical approaches can provide virtual examination options that are non-invasive, relatively inexpensive and fast. They help cardiologists to choose the most appropriate treatment method for a specific patient. Guided by this idea, the Institute of Statics and Dynamics of Structures and the Department of Cardiology at TU Dresden are working in an interdisciplinary research collaboration that combines medical and engineering expertise with the aim of providing a qualitatively significantly improved precise computer analysis of LV remodeling, especially under pathological conditions.
One of the main innovative developments in the project will be a finite element (FE)-based methodology that analyzes clinical data from cardiac magnetic resonance imaging and 3D echocardiography from a technical perspective. In contrast to averaged segment values of medical assessment software, a point distribution of values provides information that allows a geometric shape analysis of the LV. This innovative approach defines robust markers that can identify the severity of the disease and predict disease progression in routine clinical practice. The analysis of clinical data will also help in the elaboration of the basic constitutive laws of LV remodeling. In comparison to existing material models for LV remodeling documented in the literature, significant remodeling aspects (volume growth, fibrosis synthesis, fiber orientation change) will be combined in the modified Hill model to describe the electro-viscoactive response of the myocardium. A key aspect of the research program will be the implementation of an FE-based fluid-structure interaction algorithm to simulate the influence of blood in the LV. This will allow comprehensive FE analyses of generic and personalized LV geometries to validate the developed numerical approach.
Involved Institutions:
Applicants:
Publications
Sveric, Krunoslav Michael; Cansız, Barış; Winkler, Anna; Ulbrich, Stefan; Ende, Georg; Heidrich, Felix; Kaliske, Michael; Linke, Axel; Jellinghaus, Stefanie
In: Scientific reports, Bd. 13, 2023.
@article{nokeym,
title = {Accuracy of Devereaux and Teichholz formulas for left ventricular mass calculation in different geometric patterns: comparison with cardiac magnetic resonance imaging},
author = {Krunoslav Michael Sveric and Barış Cansız and Anna Winkler and Stefan Ulbrich and Georg Ende and Felix Heidrich and Michael Kaliske and Axel Linke and Stefanie Jellinghaus},
editor = {Nature},
url = {https://rdcu.be/doEBI},
doi = {https://doi.org/10.1038/s41598-023-41020-9},
year = {2023},
date = {2023-08-28},
urldate = {2023-08-28},
journal = {Scientific reports},
volume = {13},
abstract = {Left ventricular (LV) myocardial mass is important in the evaluation of cardiac remodeling and requires accurate assessment when performed on linear measurements in two-dimensional echocardiography (Echo). We aimed to compare the accuracy of the Devereux formula (DEV) and the Teichholz formula (TEICH) in calculating LV myocardial mass in Echo using cardiac magnetic resonance (CMR) as the reference method. Based on preceding mathematical calculations, we identified primarily LV size rather than wall thickness as the main source of bias between DEV and TEICH in a retrospective derivation cohort (n = 1276). Although LV mass from DEV and TEICH were correlated with CMR, TEICH did not show a proportional bias as did DEV (− 2 g/m2 vs. + 22 g/m2). This could be validated in an independent prospective cohort (n = 226) with symptomatic non-ischemic heart failure. DEV systematically overestimated LV mass in all tiers of LV remodeling as compared to TEICH. In conclusion, the TEICH method accounts for the changes in LV geometry with increasing LV mass and thus better reflects the different pattern of LV remodeling than the DEV method. This has important clinical implications, as TEICH may be more appropriate for use in clinical practice, rather than DEV, currently recommended.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Lee, Yongjae; Cansız, Barış; Kaliske, Michael
In: 2023.
@article{Lee2023,
title = {A multiphysical computational model of myocardial growth adopted to human pathological ventricular remodelling},
author = {Yongjae Lee and Barış Cansız and Michael Kaliske},
editor = {Comput Mech (2023)},
url = {https://rdcu.be/doEvG},
doi = {https://doi.org/10.1007/s00466-023-02346-3},
year = {2023},
date = {2023-06-13},
urldate = {2023-06-13},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Cansız, Barış; Kaliske, Michael
In: Journal of Computational and Applied Mathematics, Bd. Vol. 407, 2022.
@article{nokeyx,
title = {A comparative study of fully implicit staggered and monolithic solution methods. Part II: Coupled excitation-contraction equations of cardiac electromechanics},
author = {Barış Cansız and Michael Kaliske},
editor = {Journal Computational and Applied Mathematics},
doi = {https://doi.org/10.1016/j.cam.2021.114021},
year = {2022},
date = {2022-06-30},
urldate = {2022-06-30},
journal = {Journal of Computational and Applied Mathematics},
volume = {Vol. 407},
keywords = {},
pubstate = {published},
tppubtype = {article}
}