Fluid-structure interaction simulation of pathological MV dynamics in a coupled MV-LV model

Ca, L., Zhao, T., Wang, Y., Luo, X. and Gao, H. (2022) Fluid-structure interaction simulation of pathological MV dynamics in a coupled MV-LV model. Intelligent Medicine, (doi: 10.1016/j.imed.2022.06.005) (In Press)

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Background: Understanding the interaction between the mitral valve (MV) and the left ventricle (LV) is very important in assessing cardiac pump function, especially when the MV is dysfunctional. Such dysfunction is a major medical problem owing to the essential role of the MV in cardiac pump function. Computational modelling can provide new approaches to gain insight into the functions of the MV and LV. Methods: In this study, a previously developed LV–MV model is used to study cardiac dynamics of MV leaflets under normal and pathological conditions, including hypertrophic cardiomyopathy (HOCM) and calcification of the valve. The coupled LV–MV model is implemented using a hybrid immersed boundary/finite element method to enable assessment of MV haemodynamic performance. Constitutive parameters of the HOCM and calcified valves are inversely determined from published experimental data. The LV compensation mechanism is further studied in the case of the calcified MV. Results: Our results show that MV dynamics and LV pump function can be greatly affected by MV pathology. For example, the HOCM case showed bulged MV leaflets at the systole owing to low stiffness, and the calcified MV was associated with impaired diastolic filling and much-reduced stroke volume. We further demonstrated that either increasing the LV filling pressure or increasing myocardial contractility could enable a calcified valve to achieve near-normal pump function. Conclusion: The modelling approach developed in this study could deepen our understanding of the interactions between the MV and the LV and help in risk stratification of heart valve disease and in silico treatment planning by exploring intrinsic compensation mechanisms.

Item Type:Articles
Additional Information:Funding: This work was supported by the National Natural Science Foundation of China (Grant No.11871399) and the UK EPSRC (Grant Nos. EP/S030875, EP/S014284/1, EP/S020950/1, EP/R511705/1, and EP/T017899/1).
Status:In Press
Glasgow Author(s) Enlighten ID:Luo, Professor Xiaoyu and Gao, Dr Hao
Authors: Ca, L., Zhao, T., Wang, Y., Luo, X., and Gao, H.
College/School:College of Science and Engineering > School of Mathematics and Statistics > Mathematics
Journal Name:Intelligent Medicine
Published Online:02 August 2022
Copyright Holders:Copyright © 2022 Elsevier B.V.
First Published:First published in Intelligent Medicine 2022
Publisher Policy:Reproduced under a Creative Commons license

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
303232EPSRC Centre for Multiscale soft tissue mechanics with MIT and POLIMI (SofTMech-MP)Xiaoyu LuoEngineering and Physical Sciences Research Council (EPSRC)EP/S030875/1M&S - Mathematics
303798Growth and Remodelling in Neoanatal Porcine Heart-- Pushing Mathematics through ExperimentsXiaoyu LuoEngineering and Physical Sciences Research Council (EPSRC)EP/S014284/1M&S - Mathematics
303231A whole-heart model of multiscale soft tissue mechanics and fluid structureinteraction for clinical applications (Whole-Heart-FSI)Xiaoyu LuoEngineering and Physical Sciences Research Council (EPSRC)EP/S020950/1M&S - Mathematics
309324Optimisation of prediction models for red blood cell demandAlice MillerEngineering and Physical Sciences Research Council (EPSRC)EP/R511705/1Computing Science
308255The SofTMech Statistical Emulation and Translation HubDirk HusmeierEngineering and Physical Sciences Research Council (EPSRC)EP/T017899/1M&S - Statistics