Xueying Huang1,2, Long Deng3, Heng Zuo4, Chun Yang5,6, Yunhu Song3, Mary Lesperance7, Dalin Tang5,8. 1. School of Mathematical Sciences, Xiamen University, Xiamen, 361005, Fujian, China. xhuang@xmu.edu.cn. 2. Mathematical Sciences Department, Worcester Polytechnic Institute, Worcester, MA, 01609, USA. xhuang@xmu.edu.cn. 3. Department of Cardiac Surgery, Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing, China. 4. School of Mathematical Sciences, Sichuan Normal University, Chengdu, Sichuan, China. 5. Mathematical Sciences Department, Worcester Polytechnic Institute, Worcester, MA, 01609, USA. 6. Network Technology Research Institute, China United Network Communications Co., Ltd., Beijing, China. 7. Department of Mathematics and Statistics, University of Victoria, Victoria, BC, V8P 5C2, Canada. 8. School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.
Abstract
BACKGROUND: Patient-specific active fluid-structure interactions (FSI) model is a useful approach to non-invasively investigate the hemodynamics in the heart. However, it takes a lot of effort to obtain the proper external force boundary conditions for active models, which heavily restrained the time-sensitive clinical applications of active computational models. METHODS: The simulation results of 12 passive FSI models based on 6 patients' pre-operative and post-operative CT images were compared with corresponding active models to investigate the differences in hemodynamics and cardiac mechanics between these models. RESULTS: In comparing the passive and active models, it was found that there was no significant difference in pressure difference and shear stress on mitral valve leaflet (MVL) at the pre-SAM time point, but a significant difference was found in wall stress on the inner boundary of left ventricle (endocardium). It was also found that pressure difference on the coapted MVL and the shear stress on MVL were significantly decreased after successful surgery in both active and passive models. CONCLUSION: Our results suggested that the passive models may provide good approximated hemodynamic results at 5% RR interval, which is crucial for analyzing the initiation of systolic anterior motion (SAM). Comparing to active models, the passive models decrease the complexity of the modeling construction and the difficulty of convergence significantly. These findings suggest that, with proper boundary conditions and sufficient clinical data, the passive computational model may be a good substitution model for the active model to perform hemodynamic analysis of the initiation of SAM.
BACKGROUND:Patient-specific active fluid-structure interactions (FSI) model is a useful approach to non-invasively investigate the hemodynamics in the heart. However, it takes a lot of effort to obtain the proper external force boundary conditions for active models, which heavily restrained the time-sensitive clinical applications of active computational models. METHODS: The simulation results of 12 passive FSI models based on 6 patients' pre-operative and post-operative CT images were compared with corresponding active models to investigate the differences in hemodynamics and cardiac mechanics between these models. RESULTS: In comparing the passive and active models, it was found that there was no significant difference in pressure difference and shear stress on mitral valve leaflet (MVL) at the pre-SAM time point, but a significant difference was found in wall stress on the inner boundary of left ventricle (endocardium). It was also found that pressure difference on the coapted MVL and the shear stress on MVL were significantly decreased after successful surgery in both active and passive models. CONCLUSION: Our results suggested that the passive models may provide good approximated hemodynamic results at 5% RR interval, which is crucial for analyzing the initiation of systolic anterior motion (SAM). Comparing to active models, the passive models decrease the complexity of the modeling construction and the difficulty of convergence significantly. These findings suggest that, with proper boundary conditions and sufficient clinical data, the passive computational model may be a good substitution model for the active model to perform hemodynamic analysis of the initiation of SAM.
Entities:
Keywords:
Active computational model; Fluid–structure interactions; Left ventricle; Mitral valve; Passive computational model; Systolic anterior motion
Authors: Renee Miller; Eric Kerfoot; Charlène Mauger; Tevfik F Ismail; Alistair A Young; David A Nordsletten Journal: Front Physiol Date: 2021-09-16 Impact factor: 4.566