Comparisons of simulation results between passive and active fluid structure interaction models for left ventricle in hypertrophic obstructive cardiomyopathy.

Active computational model Fluid–structure interactions Left ventricle Mitral valve Passive computational model Systolic anterior motion

Journal

Biomedical engineering online
ISSN: 1475-925X
Titre abrégé: Biomed Eng Online
Pays: England
ID NLM: 101147518

Informations de publication

Date de publication:
12 Jan 2021
Historique:
received: 06 08 2020
accepted: 10 12 2020
entrez: 13 1 2021
pubmed: 14 1 2021
medline: 21 9 2021
Statut: epublish

Résumé

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. 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. 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. 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.

Sections du résumé

BACKGROUND 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 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 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 CONCLUSIONS
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.

Identifiants

pubmed: 33436013
doi: 10.1186/s12938-020-00838-4
pii: 10.1186/s12938-020-00838-4
pmc: PMC7805207
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

9

Subventions

Organisme : Natural Science Foundation of Fujian Province
ID : 2017J01009
Organisme : Fundamental Research Funds for the Central Universities (CN)
ID : 20720180004
Organisme : National Natural Sciences Foundation of China
ID : 11672001
Organisme : National Natural Sciences Foundation of China
ID : 11972117
Organisme : NHLBI NIH HHS
ID : R01 HL089269
Pays : United States
Organisme : National Natural Science Foundation of China
ID : 82000472
Organisme : National Natural Science Foundation of China
ID : 11671335

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Auteurs

Xueying Huang (X)

School of Mathematical Sciences, Xiamen University, Xiamen, 361005, Fujian, China. xhuang@xmu.edu.cn.
Mathematical Sciences Department, Worcester Polytechnic Institute, Worcester, MA, 01609, USA. xhuang@xmu.edu.cn.

Long Deng (L)

Department of Cardiac Surgery, Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing, China.

Heng Zuo (H)

School of Mathematical Sciences, Sichuan Normal University, Chengdu, Sichuan, China.

Chun Yang (C)

Mathematical Sciences Department, Worcester Polytechnic Institute, Worcester, MA, 01609, USA.
Network Technology Research Institute, China United Network Communications Co., Ltd., Beijing, China.

Yunhu Song (Y)

Department of Cardiac Surgery, Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing, China.

Mary Lesperance (M)

Department of Mathematics and Statistics, University of Victoria, Victoria, BC, V8P 5C2, Canada.

Dalin Tang (D)

Mathematical Sciences Department, Worcester Polytechnic Institute, Worcester, MA, 01609, USA.
School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.

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Classifications MeSH