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Optimization of Left Ventricle Pace Maker Location Using Echo-Based Fluid-Structure Interaction Models
INTRODUCTION: Cardiac pacing has been an effective treatment in the management of patients with bradyarrhythmia and tachyarrhythmia. Different pacemaker location has different responses, and pacemaker effectiveness to each individual can also be different. A novel image-based ventricle animal modeli...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8892190/ https://www.ncbi.nlm.nih.gov/pubmed/35250642 http://dx.doi.org/10.3389/fphys.2022.843421 |
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author | Fan, Longling Yao, Jing Wang, Liang Xu, Di Tang, Dalin |
author_facet | Fan, Longling Yao, Jing Wang, Liang Xu, Di Tang, Dalin |
author_sort | Fan, Longling |
collection | PubMed |
description | INTRODUCTION: Cardiac pacing has been an effective treatment in the management of patients with bradyarrhythmia and tachyarrhythmia. Different pacemaker location has different responses, and pacemaker effectiveness to each individual can also be different. A novel image-based ventricle animal modeling approach was proposed to optimize ventricular pacemaker site for better cardiac outcome. METHOD: One health female adult pig (weight 42.5 kg) was used to make a pacing animal model with different ventricle pacing locations. Ventricle surface electric signal, blood pressure and echo image were acquired 15 min after the pacemaker was implanted. Echo-based left ventricle fluid-structure interaction models were constructed to perform ventricle function analysis and investigate impact of pacemaker location on cardiac outcome. With the measured electric signal map from the pig associated with the actual pacemaker site, electric potential conduction of myocardium was modeled by material stiffening and softening in our model, with stiffening simulating contraction and softening simulating relaxation. Ventricle model without pacemaker (NP model) and three ventricle models with the following pacemaker locations were simulated: right ventricular apex (RVA model), posterior interventricular septum (PIVS model) and right ventricular outflow tract (RVOT model). Since higher peak flow velocity, flow shear stress (FSS), ventricle stress and strain are linked to better cardiac function, those data were collected for model comparisons. RESULTS: At the peak of filling, velocity magnitude, FSS, stress and strain for RVOT and PIVS models were 13%, 45%, 18%, 13% and 5%, 30%, 10%, 5% higher than NP model, respectively. At the peak of ejection, velocity magnitude, FSS, stress and strain for RVOT and PIVS models were 50%, 44%, 54%, 59% and 23%, 36%, 39%, 53% higher than NP model, respectively. RVA model had lower velocity, FSS, stress and strain than NP model. RVOT model had higher peak flow velocity and stress/strain than PIVS model. It indicated RVOT pacemaker site may be the best location. CONCLUSION: This preliminary study indicated that RVOT model had the best performance among the four models compared. This modeling approach could be used as “virtual surgery” to try various pacemaker locations and avoid risky and dangerous surgical experiments on real patients. |
format | Online Article Text |
id | pubmed-8892190 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88921902022-03-04 Optimization of Left Ventricle Pace Maker Location Using Echo-Based Fluid-Structure Interaction Models Fan, Longling Yao, Jing Wang, Liang Xu, Di Tang, Dalin Front Physiol Physiology INTRODUCTION: Cardiac pacing has been an effective treatment in the management of patients with bradyarrhythmia and tachyarrhythmia. Different pacemaker location has different responses, and pacemaker effectiveness to each individual can also be different. A novel image-based ventricle animal modeling approach was proposed to optimize ventricular pacemaker site for better cardiac outcome. METHOD: One health female adult pig (weight 42.5 kg) was used to make a pacing animal model with different ventricle pacing locations. Ventricle surface electric signal, blood pressure and echo image were acquired 15 min after the pacemaker was implanted. Echo-based left ventricle fluid-structure interaction models were constructed to perform ventricle function analysis and investigate impact of pacemaker location on cardiac outcome. With the measured electric signal map from the pig associated with the actual pacemaker site, electric potential conduction of myocardium was modeled by material stiffening and softening in our model, with stiffening simulating contraction and softening simulating relaxation. Ventricle model without pacemaker (NP model) and three ventricle models with the following pacemaker locations were simulated: right ventricular apex (RVA model), posterior interventricular septum (PIVS model) and right ventricular outflow tract (RVOT model). Since higher peak flow velocity, flow shear stress (FSS), ventricle stress and strain are linked to better cardiac function, those data were collected for model comparisons. RESULTS: At the peak of filling, velocity magnitude, FSS, stress and strain for RVOT and PIVS models were 13%, 45%, 18%, 13% and 5%, 30%, 10%, 5% higher than NP model, respectively. At the peak of ejection, velocity magnitude, FSS, stress and strain for RVOT and PIVS models were 50%, 44%, 54%, 59% and 23%, 36%, 39%, 53% higher than NP model, respectively. RVA model had lower velocity, FSS, stress and strain than NP model. RVOT model had higher peak flow velocity and stress/strain than PIVS model. It indicated RVOT pacemaker site may be the best location. CONCLUSION: This preliminary study indicated that RVOT model had the best performance among the four models compared. This modeling approach could be used as “virtual surgery” to try various pacemaker locations and avoid risky and dangerous surgical experiments on real patients. Frontiers Media S.A. 2022-02-17 /pmc/articles/PMC8892190/ /pubmed/35250642 http://dx.doi.org/10.3389/fphys.2022.843421 Text en Copyright © 2022 Fan, Yao, Wang, Xu and Tang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Fan, Longling Yao, Jing Wang, Liang Xu, Di Tang, Dalin Optimization of Left Ventricle Pace Maker Location Using Echo-Based Fluid-Structure Interaction Models |
title | Optimization of Left Ventricle Pace Maker Location Using Echo-Based Fluid-Structure Interaction Models |
title_full | Optimization of Left Ventricle Pace Maker Location Using Echo-Based Fluid-Structure Interaction Models |
title_fullStr | Optimization of Left Ventricle Pace Maker Location Using Echo-Based Fluid-Structure Interaction Models |
title_full_unstemmed | Optimization of Left Ventricle Pace Maker Location Using Echo-Based Fluid-Structure Interaction Models |
title_short | Optimization of Left Ventricle Pace Maker Location Using Echo-Based Fluid-Structure Interaction Models |
title_sort | optimization of left ventricle pace maker location using echo-based fluid-structure interaction models |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8892190/ https://www.ncbi.nlm.nih.gov/pubmed/35250642 http://dx.doi.org/10.3389/fphys.2022.843421 |
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