How does radiofrequency ablation efficacy depend on the stiffness of the cardiac tissue? Insights from a computational model

Objective. Radiofrequency catheter ablation (RFCA) is an effective treatment for the elimination of cardiac arrhythmias, however it is not exempt from complications that can risk the patients’ life. The efficacy of the RFCA depends on several factors and uncertainties during the treatment process. I...

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Autores: Petras, A., Leoni, M., Guerra, J.M., Jansson, J., Gerardo-Giorda, L.
Formato: artículo
Estado:Versión enviada para evaluación y publicación
Fecha de publicación:2019
País:España
Recursos:Basque Center for Applied Mathematics (BCAM)
Repositorio:BIRD. BCAM's Institutional Repository Data
OAI Identifier:oai:bird.bcamath.org:20.500.11824/940
Acesso em linha:http://hdl.handle.net/20.500.11824/940
Access Level:acceso abierto
Palavra-chave:radiofrequency ablation
computational model
open-irrigated catheter
tissue elasticity
Young’s modulus
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spelling How does radiofrequency ablation efficacy depend on the stiffness of the cardiac tissue? Insights from a computational modelPetras, A.Leoni, M.Guerra, J.M.Jansson, J.Gerardo-Giorda, L.radiofrequency ablationcomputational modelopen-irrigated cathetertissue elasticityYoung’s modulusObjective. Radiofrequency catheter ablation (RFCA) is an effective treatment for the elimination of cardiac arrhythmias, however it is not exempt from complications that can risk the patients’ life. The efficacy of the RFCA depends on several factors and uncertainties during the treatment process. In this paper, we explore the effect of the cardiac tissue stiffness in RFCA. Methods. We use our previously developed RFCA computational model that accounts for the tissue elasticity. The tissue stiffness is described by the Young’s modulus of elasticity. Results. Our numerical simulations provide insights on the efficacy of the RFCA, by measuring the lesion dimensions over a wide range of values of the modulus of elasticity that appear during the cardiac cycle and for different cardiac conditions, using a fixed ablation protocol, commonly used in clinical practice. Conclusion. The stiffness of the cardiac wall affects the power dissipated in the tissue and, as a consequence, has a marked effect on the dimensions of the generated lesion. The heart wall elasticity changes due the cardiac cycle can affect the resulting lesion and can lead to potentially dangerous complications. Pathological conditions can stiffen the cardiac wall, thus reducing the size of the resulting lesion and potentially leading to insufficient treatment. Significance. A relation of the lesion size dimensions for different tissue stiffness and contact force is presented and correlated to different pathological conditions of the heart, showing the direct relation of the tissue stiffness with the efficacy of the RFCA treatment.201920192019info:eu-repo/semantics/articleinfo:eu-repo/semantics/submittedVersionapplication/pdfhttp://hdl.handle.net/20.500.11824/940reponame:BIRD. BCAM's Institutional Repository Datainstname:Basque Center for Applied Mathematics (BCAM)Inglésinfo:eu-repo/grantAgreement/MINECO//SEV-2017-0718info:eu-repo/grantAgreement/MINECO//MTM2016-76016-Rinfo:eu-repo/grantAgreement/MINECO//MTM2015-69992-Rinfo:eu-repo/grantAgreement/Gobierno Vasco/BERC/BERC.2018-2021Reconocimiento-NoComercial-CompartirIgual 3.0 Españahttp://creativecommons.org/licenses/by-nc-sa/3.0/es/info:eu-repo/semantics/openAccessoai:bird.bcamath.org:20.500.11824/9402026-06-19T12:47:47Z
dc.title.none.fl_str_mv How does radiofrequency ablation efficacy depend on the stiffness of the cardiac tissue? Insights from a computational model
title How does radiofrequency ablation efficacy depend on the stiffness of the cardiac tissue? Insights from a computational model
spellingShingle How does radiofrequency ablation efficacy depend on the stiffness of the cardiac tissue? Insights from a computational model
Petras, A.
radiofrequency ablation
computational model
open-irrigated catheter
tissue elasticity
Young’s modulus
title_short How does radiofrequency ablation efficacy depend on the stiffness of the cardiac tissue? Insights from a computational model
title_full How does radiofrequency ablation efficacy depend on the stiffness of the cardiac tissue? Insights from a computational model
title_fullStr How does radiofrequency ablation efficacy depend on the stiffness of the cardiac tissue? Insights from a computational model
title_full_unstemmed How does radiofrequency ablation efficacy depend on the stiffness of the cardiac tissue? Insights from a computational model
title_sort How does radiofrequency ablation efficacy depend on the stiffness of the cardiac tissue? Insights from a computational model
dc.creator.none.fl_str_mv Petras, A.
Leoni, M.
Guerra, J.M.
Jansson, J.
Gerardo-Giorda, L.
author Petras, A.
author_facet Petras, A.
Leoni, M.
Guerra, J.M.
Jansson, J.
Gerardo-Giorda, L.
author_role author
author2 Leoni, M.
Guerra, J.M.
Jansson, J.
Gerardo-Giorda, L.
author2_role author
author
author
author
dc.subject.none.fl_str_mv radiofrequency ablation
computational model
open-irrigated catheter
tissue elasticity
Young’s modulus
topic radiofrequency ablation
computational model
open-irrigated catheter
tissue elasticity
Young’s modulus
description Objective. Radiofrequency catheter ablation (RFCA) is an effective treatment for the elimination of cardiac arrhythmias, however it is not exempt from complications that can risk the patients’ life. The efficacy of the RFCA depends on several factors and uncertainties during the treatment process. In this paper, we explore the effect of the cardiac tissue stiffness in RFCA. Methods. We use our previously developed RFCA computational model that accounts for the tissue elasticity. The tissue stiffness is described by the Young’s modulus of elasticity. Results. Our numerical simulations provide insights on the efficacy of the RFCA, by measuring the lesion dimensions over a wide range of values of the modulus of elasticity that appear during the cardiac cycle and for different cardiac conditions, using a fixed ablation protocol, commonly used in clinical practice. Conclusion. The stiffness of the cardiac wall affects the power dissipated in the tissue and, as a consequence, has a marked effect on the dimensions of the generated lesion. The heart wall elasticity changes due the cardiac cycle can affect the resulting lesion and can lead to potentially dangerous complications. Pathological conditions can stiffen the cardiac wall, thus reducing the size of the resulting lesion and potentially leading to insufficient treatment. Significance. A relation of the lesion size dimensions for different tissue stiffness and contact force is presented and correlated to different pathological conditions of the heart, showing the direct relation of the tissue stiffness with the efficacy of the RFCA treatment.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019
2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/submittedVersion
format article
status_str submittedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.11824/940
url http://hdl.handle.net/20.500.11824/940
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/MINECO//SEV-2017-0718
info:eu-repo/grantAgreement/MINECO//MTM2016-76016-R
info:eu-repo/grantAgreement/MINECO//MTM2015-69992-R
info:eu-repo/grantAgreement/Gobierno Vasco/BERC/BERC.2018-2021
dc.rights.none.fl_str_mv Reconocimiento-NoComercial-CompartirIgual 3.0 España
http://creativecommons.org/licenses/by-nc-sa/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Reconocimiento-NoComercial-CompartirIgual 3.0 España
http://creativecommons.org/licenses/by-nc-sa/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:BIRD. BCAM's Institutional Repository Data
instname:Basque Center for Applied Mathematics (BCAM)
instname_str Basque Center for Applied Mathematics (BCAM)
reponame_str BIRD. BCAM's Institutional Repository Data
collection BIRD. BCAM's Institutional Repository Data
repository.name.fl_str_mv
repository.mail.fl_str_mv
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