Simulation of intracardiac electrograms around acute ablation lesions

Radiofrequency ablation (RFA) is a widely used clinical treatment for many types of cardiac arrhythmias. However, nontransmural lesions and gaps between linear lesions often lead to recurrence of the arrhythmia. Intracardiac electrograms (IEGMs) provide real-time information regarding the state of t...

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Main Authors: Greiner Joachim, Pollnow Stefan, Schuler Steffen, Lenis Gustavo, Seemann Gunnar, Dössel Olaf
Format: Article
Language:English
Published: De Gruyter 2016-09-01
Series:Current Directions in Biomedical Engineering
Subjects:
Online Access:https://doi.org/10.1515/cdbme-2016-0134
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author Greiner Joachim
Pollnow Stefan
Schuler Steffen
Lenis Gustavo
Seemann Gunnar
Dössel Olaf
author_facet Greiner Joachim
Pollnow Stefan
Schuler Steffen
Lenis Gustavo
Seemann Gunnar
Dössel Olaf
author_sort Greiner Joachim
collection DOAJ
description Radiofrequency ablation (RFA) is a widely used clinical treatment for many types of cardiac arrhythmias. However, nontransmural lesions and gaps between linear lesions often lead to recurrence of the arrhythmia. Intracardiac electrograms (IEGMs) provide real-time information regarding the state of the cardiac tissue surrounding the catheter tip. Nevertheless, the formation and interpretation of IEGMs during the RFA procedure is complex and yet not fully understood. In this in-silico study, we propose a computational model for acute ablation lesions. Our model consists of a necrotic scar core and a border zone, describing irreversible and reversible temperature induced electrophysiological phenomena. These phenomena are modeled by varying the intra- and extracellular conductivity of the tissue as well as a regulating zone factor. The computational model is evaluated regarding its feasibility and validity. Therefore, this model was compared to an existing one and to clinical measurements of five patients undergoing RFA. The results show that the model can indeed be used to recreate IEGMs. We computed IEGMs arising from complex ablation scars, such as scars with gaps or two overlapping ellipsoid scars. For orthogonal catheter orientation, the presence of a second necrotic core in the near-field of a punctiform acute ablation lesion had minor impact on the resulting signal morphology. The presented model can serve as a base for further research on the formation and interpretation of IEGMs.
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spelling doaj.art-65e93e1f5b984b4880258a20bccf60892022-12-21T23:16:13ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042016-09-012160761010.1515/cdbme-2016-0134cdbme-2016-0134Simulation of intracardiac electrograms around acute ablation lesionsGreiner Joachim0Pollnow Stefan1Schuler Steffen2Lenis Gustavo3Seemann Gunnar4Dössel Olaf5Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Kaiserstr. 12, 76128 Karlsruhe, GermanyInstitute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Kaiserstr. 12, 76128 Karlsruhe, GermanyInstitute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Kaiserstr. 12, 76128 Karlsruhe, GermanyInstitute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Kaiserstr. 12, 76128 Karlsruhe, GermanyInstitute for Experimental Cardiovascular Medicine, University Heart Center Freiburg – Bad Krozingen, Medical Center – University of Freiburg, Germany; and Medical Department, Albert-Ludwigs University, Freiburg, GermanyInstitute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Kaiserstr. 12, 76128 Karlsruhe, GermanyRadiofrequency ablation (RFA) is a widely used clinical treatment for many types of cardiac arrhythmias. However, nontransmural lesions and gaps between linear lesions often lead to recurrence of the arrhythmia. Intracardiac electrograms (IEGMs) provide real-time information regarding the state of the cardiac tissue surrounding the catheter tip. Nevertheless, the formation and interpretation of IEGMs during the RFA procedure is complex and yet not fully understood. In this in-silico study, we propose a computational model for acute ablation lesions. Our model consists of a necrotic scar core and a border zone, describing irreversible and reversible temperature induced electrophysiological phenomena. These phenomena are modeled by varying the intra- and extracellular conductivity of the tissue as well as a regulating zone factor. The computational model is evaluated regarding its feasibility and validity. Therefore, this model was compared to an existing one and to clinical measurements of five patients undergoing RFA. The results show that the model can indeed be used to recreate IEGMs. We computed IEGMs arising from complex ablation scars, such as scars with gaps or two overlapping ellipsoid scars. For orthogonal catheter orientation, the presence of a second necrotic core in the near-field of a punctiform acute ablation lesion had minor impact on the resulting signal morphology. The presented model can serve as a base for further research on the formation and interpretation of IEGMs.https://doi.org/10.1515/cdbme-2016-0134acute ablation lesionsin-silico modellingintracardiac electrogramsradiofrequency ablation
spellingShingle Greiner Joachim
Pollnow Stefan
Schuler Steffen
Lenis Gustavo
Seemann Gunnar
Dössel Olaf
Simulation of intracardiac electrograms around acute ablation lesions
Current Directions in Biomedical Engineering
acute ablation lesions
in-silico modelling
intracardiac electrograms
radiofrequency ablation
title Simulation of intracardiac electrograms around acute ablation lesions
title_full Simulation of intracardiac electrograms around acute ablation lesions
title_fullStr Simulation of intracardiac electrograms around acute ablation lesions
title_full_unstemmed Simulation of intracardiac electrograms around acute ablation lesions
title_short Simulation of intracardiac electrograms around acute ablation lesions
title_sort simulation of intracardiac electrograms around acute ablation lesions
topic acute ablation lesions
in-silico modelling
intracardiac electrograms
radiofrequency ablation
url https://doi.org/10.1515/cdbme-2016-0134
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AT schulersteffen simulationofintracardiacelectrogramsaroundacuteablationlesions
AT lenisgustavo simulationofintracardiacelectrogramsaroundacuteablationlesions
AT seemanngunnar simulationofintracardiacelectrogramsaroundacuteablationlesions
AT dosselolaf simulationofintracardiacelectrogramsaroundacuteablationlesions