Optimization of Catheter Ablation of Atrial Fibrillation: Insights Gained from Clinically-Derived Computer Models

Atrial fibrillation (AF) is the most common heart rhythm disturbance, and its treatment is an increasing economic burden on the health care system. Despite recent intense clinical, experimental and basic research activity, the treatment of AF with current antiarrhythmic drugs and catheter/surgical t...

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Main Authors: Jichao Zhao, Sanjay R. Kharche, Brian J. Hansen, Thomas A. Csepe, Yufeng Wang, Martin K. Stiles, Vadim V. Fedorov
Format: Article
Language:English
Published: MDPI AG 2015-05-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:http://www.mdpi.com/1422-0067/16/5/10834
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spelling doaj-f76e6aeccbd04c4b9cf1da8d84e9786c2020-11-24T21:15:21ZengMDPI AGInternational Journal of Molecular Sciences1422-00672015-05-01165108341085410.3390/ijms160510834ijms160510834Optimization of Catheter Ablation of Atrial Fibrillation: Insights Gained from Clinically-Derived Computer ModelsJichao Zhao0Sanjay R. Kharche1Brian J. Hansen2Thomas A. Csepe3Yufeng Wang4Martin K. Stiles5Vadim V. Fedorov6Auckland Bioengineering Institute, University of Auckland, Auckland 1142, New ZealandCollege of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QF, UKDepartment of Physiology & Cell Biology and Davis Heart & Lung Research Institute, the Ohio State University Wexner Medical Center, Columbus, OH 43210, USADepartment of Physiology & Cell Biology and Davis Heart & Lung Research Institute, the Ohio State University Wexner Medical Center, Columbus, OH 43210, USAAuckland Bioengineering Institute, University of Auckland, Auckland 1142, New ZealandDepartment of Cardiology, Waikato Hospital, Hamilton 3240, New ZealandDepartment of Physiology & Cell Biology and Davis Heart & Lung Research Institute, the Ohio State University Wexner Medical Center, Columbus, OH 43210, USAAtrial fibrillation (AF) is the most common heart rhythm disturbance, and its treatment is an increasing economic burden on the health care system. Despite recent intense clinical, experimental and basic research activity, the treatment of AF with current antiarrhythmic drugs and catheter/surgical therapies remains limited. Radiofrequency catheter ablation (RFCA) is widely used to treat patients with AF. Current clinical ablation strategies are largely based on atrial anatomy and/or substrate detected using different approaches, and they vary from one clinical center to another. The nature of clinical ablation leads to ambiguity regarding the optimal patient personalization of the therapy partly due to the fact that each empirical configuration of ablation lines made in a patient is irreversible during one ablation procedure. To investigate optimized ablation lesion line sets, in silico experimentation is an ideal solution. 3D computer models give us a unique advantage to plan and assess the effectiveness of different ablation strategies before and during RFCA. Reliability of in silico assessment is ensured by inclusion of accurate 3D atrial geometry, realistic fiber orientation, accurate fibrosis distribution and cellular kinetics; however, most of this detailed information in the current computer models is extrapolated from animal models and not from the human heart. The predictive power of computer models will increase as they are validated with human experimental and clinical data. To make the most from a computer model, one needs to develop 3D computer models based on the same functionally and structurally mapped intact human atria with high spatial resolution. The purpose of this review paper is to summarize recent developments in clinically-derived computer models and the clinical insights they provide for catheter ablation.http://www.mdpi.com/1422-0067/16/5/10834cardiac arrhythmiasatrial fibrillationcatheter ablationcomputer modelpatient specific modelrotorsre-entryfibrosispulmonary vein isolation
collection DOAJ
language English
format Article
sources DOAJ
author Jichao Zhao
Sanjay R. Kharche
Brian J. Hansen
Thomas A. Csepe
Yufeng Wang
Martin K. Stiles
Vadim V. Fedorov
spellingShingle Jichao Zhao
Sanjay R. Kharche
Brian J. Hansen
Thomas A. Csepe
Yufeng Wang
Martin K. Stiles
Vadim V. Fedorov
Optimization of Catheter Ablation of Atrial Fibrillation: Insights Gained from Clinically-Derived Computer Models
International Journal of Molecular Sciences
cardiac arrhythmias
atrial fibrillation
catheter ablation
computer model
patient specific model
rotors
re-entry
fibrosis
pulmonary vein isolation
author_facet Jichao Zhao
Sanjay R. Kharche
Brian J. Hansen
Thomas A. Csepe
Yufeng Wang
Martin K. Stiles
Vadim V. Fedorov
author_sort Jichao Zhao
title Optimization of Catheter Ablation of Atrial Fibrillation: Insights Gained from Clinically-Derived Computer Models
title_short Optimization of Catheter Ablation of Atrial Fibrillation: Insights Gained from Clinically-Derived Computer Models
title_full Optimization of Catheter Ablation of Atrial Fibrillation: Insights Gained from Clinically-Derived Computer Models
title_fullStr Optimization of Catheter Ablation of Atrial Fibrillation: Insights Gained from Clinically-Derived Computer Models
title_full_unstemmed Optimization of Catheter Ablation of Atrial Fibrillation: Insights Gained from Clinically-Derived Computer Models
title_sort optimization of catheter ablation of atrial fibrillation: insights gained from clinically-derived computer models
publisher MDPI AG
series International Journal of Molecular Sciences
issn 1422-0067
publishDate 2015-05-01
description Atrial fibrillation (AF) is the most common heart rhythm disturbance, and its treatment is an increasing economic burden on the health care system. Despite recent intense clinical, experimental and basic research activity, the treatment of AF with current antiarrhythmic drugs and catheter/surgical therapies remains limited. Radiofrequency catheter ablation (RFCA) is widely used to treat patients with AF. Current clinical ablation strategies are largely based on atrial anatomy and/or substrate detected using different approaches, and they vary from one clinical center to another. The nature of clinical ablation leads to ambiguity regarding the optimal patient personalization of the therapy partly due to the fact that each empirical configuration of ablation lines made in a patient is irreversible during one ablation procedure. To investigate optimized ablation lesion line sets, in silico experimentation is an ideal solution. 3D computer models give us a unique advantage to plan and assess the effectiveness of different ablation strategies before and during RFCA. Reliability of in silico assessment is ensured by inclusion of accurate 3D atrial geometry, realistic fiber orientation, accurate fibrosis distribution and cellular kinetics; however, most of this detailed information in the current computer models is extrapolated from animal models and not from the human heart. The predictive power of computer models will increase as they are validated with human experimental and clinical data. To make the most from a computer model, one needs to develop 3D computer models based on the same functionally and structurally mapped intact human atria with high spatial resolution. The purpose of this review paper is to summarize recent developments in clinically-derived computer models and the clinical insights they provide for catheter ablation.
topic cardiac arrhythmias
atrial fibrillation
catheter ablation
computer model
patient specific model
rotors
re-entry
fibrosis
pulmonary vein isolation
url http://www.mdpi.com/1422-0067/16/5/10834
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