Literature DB >> 19337910

Effect of electrode thermal conductivity in cardiac radiofrequency catheter ablation: a computational modeling study.

David Schutt1, Enrique J Berjano, Dieter Haemmerich.   

Abstract

PURPOSE: Radiofrequency (RF ablation) is the treatment of choice for certain types of cardiac arrhythmias. Recent studies have suggested that using gold instead of platinum as the electrode material for cardiac catheter ablation leads to larger thermal lesions due to its higher thermal conductivity. In this study we created computer models to compare the effects of different electrode materials on lesion dimensions using different catheters, insertion depths, and flow rates.
MATERIALS AND METHODS: Finite element method (FEM) models of two cardiac ablation electrodes (7Fr, length 4 mm and 8Fr, length 10 mm) made of platinum, gold, and copper were created with tissue insertion depths of 0.75, 1.25, and 2.5 mm. Convective cooling was applied to the electrode and tissue based on measurements from previous studies at different flow rates. RF ablations were simulated with both temperature control and constant power control algorithms to determine temperature profiles after 60 s.
RESULTS: With the constant power algorithm there was no difference in lesion dimensions between the electrode materials over the range of parameters. With the temperature control algorithm, lesion width and depth were only marginally larger ( approximately 0.1-0.7 mm) with the gold and copper electrodes compared to the platinum electrode for all parameter combinations.
CONCLUSION: Our computer modelling results show only minor increases in thermal lesion dimensions with electrode materials of higher thermal conductivity. These observed differences likely do not provide a significant advantage during clinical procedures.

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Year:  2009        PMID: 19337910     DOI: 10.1080/02656730802563051

Source DB:  PubMed          Journal:  Int J Hyperthermia        ISSN: 0265-6736            Impact factor:   3.914


  8 in total

1.  Mathematical modeling of epicardial RF ablation of atrial tissue with overlying epicardial fat.

Authors:  Ana González Suárez; Fernando Hornero; Enrique J Berjano
Journal:  Open Biomed Eng J       Date:  2010-02-04

2.  Mathematical models based on transfer functions to estimate tissue temperature during RF cardiac ablation in real time.

Authors:  Jose Alba-Martínez; Macarena Trujillo; Ramon Blasco-Gimenez; Enrique Berjano
Journal:  Open Biomed Eng J       Date:  2012-03-08

3.  Should fluid dynamics be included in computer models of RF cardiac ablation by irrigated-tip electrodes?

Authors:  Ana González-Suárez; Juan J Pérez; Enrique Berjano
Journal:  Biomed Eng Online       Date:  2018-04-20       Impact factor: 2.819

4.  Multiscale and Multiphysics Modeling of Anisotropic Cardiac RFCA: Experimental-Based Model Calibration via Multi-Point Temperature Measurements.

Authors:  Leonardo Molinari; Martina Zaltieri; Carlo Massaroni; Simonetta Filippi; Alessio Gizzi; Emiliano Schena
Journal:  Front Physiol       Date:  2022-04-19       Impact factor: 4.755

5.  A computational comparison of radiofrequency and pulsed field ablation in terms of lesion morphology in the cardiac chamber.

Authors:  Mario Gómez-Barea; Tomás García-Sánchez; Antoni Ivorra
Journal:  Sci Rep       Date:  2022-09-27       Impact factor: 4.996

6.  Contact geometry affects lesion formation in radio-frequency cardiac catheter ablation.

Authors:  Neal Gallagher; Elise C Fear; Israel A Byrd; Edward J Vigmond
Journal:  PLoS One       Date:  2013-09-23       Impact factor: 3.240

7.  Computational Modeling of Open-Irrigated Electrodes for Radiofrequency Cardiac Ablation Including Blood Motion-Saline Flow Interaction.

Authors:  Ana González-Suárez; Enrique Berjano; Jose M Guerra; Luca Gerardo-Giorda
Journal:  PLoS One       Date:  2016-03-03       Impact factor: 3.240

8.  Mathematical Modeling of Breast Tumor Destruction Using Fast Heating during Radiofrequency Ablation.

Authors:  Marek Paruch
Journal:  Materials (Basel)       Date:  2019-12-28       Impact factor: 3.623

  8 in total

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