Differences in applied electrical power between full thorax models and limited-domain models for RF cardiac ablation

Publication date

2020-07-08T08:35:17Z

2020-07-08T08:35:17Z

2020

Abstract

Purpose: Most modeling studies on radiofrequency cardiac ablation (RFCA) are based on limited-domain models, which means the computational domain is restricted to a few centimeters of myocardium and blood around the active electrode. When mimicking constant power RFCA procedures (e.g., atrial fibrillation ablation) it is important to know how much power is absorbed around the active electrode and how much in the rest of the tissues before reaching the dispersive electrode. Methods: 3D thorax full models were built by progressively incorporating different organs and tissues with simplified geometries (cardiac chamber, cardiac wall, subcutaneous tissue and skin, spine, lungs and aorta). Other 2D limited-domain models were also built based on fragments of myocardium and blood. The electrical problem was solved for each model to estimate the spatial power distribution around the active electrode. Results: From 79 to 82% of the power was absorbed in a 4 cm-radius sphere around the active electrode in the full thorax model at active electrode insertion depths of between 0.5 and 2.5 mm, while the impedance values ranged from 104 to 118 Ω, which were consistent with those found (from 83 to 103 Ω) in a 4 cm radius cylindrical limited domain model. Conclusion: The applied power in limited-domain RFCA models is approximately 80% of that applied in full thorax models, which is equivalent to the power programed in a clinical setting.


This work was supported by the Spanish Ministerio de Economía, Industria y Competitividad under ‘Plan Estatal de Investigación, Desarrollo e Innovación Orientada a los Retos de la Sociedad’, Grant No [RTI2018-094357-B-C21], by the Universidad Nacional Arturo Jauretche – Argentina ‘UNAJ Investiga’ [80020170100019UJ], and by ‘Agencia Nacional de Promoción Científica y Tecnológica de Argentina’ [PICT-2016-2303].

Document Type

Article


Published version

Language

English

Publisher

Taylor & Francis

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info:eu-repo/grantAgreement/ES/2PE/RTI2018-094357-B-C21

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2020 The Author(s). Published with license by Taylor & Francis Group, LLC This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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