Literature DB >> 34844766

Computer modeling of radiofrequency cardiac ablation: 30 years of bioengineering research.

Ana González-Suárez1, Juan J Pérez2, Ramiro M Irastorza3, Andre D'Avila4, Enrique Berjano5.   

Abstract

This review begins with a rationale of the importance of theoretical, mathematical and computational models for radiofrequency (RF) catheter ablation (RFCA). We then describe the historical context in which each model was developed, its contribution to the knowledge of the physics of RFCA and its implications for clinical practice. Next, we review the computer modeling studies intended to improve our knowledge of the biophysics of RFCA and those intended to explore new technologies. We describe the most important technical details of the implementation of mathematical models, including governing equations, tissue properties, boundary conditions, etc. We discuss the utility of lumped element models, which despite their simplicity are widely used by clinical researchers to provide a physical explanation of how RF power is absorbed in different tissues. Computer model verification and validation are also discussed in the context of RFCA. The article ends with a section on the current limitations, i.e. aspects not yet included in state-of-the-art RFCA computer modeling and on future work aimed at covering the current gaps.
Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bioengineering; Cardiac ablation; Computer modeling; In-silico model; Radiofrequency ablation

Mesh:

Year:  2021        PMID: 34844766     DOI: 10.1016/j.cmpb.2021.106546

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  2 in total

1.  Low-energy (360 J) radiofrequency catheter ablation using moderate power - short duration: proof of concept based on in silico modeling.

Authors:  Juan J Pérez; Robert D'Angelo; Ana González-Suárez; Hiroshi Nakagawa; Enrique Berjano; Andre d'Avila
Journal:  J Interv Card Electrophysiol       Date:  2022-07-07       Impact factor: 1.900

2.  In-Silico Modeling to Compare Radiofrequency-Induced Thermal Lesions Created on Myocardium and Thigh Muscle.

Authors:  Juan J Pérez; Enrique Berjano; Ana González-Suárez
Journal:  Bioengineering (Basel)       Date:  2022-07-19
  2 in total

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