Literature DB >> 35240375

Computer modeling of radiofrequency cardiac ablation including heartbeat-induced electrode displacement.

Juan J Pérez1, Enrique Nadal2, Enrique Berjano1, Ana González-Suárez3.   

Abstract

BACKGROUND: The state of the art in computer modeling of radiofrequency catheter ablation (RFCA) only considers a static situation, i.e. it ignores ablation electrode displacements induced by tissue movement due to heartbeats. This feature is theoretically required, since heartbeat-induced changes in contact force can be detected during this clinical procedure.
METHODS: We built a 2D RFCA model coupling electrical, thermal and mechanical problems and simulated a standard energy setting (25 W-30 s). The mechanical interaction between the ablation electrode and tissue was dynamically modeled to reproduce heartbeat-induced changes in the electrode insertion depth from 0.86 to 2.05 mm, which corresponded with contact forces between 10 and 30 g when cardiac tissue was modeled by a hyperelastic Neo-Hookean model with a Young's modulus of 75 kPa and Poisson's ratio of 0.49.
RESULTS: The lesion size computed in the dynamic case was 6.04 mm deep, 9.48 mm maximum width and 6.98 mm surface width, which is within the range of previous experimental results based on a beating heart for a similar energy setting and contact force. The lesion size was practically identical (less than 0.04 mm difference) in the static case with the electrode inserted to an average depth of 1.46 mm (equivalent to 20 g contact force).
CONCLUSIONS: The RFCA model including heartbeat-induced electrode displacement predicts lesion depth reasonably well compared to previous experimental results based on a beating heart model.
Copyright © 2022 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Computer model; Contact force; Mechanical deformation; Radiofrequency ablation

Mesh:

Year:  2022        PMID: 35240375     DOI: 10.1016/j.compbiomed.2022.105346

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  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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