Computer simulation of low-power and long-duration bipolar radiofrequency ablation under various baseline impedances.

Baseline impedance Bipolar radiofrequency ablation Computer simulation Long duration Low power Total impedance decline

Journal

Medical engineering & physics
ISSN: 1873-4030
Titre abrégé: Med Eng Phys
Pays: England
ID NLM: 9422753

Informations de publication

Date de publication:
Sep 2024
Historique:
received: 05 02 2024
revised: 05 08 2024
accepted: 12 08 2024
medline: 17 9 2024
pubmed: 17 9 2024
entrez: 16 9 2024
Statut: ppublish

Résumé

Compared to traditional unipolar radiofrequency ablation (RFA), bipolar RFA offers advantages such as more precise heat transfer and higher ablation efficiency. Clinically, myocardial baseline impedance (BI) is one of the important factors affecting the effectiveness of ablation. We aim at finding suitable ablation protocols and coping strategies by analyzing the ablation effects and myocardial impedance changes of bipolar RFA under different BIs. In this research, a three-dimensional local myocardial computer model was constructed for bipolar RFA simulation, and in vitro experimental data were used to validate accuracy. Four fixed low-power levels (20 W, 25 W, 30 W, and 35 W) and six myocardial BIs (91.02 Ω, 99.83 Ω, 111.03 Ω, 119.77 Ω, 130.03 Ω, and 135.45 Ω) were set as initial conditions, with an ablation duration of 120-s. In the context of low-power and long-duration (LPLD) ablation, the maximum TID (TID

Identifiants

pubmed: 39284653
pii: S1350-4533(24)00127-9
doi: 10.1016/j.medengphy.2024.104226
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

104226

Informations de copyright

Copyright © 2024 IPEM. Published by Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Competing interests None declared.

Auteurs

Yao Sun (Y)

Graduate Department of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Fukushima 965-8580, Japan. Electronic address: d8232115@u-aizu.ac.jp.

Xin Zhu (X)

Graduate Department of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Fukushima 965-8580, Japan. Electronic address: zhuxin@u-aizu.ac.jp.

Wenxi Chen (W)

Graduate Department of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Fukushima 965-8580, Japan. Electronic address: wenxi@u-aizu.ac.jp.

Weihao Weng (W)

Graduate Department of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Fukushima 965-8580, Japan. Electronic address: d8232117@u-aizu.ac.jp.

Keijiro Nakamura (K)

Division of Cardiovascular Medicine, Toho University Ohashi Medical Center, Meguro, Tokyo 153-8515, Japan. Electronic address: keijiro.nakamura@med.toho-u.ac.jp.

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