Literature DB >> 24816474

Characterization of radiofrequency ablation lesion development based on simulated and measured intracardiac electrograms.

Matthias Walter Keller, Steffen Schuler, Mathias Wilhelms, Gustavo Lenis, Gunnar Seemann, Claus Schmitt, Olaf Dössel, Armin Luik.   

Abstract

Radiofrequency ablation (RFA) therapy is the gold standard in interventional treatment of many cardiac arrhythmias. A major obstacle is nontransmural lesions, leading to recurrence of arrhythmias. Recent clinical studies have suggested intracardiac electrogram (EGM) criteria as a promising marker to evaluate lesion development. Seeking for a deeper understanding of underlying mechanisms, we established a simulation approach for acute RFA lesions. Ablation lesions were modeled by a passive necrotic core surrounded by a borderzone with properties of heated myocardium. Herein, conduction velocity and electrophysiological properties were altered. We simulated EGMs during RFA to study the relation between lesion formation and EGM changes using the bidomain model. Simulations were performed on a three-dimensional setup including a geometrically detailed representation of the catheter with highly conductive electrodes. For validation, EGMs recorded during RFA procedures in five patients were analyzed and compared to simulation results. Clinical data showed major changes in the distal unipolar EGM. During RFA, the negative peak amplitude decreased up to 104% and maximum negative deflection was up to 88% smaller at the end of the ablation sequence. These changes mainly occurred in the first 10 s after ablation onset. Simulated unipolar EGMs reproduced the clinical changes, reaching up to 83% negative peak amplitude reduction and 80% decrease in maximum negative deflection for transmural lesions. In future studies, the established model may enable the development of further EGM criteria for transmural lesions even for complex geometries in order to support clinical therapy.

Entities:  

Mesh:

Year:  2014        PMID: 24816474     DOI: 10.1109/TBME.2014.2322515

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  4 in total

Review 1.  A Review of Healthy and Fibrotic Myocardium Microstructure Modeling and Corresponding Intracardiac Electrograms.

Authors:  Jorge Sánchez; Axel Loewe
Journal:  Front Physiol       Date:  2022-05-10       Impact factor: 4.755

2.  Mini Electrodes on Ablation Catheters: Valuable Addition or Redundant Information?-Insights from a Computational Study.

Authors:  Stefan Pollnow; Joachim Greiner; Tobias Oesterlein; Eike M Wülfers; Axel Loewe; Olaf Dössel
Journal:  Comput Math Methods Med       Date:  2017-05-03       Impact factor: 2.238

3.  Atrial fibrosis identification with unipolar electrogram eigenvalue distribution analysis in multi-electrode arrays.

Authors:  Jennifer Riccio; Alejandro Alcaine; Sara Rocher; Laura Martinez-Mateu; Javier Saiz; Eric Invers-Rubio; Maria S Guillem; Juan Pablo Martínez; Pablo Laguna
Journal:  Med Biol Eng Comput       Date:  2022-09-13       Impact factor: 3.079

4.  Using Machine Learning to Characterize Atrial Fibrotic Substrate From Intracardiac Signals With a Hybrid in silico and in vivo Dataset.

Authors:  Jorge Sánchez; Giorgio Luongo; Mark Nothstein; Laura A Unger; Javier Saiz; Beatriz Trenor; Armin Luik; Olaf Dössel; Axel Loewe
Journal:  Front Physiol       Date:  2021-07-05       Impact factor: 4.566

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.