Local Electrical Impedance Mapping of the Atria: Conclusions on Substrate Properties and Confounding Factors.

atrial fibrillation atrial substrate electrophysiology impedance mapping local impedance pulmonary vein isolation substrate mapping

Journal

Frontiers in physiology
ISSN: 1664-042X
Titre abrégé: Front Physiol
Pays: Switzerland
ID NLM: 101549006

Informations de publication

Date de publication:
2021
Historique:
received: 03 10 2021
accepted: 27 12 2021
entrez: 10 2 2022
pubmed: 11 2 2022
medline: 11 2 2022
Statut: epublish

Résumé

The treatment of atrial fibrillation and other cardiac arrhythmias as a major cause of cardiovascular hospitalization has remained a challenge predominantly for patients with severely remodeled substrate. Individualized ablation strategies are extremely important both for pulmonary vein isolation and subsequent ablations. Current approaches to identifying arrhythmogenic regions rely on electrogram-based features such as activation time and voltage. Novel technologies now enable clinical assessment of the local impedance as tissue property. Previous studies demonstrated its use for ablation monitoring and indicated its potential to differentiate healthy substrate, scar, and pathological tissue. This study investigates the potential of local electrical impedance-based substrate mapping of the atria for human

Identifiants

pubmed: 35140628
doi: 10.3389/fphys.2021.788885
pmc: PMC8819079
doi:

Types de publication

Journal Article

Langues

eng

Pagination

788885

Informations de copyright

Copyright © 2022 Unger, Schicketanz, Oesterlein, Stritt, Haas, Martínez Antón, Schmidt, Doessel and Luik.

Déclaration de conflit d'intérêts

TO is employed by Boston Scientific, Ratingen, Germany. AL is a consultant for Boston Scientific and has received speakers-fees from Boston Scientific, Biosense Webster and Bristol-Myers Squibb. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Laura Anna Unger (LA)

Institute of Biomedical Engineering, Department of Electrical Engineering and Information Technology, Karlsruhe Institute of Technology, Karlsruhe, Germany.

Leonie Schicketanz (L)

Institute of Biomedical Engineering, Department of Electrical Engineering and Information Technology, Karlsruhe Institute of Technology, Karlsruhe, Germany.

Tobias Oesterlein (T)

Boston Scientific, Ratingen, Germany.

Michael Stritt (M)

Institute of Biomedical Engineering, Department of Electrical Engineering and Information Technology, Karlsruhe Institute of Technology, Karlsruhe, Germany.

Annika Haas (A)

Medizinische Klinik IV, Städtisches Klinikum Karlsruhe, Academic Teaching Hospital of the University of Freiburg, Karlsruhe, Germany.

Carmen Martínez Antón (C)

Institute of Biomedical Engineering, Department of Electrical Engineering and Information Technology, Karlsruhe Institute of Technology, Karlsruhe, Germany.

Kerstin Schmidt (K)

Medizinische Klinik IV, Städtisches Klinikum Karlsruhe, Academic Teaching Hospital of the University of Freiburg, Karlsruhe, Germany.

Olaf Doessel (O)

Institute of Biomedical Engineering, Department of Electrical Engineering and Information Technology, Karlsruhe Institute of Technology, Karlsruhe, Germany.

Armin Luik (A)

Medizinische Klinik IV, Städtisches Klinikum Karlsruhe, Academic Teaching Hospital of the University of Freiburg, Karlsruhe, Germany.

Classifications MeSH