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Published in: Heart and Vessels 7/2023

Open Access 14-02-2023 | Cardiomyopathy | Original Article

First clinical experience using a novel automated mapping algorithm for mapping of ventricular arrhythmias

Authors: Guram Imnadze, Philipp Sommer, Thomas Fink, Mustapha El Hamriti, Moneeb Khalaph, Martin Braun, Vanessa Sciacca, Khuraman Isgandarova, Denise Guckel, Christian Sohns

Published in: Heart and Vessels | Issue 7/2023

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Abstract

A new automated vector-based mapping algorithm (AMA) for 3-dimensional (3D) mapping has been introduced. The aim of this study was to present our experience using AMA to recognize additional catheter ablation targets in patients with ventricular arrhythmias (VA). A total of 16 patients (ICM; ischemic cardiomyopathy, n = 6; NICM; non-ischemic cardiomyopathy n = 10) suffering from VA underwent catheter ablation. Following bipolar voltage mapping, AMA was utilized to reveal zones of decelerated conduction velocity vectors (CVV) and this information was superimposed onto the 3D reconstructions and compared with the presence of scar. Mapping time was 28.1 ± 10 min for the endocardial reconstruction of the left ventricle (LV) and 17 ± 5.4 min for the epicardium (n = 6 patients). The mean area of LV low voltage was 13.9 ± 15% (endocardial) and 11.9 ± 5.7% (epicardial). Decelerating CVV zones were revealed in all patients (mean conduction velocity threshold of 39.3 ± 13%). Sustained VA have been terminated through ablation and substrate modification was performed in all patients. Correlation between the presence of CVV deceleration zones and areas of abnormal low voltage from bipolar mapping was revealed in only 37.5% of patients, but there was good correlation between scar from unipolar voltage mapping and the presence of CCV deceleration zones (94%; p = 0.008). The novel AMA may improve the understanding of individual VA substrates due to the visualization of decelerated CVV zones and their correlation with abnormal low voltage predominantly from unipolar mapping.
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Metadata
Title
First clinical experience using a novel automated mapping algorithm for mapping of ventricular arrhythmias
Authors
Guram Imnadze
Philipp Sommer
Thomas Fink
Mustapha El Hamriti
Moneeb Khalaph
Martin Braun
Vanessa Sciacca
Khuraman Isgandarova
Denise Guckel
Christian Sohns
Publication date
14-02-2023
Publisher
Springer Japan
Published in
Heart and Vessels / Issue 7/2023
Print ISSN: 0910-8327
Electronic ISSN: 1615-2573
DOI
https://doi.org/10.1007/s00380-023-02245-w

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