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Automated conduction velocity estimation based on isochronal activation of heart chambers

BACKGROUND: Spatial differences in conduction velocity (CV) are critical for cardiac arrhythmias induction. We propose a method for an automated CV calculation to identify areas of slower conduction during cardiac arrhythmias and sinus rhythm. METHODS: Color-coded representations of the isochronal a...

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Autores principales: Santurri, Michela, Bonga, Jennifer, Schmid, Maurizio, Cauti, Filippo Maria, Solimene, Francesco, Polselli, Marco, Bura, Mauro, Piccolo, Francesco, Malacrida, Maurizio, Pelargonio, Gemma, Spera, Francesco Raffaele, Bianchi, Stefano, Rossi, Pietro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10066170/
https://www.ncbi.nlm.nih.gov/pubmed/36178554
http://dx.doi.org/10.1007/s10840-022-01339-1
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author Santurri, Michela
Bonga, Jennifer
Schmid, Maurizio
Cauti, Filippo Maria
Solimene, Francesco
Polselli, Marco
Bura, Mauro
Piccolo, Francesco
Malacrida, Maurizio
Pelargonio, Gemma
Spera, Francesco Raffaele
Bianchi, Stefano
Rossi, Pietro
author_facet Santurri, Michela
Bonga, Jennifer
Schmid, Maurizio
Cauti, Filippo Maria
Solimene, Francesco
Polselli, Marco
Bura, Mauro
Piccolo, Francesco
Malacrida, Maurizio
Pelargonio, Gemma
Spera, Francesco Raffaele
Bianchi, Stefano
Rossi, Pietro
author_sort Santurri, Michela
collection PubMed
description BACKGROUND: Spatial differences in conduction velocity (CV) are critical for cardiac arrhythmias induction. We propose a method for an automated CV calculation to identify areas of slower conduction during cardiac arrhythmias and sinus rhythm. METHODS: Color-coded representations of the isochronal activation map using data coming from the RHYTHMIA™ Mapping System were reproduced by applying a temporal isochronal window at 20 ms. Geodesic distances of the 3D mesh were calculated using an algorithm selecting the minimum distance pathway (MDP). The CV estimation was performed considering points on the boundary of two spatially and temporally adjacent isochrones. For each of the boundary points of a given isochrone, the nearest boundary point of the consecutive isochrone was chosen, the MDP was evaluated, and a map of CV was created. The proposed method has been applied to a population of 29 patients. RESULTS: In all cases of perimitral atrial flutter (16 pts out of 29 (55%)), areas with significantly low CV (< 30 cm/s) were found. Half of the cases present regions with low CV located in the anterior wall. No case with low CV at the so-called LA isthmus was observed. Right atrial maps during common atrial flutters showed low CV areas mainly located in the inferior inter-atrial septum. No areas of low CV were observed in subjects without a history of atrial arrhythmia while pts affected by paroxysmal AF showed areas with a limited extension of low CV. CONCLUSIONS: The proposed software for automated CV estimation allows the identification of low CV areas, potentially helping electrophysiologists to plan the ablation strategy.
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spelling pubmed-100661702023-04-02 Automated conduction velocity estimation based on isochronal activation of heart chambers Santurri, Michela Bonga, Jennifer Schmid, Maurizio Cauti, Filippo Maria Solimene, Francesco Polselli, Marco Bura, Mauro Piccolo, Francesco Malacrida, Maurizio Pelargonio, Gemma Spera, Francesco Raffaele Bianchi, Stefano Rossi, Pietro J Interv Card Electrophysiol Article BACKGROUND: Spatial differences in conduction velocity (CV) are critical for cardiac arrhythmias induction. We propose a method for an automated CV calculation to identify areas of slower conduction during cardiac arrhythmias and sinus rhythm. METHODS: Color-coded representations of the isochronal activation map using data coming from the RHYTHMIA™ Mapping System were reproduced by applying a temporal isochronal window at 20 ms. Geodesic distances of the 3D mesh were calculated using an algorithm selecting the minimum distance pathway (MDP). The CV estimation was performed considering points on the boundary of two spatially and temporally adjacent isochrones. For each of the boundary points of a given isochrone, the nearest boundary point of the consecutive isochrone was chosen, the MDP was evaluated, and a map of CV was created. The proposed method has been applied to a population of 29 patients. RESULTS: In all cases of perimitral atrial flutter (16 pts out of 29 (55%)), areas with significantly low CV (< 30 cm/s) were found. Half of the cases present regions with low CV located in the anterior wall. No case with low CV at the so-called LA isthmus was observed. Right atrial maps during common atrial flutters showed low CV areas mainly located in the inferior inter-atrial septum. No areas of low CV were observed in subjects without a history of atrial arrhythmia while pts affected by paroxysmal AF showed areas with a limited extension of low CV. CONCLUSIONS: The proposed software for automated CV estimation allows the identification of low CV areas, potentially helping electrophysiologists to plan the ablation strategy. Springer US 2022-09-30 2023 /pmc/articles/PMC10066170/ /pubmed/36178554 http://dx.doi.org/10.1007/s10840-022-01339-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Santurri, Michela
Bonga, Jennifer
Schmid, Maurizio
Cauti, Filippo Maria
Solimene, Francesco
Polselli, Marco
Bura, Mauro
Piccolo, Francesco
Malacrida, Maurizio
Pelargonio, Gemma
Spera, Francesco Raffaele
Bianchi, Stefano
Rossi, Pietro
Automated conduction velocity estimation based on isochronal activation of heart chambers
title Automated conduction velocity estimation based on isochronal activation of heart chambers
title_full Automated conduction velocity estimation based on isochronal activation of heart chambers
title_fullStr Automated conduction velocity estimation based on isochronal activation of heart chambers
title_full_unstemmed Automated conduction velocity estimation based on isochronal activation of heart chambers
title_short Automated conduction velocity estimation based on isochronal activation of heart chambers
title_sort automated conduction velocity estimation based on isochronal activation of heart chambers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10066170/
https://www.ncbi.nlm.nih.gov/pubmed/36178554
http://dx.doi.org/10.1007/s10840-022-01339-1
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