Cargando…

Multiple factors influence the morphology of the bipolar electrogram: An in silico modeling study

Although bipolar electrograms (Bi-egms) are commonly used for catheter mapping and ablation of cardiac arrhythmias, the accuracy and reproducibility of Bi-egms have not been evaluated. We aimed to clarify the influence of the catheter orientation (CO), catheter contact angle (CA), local conduction v...

Descripción completa

Detalles Bibliográficos
Autores principales: Hwang, Minki, Kim, Jaehyuk, Lim, Byounghyun, Song, Jun-Seop, Joung, Boyoung, Shim, Eun Bo, Pak, Hui-Nam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469793/
https://www.ncbi.nlm.nih.gov/pubmed/30951529
http://dx.doi.org/10.1371/journal.pcbi.1006765
_version_ 1783411681553022976
author Hwang, Minki
Kim, Jaehyuk
Lim, Byounghyun
Song, Jun-Seop
Joung, Boyoung
Shim, Eun Bo
Pak, Hui-Nam
author_facet Hwang, Minki
Kim, Jaehyuk
Lim, Byounghyun
Song, Jun-Seop
Joung, Boyoung
Shim, Eun Bo
Pak, Hui-Nam
author_sort Hwang, Minki
collection PubMed
description Although bipolar electrograms (Bi-egms) are commonly used for catheter mapping and ablation of cardiac arrhythmias, the accuracy and reproducibility of Bi-egms have not been evaluated. We aimed to clarify the influence of the catheter orientation (CO), catheter contact angle (CA), local conduction velocity (CV), scar size, and catheter type on the Bi-egm morphology using an in silico 3-dimensional realistic model of atrial fibrillation. We constructed a 3-dimensional, realistic, in silico left atrial model with activation wave propagation including bipolar catheter models. Bi-egms were obtained by computing the extracellular potentials from the distal and proximal electrodes. The amplitude and width were measured on virtual Bi-egms obtained under different conditions created by changing the CO according to the wave direction, catheter-atrial wall CA, local CV, size of the non-conductive area, and catheter type. Bipolar voltages were also compared between virtual and clinically acquired Bi-egms. Bi-egm amplitudes were lower for a perpendicular than parallel CO relative to the wave direction (p<0.001), lower for a 90° than 0° CA (p<0.001), and lower for a CV of 0.13m/s than 0.48m/s (p<0.001). Larger sized non-conductive areas were associated with a decreased bipolar amplitude (p<0.001) and increased bipolar width (p<0.001). Among three commercially available catheters (Orion, Pentaray, and Thermocool), those with more narrowly spaced and smaller electrodes produced higher voltages on the virtual Bi-egms (p<0.001). Multiple factors including the CO, CA, CV, and catheter design significantly influence the Bi-egm morphology. Universal voltage cut-off values may not be appropriate for bipolar voltage-guided substrate mapping.
format Online
Article
Text
id pubmed-6469793
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-64697932019-05-03 Multiple factors influence the morphology of the bipolar electrogram: An in silico modeling study Hwang, Minki Kim, Jaehyuk Lim, Byounghyun Song, Jun-Seop Joung, Boyoung Shim, Eun Bo Pak, Hui-Nam PLoS Comput Biol Research Article Although bipolar electrograms (Bi-egms) are commonly used for catheter mapping and ablation of cardiac arrhythmias, the accuracy and reproducibility of Bi-egms have not been evaluated. We aimed to clarify the influence of the catheter orientation (CO), catheter contact angle (CA), local conduction velocity (CV), scar size, and catheter type on the Bi-egm morphology using an in silico 3-dimensional realistic model of atrial fibrillation. We constructed a 3-dimensional, realistic, in silico left atrial model with activation wave propagation including bipolar catheter models. Bi-egms were obtained by computing the extracellular potentials from the distal and proximal electrodes. The amplitude and width were measured on virtual Bi-egms obtained under different conditions created by changing the CO according to the wave direction, catheter-atrial wall CA, local CV, size of the non-conductive area, and catheter type. Bipolar voltages were also compared between virtual and clinically acquired Bi-egms. Bi-egm amplitudes were lower for a perpendicular than parallel CO relative to the wave direction (p<0.001), lower for a 90° than 0° CA (p<0.001), and lower for a CV of 0.13m/s than 0.48m/s (p<0.001). Larger sized non-conductive areas were associated with a decreased bipolar amplitude (p<0.001) and increased bipolar width (p<0.001). Among three commercially available catheters (Orion, Pentaray, and Thermocool), those with more narrowly spaced and smaller electrodes produced higher voltages on the virtual Bi-egms (p<0.001). Multiple factors including the CO, CA, CV, and catheter design significantly influence the Bi-egm morphology. Universal voltage cut-off values may not be appropriate for bipolar voltage-guided substrate mapping. Public Library of Science 2019-04-05 /pmc/articles/PMC6469793/ /pubmed/30951529 http://dx.doi.org/10.1371/journal.pcbi.1006765 Text en © 2019 Hwang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hwang, Minki
Kim, Jaehyuk
Lim, Byounghyun
Song, Jun-Seop
Joung, Boyoung
Shim, Eun Bo
Pak, Hui-Nam
Multiple factors influence the morphology of the bipolar electrogram: An in silico modeling study
title Multiple factors influence the morphology of the bipolar electrogram: An in silico modeling study
title_full Multiple factors influence the morphology of the bipolar electrogram: An in silico modeling study
title_fullStr Multiple factors influence the morphology of the bipolar electrogram: An in silico modeling study
title_full_unstemmed Multiple factors influence the morphology of the bipolar electrogram: An in silico modeling study
title_short Multiple factors influence the morphology of the bipolar electrogram: An in silico modeling study
title_sort multiple factors influence the morphology of the bipolar electrogram: an in silico modeling study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469793/
https://www.ncbi.nlm.nih.gov/pubmed/30951529
http://dx.doi.org/10.1371/journal.pcbi.1006765
work_keys_str_mv AT hwangminki multiplefactorsinfluencethemorphologyofthebipolarelectrogramaninsilicomodelingstudy
AT kimjaehyuk multiplefactorsinfluencethemorphologyofthebipolarelectrogramaninsilicomodelingstudy
AT limbyounghyun multiplefactorsinfluencethemorphologyofthebipolarelectrogramaninsilicomodelingstudy
AT songjunseop multiplefactorsinfluencethemorphologyofthebipolarelectrogramaninsilicomodelingstudy
AT joungboyoung multiplefactorsinfluencethemorphologyofthebipolarelectrogramaninsilicomodelingstudy
AT shimeunbo multiplefactorsinfluencethemorphologyofthebipolarelectrogramaninsilicomodelingstudy
AT pakhuinam multiplefactorsinfluencethemorphologyofthebipolarelectrogramaninsilicomodelingstudy