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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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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 |
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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 |
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