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http://hdl.handle.net/2445/195318
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DC Field | Value | Language |
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dc.contributor.author | Alcaine, Alejandro | - |
dc.contributor.author | Jáuregui, Beatriz | - |
dc.contributor.author | Soto Iglesias, David | - |
dc.contributor.author | Acosta, Juan | - |
dc.contributor.author | Penela, Diego | - |
dc.contributor.author | Fernández Armenta, Juan | - |
dc.contributor.author | Linhart, Markus | - |
dc.contributor.author | Andreu, David | - |
dc.contributor.author | Mont Girbau, Lluís | - |
dc.contributor.author | Laguna, Pablo | - |
dc.contributor.author | Cámara, Óscar | - |
dc.contributor.author | Martínez, Juan Pablo | - |
dc.contributor.author | Berruezo, Antonio | - |
dc.date.accessioned | 2023-03-15T15:57:12Z | - |
dc.date.available | 2023-03-15T15:57:12Z | - |
dc.date.issued | 2020-05-29 | - |
dc.identifier.issn | 0896-4327 | - |
dc.identifier.uri | http://hdl.handle.net/2445/195318 | - |
dc.description.abstract | Background. Voltage mapping allows identifying the arrhythmogenic substrate during scar-related ventricular arrhythmia (VA) ablation procedures. Slow conducting channels (SCCs), defined by the presence of electrogram (EGM) signals with delayed components (EGM-DC), are responsible for sustaining VAs and constitute potential ablation targets. However, voltage mapping, as it is currently performed, is time-consuming, requiring a manual analysis of all EGMs to detect SCCs, and its accuracy is limited by electric far-field. We sought to evaluate an algorithm that automatically identifies EGM-DC, classifies mapping points, and creates new voltage maps, named "Slow Conducting Channel Maps" (SCC-Maps). Methods. Retrospective analysis of electroanatomic maps (EAM) from 20 patients (10 ischemic, 10 with arrhythmogenic right ventricular dysplasia/cardiomyopathy) was performed. EAM voltage maps were acquired during sinus rhythm and used for ablation. Preprocedural contrast-enhanced cardiac magnetic resonance (Ce-CMR) imaging was available for the ischemic population. Three mapping modalities were analysed: (i) EAM voltage maps using standard (EAM standard) or manual (EAM screening) thresholds for defining core and border zones; (ii) SCC-Maps derived from the use of the novel SCC-Mapping algorithm that automatically identify EGM-DCs measuring the voltage of the local component; and (iii) Ce-CMR maps (when available). The ability of each mapping modality in identifying SCCs and their agreement was evaluated. Results. SCC-Maps and EAM screening identified a greater number of SCC entrances than EAM standard (3.45 ± 1.61 and 2.95 ± 2.31, resp., vs. 1.05 ± 1.10; ). SCC-Maps and EAM screening highly correlate with Ce-CMR maps in the ischemic population when compared to EAM standard (Lin's correlation = 0.628 and 0.679, resp., vs. 0.212, ). Conclusion. The SCC-Mapping algorithm allows an operator-independent analysis of EGM signals showing better identification of the arrhythmogenic substrate characteristics when compared to standard voltage EAM. | - |
dc.format.extent | 13 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Wiley Hindawi Publishing | - |
dc.relation.isformatof | Reproducció del document publicat a: https://doi.org/10.1155/2020/4386841 | - |
dc.relation.ispartof | Journal of Interventional Cardiology, 2020, vol. 2020, num. , p. 4386841 | - |
dc.relation.uri | https://doi.org/10.1155/2020/4386841 | - |
dc.rights | cc-by (c) Alcaine, Alejandro et al., 2020 | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.source | Articles publicats en revistes (Medicina) | - |
dc.subject.classification | Arrítmia | - |
dc.subject.classification | Cicatrius | - |
dc.subject.classification | Cirurgia cardíaca | - |
dc.subject.classification | Persones de mitjana edat | - |
dc.subject.classification | Persones grans | - |
dc.subject.classification | Ablació percutània | - |
dc.subject.other | Arrhythmia | - |
dc.subject.other | Scars | - |
dc.subject.other | Heart surgery | - |
dc.subject.other | Middle aged persons | - |
dc.subject.other | Older people | - |
dc.subject.other | Catheter ablation | - |
dc.title | Automatic Detection of Slow Conducting Channels during Substrate Ablation of Scar-Related Ventricular Arrhythmias. | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/publishedVersion | - |
dc.identifier.idgrec | 708961 | - |
dc.date.updated | 2023-03-15T15:57:12Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
dc.identifier.pmid | 32549801 | - |
Appears in Collections: | Articles publicats en revistes (Medicina) Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer) |
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708961.pdf | 4.34 MB | Adobe PDF | View/Open |
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