000095337 001__ 95337
000095337 005__ 20210902121746.0
000095337 0247_ $$2doi$$a10.1155/2020/4386841
000095337 0248_ $$2sideral$$a118702
000095337 037__ $$aART-2020-118702
000095337 041__ $$aeng
000095337 100__ $$0(orcid)0000-0002-0166-2837$$aAlcaine, Alejandro
000095337 245__ $$aAutomatic detection of slow conducting channels during substrate ablation of scar-related ventricular arrhythmias
000095337 260__ $$c2020
000095337 5060_ $$aAccess copy available to the general public$$fUnrestricted
000095337 5203_ $$aBackground. 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; p<0.01). 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, p<0.01). 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.
000095337 536__ $$9info:eu-repo/grantAgreement/ES/ISCIII-FEDER/PI14-00759$$9info:eu-repo/grantAgreement/ES/DGA-FSE/T39-20R-BSICoS group
000095337 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000095337 590__ $$a2.279$$b2020
000095337 591__ $$aCARDIAC & CARDIOVASCULAR SYSTEMS$$b94 / 141 = 0.667$$c2020$$dQ3$$eT3
000095337 592__ $$a0.764$$b2020
000095337 593__ $$aRadiology, Nuclear Medicine and Imaging$$c2020$$dQ2
000095337 593__ $$aCardiology and Cardiovascular Medicine$$c2020$$dQ2
000095337 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000095337 700__ $$aJáuregui, Beatriz
000095337 700__ $$aSoto-Iglesias, David
000095337 700__ $$aAcosta, Juan
000095337 700__ $$aPenela, Diego
000095337 700__ $$aFernández-Armenta, Juan
000095337 700__ $$aLinhart, Markus
000095337 700__ $$aAndreu, David
000095337 700__ $$aMont, Lluis
000095337 700__ $$0(orcid)0000-0003-3434-9254$$aLaguna, Pablo$$uUniversidad de Zaragoza
000095337 700__ $$aCámara, Óscar
000095337 700__ $$0(orcid)0000-0002-7503-3339$$aMartínez, Juan Pablo$$uUniversidad de Zaragoza
000095337 700__ $$aBerruezo, Antonio
000095337 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000095337 773__ $$g2020 (2020), 4386841 [13 pp.]$$pJ. interv. cardiol.$$tJournal of Interventional Cardiology$$x0896-4327
000095337 85641 $$uhttps://onlinelibrary.wiley.com/loi/15408183$$zTexto completo de la revista
000095337 8564_ $$s4338218$$uhttps://zaguan.unizar.es/record/95337/files/texto_completo.pdf$$yVersión publicada
000095337 8564_ $$s39305$$uhttps://zaguan.unizar.es/record/95337/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000095337 909CO $$ooai:zaguan.unizar.es:95337$$particulos$$pdriver
000095337 951__ $$a2021-09-02-09:46:30
000095337 980__ $$aARTICLE