Alcaine, AlejandroJáuregui, BeatrizSoto-Iglesias, DavidAcosta, JuanPenela, DiegoFernández-Armenta, JuanLinhart, MarkusAndreu, DavidMont, LluísLaguna, PabloCamara, OscarMartínez, Juan PabloBerruezo, Antonio2023-02-092023-02-092020-05-29http://hdl.handle.net/10668/15756Voltage 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). 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. 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 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.enAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/AdultAgedArrhythmias, CardiacArrhythmogenic Right Ventricular DysplasiaCatheter AblationCicatrixFemaleHumansMaleMiddle AgedRetrospective StudiesTachycardia, VentricularAutomatic Detection of Slow Conducting Channels during Substrate Ablation of Scar-Related Ventricular Arrhythmias.research article32549801open access10.1155/2020/43868411540-8183PMC7275947https://downloads.hindawi.com/journals/jitc/2020/4386841.pdfhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7275947/pdf