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Novel “late potential map” algorithm: abnormal potentials and scar channels detection for ventricular tachycardia ablation

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dc.contributor.authorCortez-Dias, Nuno
dc.contributor.authorLima Da Silva, Gustavo
dc.contributor.authorFerreira, Afonso Nunes
dc.contributor.authorNakar, Elad
dc.contributor.authorFrancisco, Raquel
dc.contributor.authorPereira, Mariana
dc.contributor.authorCarpinteiro, Luís
dc.contributor.authorPinto, Fausto J.
dc.contributor.authorDe Sousa, João
dc.date.accessioned2022-08-02T16:55:46Z
dc.date.available2022-08-02T16:55:46Z
dc.date.issued2022
dc.description© 2022 Wiley Periodicals LLC.pt_PT
dc.description.abstractBackground: Automated systems for substrate mapping in the context of ventricular tachycardia (VT) ablation may annotate far-field rather than near-field signals, rendering the resulting maps hard to interpret. Additionally, quantitative assessment of local conduction velocity (LCV) remains an unmet need in clinical practice. We evaluate whether a new late potential map (LPM) algorithm can provide an automatic and reliable annotation and localized bipolar voltage measurement of ventricular electrograms (EGMs) and if LCV analysis allows recognizing intrascar conduction corridors acting as VT isthmuses. Methods: In 16 patients referred for scar-related VT ablation, 8 VT activation maps and 29 high-resolution substrate maps from different activation wavefronts were obtained. In offline analysis, the LPM algorithm was compared to manually annotated substrate maps. Locations of the VT isthmuses were compared with the corresponding substrate maps in regard to LCV. Results: The LPM algorithm had an overall/local abnormal ventricular activity (LAVA) annotation accuracy of 94.5%/81.1%, which compares to 83.7%/23.9% for the previous wavefront algorithm. The resultant maps presented a spatial concordance of 88.1% in delineating regions displaying LAVA. LAVA median localized bipolar voltage was 0.22 mV, but voltage amplitude assessment had modest accuracy in distinguishing LAVA from other abnormal EGMs (area under the curve: 0.676; p < .001). LCV analysis in high-density substrate maps identified a median of two intrascar conduction corridors per patient (interquartile range: 2-3), including the one acting as VT isthmus in all cases. Conclusion: The new LPM algorithm and LCV analysis may enhance substrate characterization in scar-related VT.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationJ Cardiovasc Electrophysiol. 2022 Jun;33(6):1211-1222pt_PT
dc.identifier.doi10.1111/jce.15470pt_PT
dc.identifier.eissn1540-8167
dc.identifier.issn1045-3873
dc.identifier.urihttp://hdl.handle.net/10451/54030
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherWileypt_PT
dc.relation.publisherversionhttps://onlinelibrary.wiley.com/journal/15408167pt_PT
dc.subjectAblationpt_PT
dc.subjectConduction velocitypt_PT
dc.subjectMappingpt_PT
dc.subjectVentricular tachycardiapt_PT
dc.titleNovel “late potential map” algorithm: abnormal potentials and scar channels detection for ventricular tachycardia ablationpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage1222pt_PT
oaire.citation.issue6pt_PT
oaire.citation.startPage1211pt_PT
oaire.citation.titleJournal of Cardiovascular Electrophysiologypt_PT
oaire.citation.volume33pt_PT
person.familyNameCortez-Dias
person.familyNameLima da Silva
person.familyNameNunes-Ferreira
person.familyNamePinto
person.familyNamede Sousa
person.givenNameNuno
person.givenNameGustavo
person.givenNameAfonso
person.givenNameFausto J.
person.givenNameJoão
person.identifier1308889
person.identifier.ciencia-idD612-D3C3-6E1D
person.identifier.ciencia-idFB15-EB01-5F40
person.identifier.ciencia-id0419-C014-BA22
person.identifier.ciencia-idC311-AEDD-6DBB
person.identifier.ciencia-id7D1D-FC15-13D6
person.identifier.orcid0000-0002-9244-4631
person.identifier.orcid0000-0003-3138-8354
person.identifier.orcid0000-0002-2836-9497
person.identifier.orcid0000-0002-8034-4529
person.identifier.orcid0000-0003-2782-8214
person.identifier.ridG-9363-2015
person.identifier.scopus-author-id7102740158
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication36f4a32d-38e4-4c28-9140-4ba468059a22
relation.isAuthorOfPublication19eb513b-6abf-4171-905e-8d8c36a33c6c
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relation.isAuthorOfPublication.latestForDiscoveryea30d6c6-61a5-4dc8-a175-d4b3631c168a

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