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Automated verification of pulmonary vein isolation in radiofrequency‐ and cryoballoon‐guided ablation
Author(s) -
Pooter Jan,
Phlips Thomas,
El Haddad Milad,
Heuverswyn Frederic,
Timmers Liesbeth,
Tavernier René,
Knecht Sebastien,
Vandekerckhove Yves,
Duytschaever Mattias
Publication year - 2017
Publication title -
pacing and clinical electrophysiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.686
H-Index - 101
eISSN - 1540-8159
pISSN - 0147-8389
DOI - 10.1111/pace.13121
Subject(s) - medicine , pulmonary vein , atrial fibrillation , catheter ablation , ablation , cardiology , nuclear medicine
Background Verification of pulmonary vein isolation (PVI) can be challenging due to the coexistence of pulmonary vein potentials and far‐field potentials. This study aimed to prospectively validate a novel algorithm for automated verification of PVI in radiofrequency (RF)‐guided and cryoballoon (CB)‐guided ablation strategies. Methods A data set of 620 (RF: 516 EGMs and CB: 104 EGMs) bipolar electrograms (EGM), recorded by circular mapping catheter placed at the left atrium‐pulmonary vein (PV) junction, were prospectively analyzed by a two‐step algorithm. The algorithm differentiates isolated from nonisolated EGMs based on typology and specific parameters of the bipolar EGMs. EGMs were recorded at baseline and after proven isolation in RF‐ and CB‐guided procedures. Additionally, in the RF group, EGMs during encircling of the PVs were analyzed. Results In the RF and CB group, the algorithm correctly identifies EGMs as isolated or nonisolated with respectively 93% and 96% sensitivity and 86% and 90% specificity. In the RF subgroups of (1) baseline and proven isolated EGMs, (2) EGMs during encircling, and (3) EGMs in redo procedures sensitivity was 96%, 88%, and 100%, respectively, with specificity of 81%, 91%, and 100%. Fourteen out of 14 (100%) reconnected PVs were correctly identified as containing PVPs. Eleven out of 12 (92%) failed freeze attempts were correctly identified as being nonisolated. Conclusion We validated a two‐step algorithm for automated PVI verification, applicable both for RF‐ and CB‐guided PVI. The algorithm automatically differentiates isolated from nonisolated PVs with high accuracy and without the need for pacing maneuvers.