Localization of ventricular activation origin using patient‐specific geometry: Preliminary results.

Abstract: Background and objectives: Catheter ablation of ventricular tachycardia (VT) may include induction of VT and localization of VT‐exit site. Our aim was to assess localization performance of a novel statistical pace‐mapping method and compare it with performance of an electrocardiographic in...

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Detalles Bibliográficos
Publicado en:Journal of Cardiovascular Electrophysiology Vol. 29; no. 7; pp. 979 - 987
Autores principales: Zhou, Shijie, Sapp, John L., AbdelWahab, Amir, Šťovíček, Petr, Horáček, B. Milan
Formato: pictorial research tables/charts tracings Journal Article
Publicado: Wiley-Blackwell Jul2018
Acceso en línea:Ver este registro en EBSCOhost
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Sumario:Abstract: Background and objectives: Catheter ablation of ventricular tachycardia (VT) may include induction of VT and localization of VT‐exit site. Our aim was to assess localization performance of a novel statistical pace‐mapping method and compare it with performance of an electrocardiographic inverse solution. Methods: Seven patients undergoing ablation of VT (4 with epicardial, 3 with endocardial exit) aided by electroanatomic mapping underwent intraprocedural 120‐lead body‐surface potential mapping (BSPM). Two approaches to localization of activation origin were tested: (1) A statistical method, based on multiple linear regression (MLR), which required only the conventional 12‐lead ECG for a sufficient number of pacing sites with known origin together with patient‐specific geometry of the endocardial/epicardial surface obtained by electroanatomic mapping; and (2) a classical deterministic inverse solution for recovering heart‐surface potentials, which required BSPM and patient‐specific geometry of the heart and torso obtained via computed tomography (CT). Results: For the MLR method, at least 10–15 pacing sites with known coordinates, together with their corresponding 12‐lead ECGs, were required to derive reliable patient‐specific regression equations, which then enabled accurate localization of ventricular activation with unknown origin. For 4 patients who underwent epicardial mapping, the median of localization error for the MLR was significantly lower than that for the inverse solution (10.6 vs. 27.3 mm, P  =  0.034); a similar result held for 3 patients who underwent endocardial mapping (7.7 vs. 17.1 mm, P  =  0.017). The pooled localization error for all epicardial and endocardial sites was also significantly smaller for the MLR compared with the inverse solution (P  =  0.005). Conclusions: The novel pace‐mapping approach to localizing the origin of ventricular activation offers an easily implementable supplement and/or alternative to the preprocedure inverse solution; its simplicity makes it suitable for real‐time applications during clinical catheter‐ablation procedures.