Why the study?
Does non-invasive mapping improve the accuracy of localizing ventricular ectopic arrhythmias compared to traditional ECG algorithms in patients undergoing ablation?
Does non-invasive mapping improve the accuracy of localizing ventricular ectopic arrhythmias compared to traditional ECG algorithms in patients undergoing ablation?
Non-invasive mapping for localizing ventricular ectopic arrhythmias has an accuracy of 67%, which is comparable to traditional 12-lead ECG algorithms, suggesting it may not provide significant additional value over standard ECG for topical diagnosis.
Non-invasive mapping may aid pre-procedural planning for ventricular arrhythmia ablation; leaves open need for prospective validation.
Purpose. The aim of the study was to compare the accuracy of non-invasive topical diagnosis of ventricular arrhythmias and the data of intracardiac mapping. Materials and methods. Thirty-six patients (16 male and 20 female) 44.2±7.6 years of age having ventricular ectopic arrhythmias were included in retrospective study. Patient selection was based on the results of intracardiac mapping in such a way to form six equal groups by six patients in each. Before the ablation procedure, non-invasive mapping was performed in all patients. After the procedure, the accuracy of non-invasive mapping was evaluated in comparison with invasive procedure results. Results. Non-invasive mapping allows to localize the ectopic foci in the same anatomical zone with successful ablation site in 24 (67 %) of cases (p=0.0001 in comparison with invasive mapping). The correct localization of the ectopic foci using traditional topical diagnosis algorithm was possible in 23 (64 %) of cases (p=0.0001 in comparison with invasive mapping and p=0.805 in comparison with non-invasive mapping). Statistically insignificant bias of greater accuracy of non-invasive mapping in case of outflow tract location of the ectopic foci was registered. Conclusion. The accuracy of non-invasive mapping varies from 50 to 83 % depending on ectopic focus location (mean 67 %) that is comparable with traditional electrocardiographic topical diagnosis algorithm accuracy.
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Мамчур et al. (2016) studied this question.
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