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Published on: April 11, 2025
Diagnostic Accuracy of 12-Lead ECG Algorithms for Accessory Pathway Localization in WPW: A Meta-Analysis
Elsayed S Moubarak1, Ahmed Farid Gadelmawla2, Almothana Manasrah3
1Faculty of Medicine, Cairo University, Cairo, Egypt.
Pacing and Clinical Electrophysiology : PACE
|August 11, 2026
Summary
Twelve-lead ECG algorithms accurately localize accessory pathways in Wolff-Parkinson-White (WPW) syndrome, aiding pre-ablation planning. While effective, invasive electrophysiological mapping remains crucial for definitive diagnosis.
Area of Science:
- Cardiology
- Electrophysiology
- Medical Diagnostics
Background:
- Wolff-Parkinson-White (WPW) syndrome involves accessory pathways.
- Accurate localization of these pathways is key for effective catheter ablation planning.
- Existing 12-lead electrocardiogram (ECG) algorithms for localization need consistent performance validation.
Purpose of the Study:
- To systematically review and meta-analyze the diagnostic accuracy of 12-lead ECG algorithms for accessory pathway localization in manifest WPW syndrome.
- To assess the performance of ECG-based algorithms in improving procedural planning and efficiency for catheter ablation.
Main Methods:
- Systematic review and meta-analysis following PRISMA-DTA guidelines.
- Searched major databases (PubMed, EMBASE, Cochrane, Web of Science, Scopus) from 1990 to 2026.
- Included studies on patients with manifest pre-excitation undergoing electrophysiological study (EPS) and ablation; EPS/ablation success was the reference standard.
Main Results:
- Included 17 studies with 3159 patients.
- Pooled diagnostic accuracy of ECG algorithms was 0.91 (95% CI 0.85-0.94) with substantial heterogeneity.
- Pooled sensitivity was 0.87 (95% CI 0.73-0.94) and pooled specificity was 0.98 (95% CI 0.95-0.99).
Conclusions:
- 12-lead ECG algorithms demonstrate high diagnostic performance for accessory pathway localization in manifest WPW.
- These ECG algorithms can serve as valuable adjuncts for pre-ablation planning.
- Invasive electrophysiological mapping remains indispensable for definitive diagnosis and treatment planning.
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