Arrhythmias & electrophysiology
A novel automated peak frequency annotation algorithm for identifying deceleration zones and ventricular tachycardia ablation sites
Authors' conclusion
A PF annotation algorithm with a cutoff of 220 Hz accurately identifies areas of fractioned signals and accurately predicts DZs during ILAM.
Study context
- Population
- Patients undergoing ventricular tachycardia (VT) ablation with ventricular electroanatomic mapping25 retrospective + 10 prospective
- Outcome
- Identification of high-fractionation areas in low bipolar voltage (220 Hz cutoff)
Methodological detailsretrospective derivation cohort, prospective validation cohort
- Retrospective derivation cohort
- Prospective validation cohort
Performance
As reported in the abstract
| Test or model | Sensitivity | Specificity |
|---|---|---|
| Peak frequency (PF) annotation | 91% | 85% |
Peak frequency (PF) annotation
Sensitivity91%
Specificity85%
Further findings
Prediction of fractionated areas and DZ, prospective validation cohort
- PF predicted fractionated areas and DZ
- 9 of 10 patients
Targeted DZ surface area
- No significant reduction in targeted DZ surface areas; colocalization with deceleration zones (DZs) in all cases
Original publication
A novel automated peak frequency annotation algorithm for identifying deceleration zones and ventricular tachycardia ablation sites. Heart Rhythm. Published 16 October 2023. doi:10.
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