April 27, 2018Journal of Cardiovascular Electrophysiology
Localization of ventricular activation origin using patient‐specific geometry: Preliminary results
Key result
Novel statistical pace-mapping linked to ~61% lower epicardial localization error vs classical inverse solution.
- P=0.034
- n=7
Why the study?
Does a statistical pace-mapping method based on multiple linear regression improve the localization accuracy of ventricular activation origin compared to a classical inverse solution in patients undergoing VT ablation?
Population
7 patients undergoing ablation of ventricular tachycardia aided by electroanatomic mapping
Comparison
Statistical pace-mapping method based on… vs Classical deterministic electrocardiographic…
Design
Cohort
Authors
Discussion
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Implication
May support statistical pace-mapping for epicardial VT localization; hypothesis-generating and requires prospective validation before practice change.
Study Design
Type
Observational (n=7)
Structured PICO
Does a statistical pace-mapping method based on multiple linear regression improve the localization accuracy of ventricular activation origin compared to a classical inverse solution in patients undergoing VT ablation?
P
Population
7 patients undergoing ablation of ventricular tachycardia (VT) (4 with epicardial, 3 with endocardial exit) aided by electroanatomic mapping
I
Intervention
Statistical pace-mapping method based on multiple linear regression (MLR) using conventional 12-lead ECG and patient-specific geometry
C
Comparator
Classical deterministic electrocardiographic inverse solution using 120-lead body-surface potential mapping (BSPM) and CT-derived geometry
O
Outcome
Localization error of ventricular activation originsurrogate
Main Result
Absolute Event Rate: 10.6% vs 27.3%
p-value: p=0.034
A novel statistical pace-mapping method using standard 12-lead ECGs provides more accurate localization of ventricular activation origin than a classical 120-lead inverse solution, offering a simpler real-time tool for VT ablation.
Cite This Study
Zhou et al. (2018) conducted an observational in Ventricular tachycardia (n=7). Statistical pace-mapping method (multiple linear regression) vs. Classical deterministic inverse solution was evaluated on Median localization error for epicardial mapping (mm) (p=0.034). A novel statistical pace-mapping method significantly reduced median localization error compared to a classical inverse solution during epicardial mapping (10.6 vs. 27.3 mm, P=0.034).