Optimal Annotation of Local Activation Time in Ventricular Tachycardia Substrate Mapping
Joshua Hawson1, Robert D Anderson1, Souvik K Das1
1Department of Cardiology, Royal Melbourne Hospital, Melbourne, Victoria, Australia; Faculty of Medicine, Dentistry and Health Science, University of Melbourne, Melbourne, Victoria, Australia.
JACC. Clinical Electrophysiology
|December 15, 2023
Summary
Accurate ventricular tachycardia (VT) substrate mapping relies on optimal local activation time (LAT) annotation. The latest bipolar electrogram (LATlatest) method is most effective for identifying critical VT re-entry sites, making it the proposed gold standard.
Area of Science:
- Electrophysiology
- Cardiac Mapping
- Ventricular Tachycardia
Background:
- Accurate local activation time (LAT) annotation is crucial for assessing ventricular tachycardia (VT) substrate.
- Current LAT annotation methods include earliest, peak, latest bipolar electrogram, and steepest unipolar -dV/dt.
- The optimal method for LAT annotation in VT substrate mapping remains unclear.
Purpose of the Study:
- To investigate and compare different LAT annotation methods for VT substrate mapping.
- To determine the most effective method for identifying critical VT re-entry sites.
Main Methods:
- High-density VT substrate maps from 50 patients with defined critical re-entry sites were analyzed.
- Electrograms were annotated using five methods: LATearliest, LATpeak, LATlatest, LAT-dV/dt, and LATDWOI (steepest unipolar -dV/dt with dynamic window of interest).
- Maps were compared for their ability to identify critical sites using deceleration zones.
Main Results:
- LATlatest, LATearliest, and LATpeak methods identified critical sites in 100% of cases.
- LAT-dV/dt identified critical sites in only 54% of cases, and LATDWOI in 76%.
- LAT-dV/dt inaccurately annotated late potentials (33% correct) due to preferential annotation of far-field signals.
Conclusions:
- LAT-dV/dt and LATDWOI are suboptimal for VT substrate mapping.
- LATlatest is proposed as the gold standard due to its effectiveness in identifying critical sites and suitability for automation.


