TY - JOUR
T1 - Directed Graph Mapping for Ventricular Tachycardia
T2 - A Comparison to Established Mapping Techniques
AU - Hawson, Joshua
AU - Van Nieuwenhuyse, Enid
AU - Van Den Abeele, Robin
AU - Al-kaisey, Ahmed
AU - Anderson, Robert D.
AU - Chieng, David
AU - Segan, Louise
AU - Watts, Troy
AU - Campbell, Timothy
AU - Hendrickx, Sander
AU - Morton, Joseph
AU - McLellan, Alexander
AU - Kistler, Peter
AU - Lee, Adam
AU - Gerstenfeld, Edward P.
AU - Hsia, Henry H.
AU - Voskoboinik, Aleksander
AU - Pathik, Bhupesh
AU - Kumar, Saurabh
AU - Kalman, Jonathan
AU - Lee, Geoffrey
AU - Vandersickel, Nele
N1 - Publisher Copyright:
© 2023 American College of Cardiology Foundation
PY - 2023/7
Y1 - 2023/7
N2 - Background: Understanding underlying mechanism(s) and identifying critical circuit components are fundamental to successful ventricular tachycardia (VT) ablation. Directed graph mapping (DGM) offers a novel technique to identify the mechanism and critical components of a VT circuit. Objectives: This study sought to evaluate the accuracy of DGM in VT ablation compared with traditional mapping techniques and a commercially available automated conduction velocity mapping (ACVM) tool. Methods: Patients with structural heart disease who had undergone a VT ablation with entrainment-proven critical isthmus and a high-density electroanatomical activation map were included. Traditional mapping (TM) consisted of a combination of local activation time and entrainment mapping and was considered the gold standard for determining the VT mechanism, circuit, and isthmus location. The same local activation time values were then processed using DGM and a commercially available ACVM (Coherent Mapping, Biosense Webster) tool. The aim of this study was to compare TM vs DGM and ACVM in their ability to identify the VT mechanism, characterize the VT circuit, and locate the critical isthmus. Results: Thirty-five cases were identified. TM classified the VT mechanism as focal in 7 patients and re-entrant in 28 patients. TM classified 11 VTs as single-loop re-entry, 15 as dual-loop re-entry, 1 as complex, and 1 case was indeterminant. The overall agreement between DGM and TM for determining VT mechanism and circuit type was strong (kappa value = 0.79; P < 0.01), as was the agreement between ACVM and TM (kappa value = 0.66; P < 0.01). Both DGM and ACVM identified the putative VT isthmus in 25 (89%) of the re-entrant cases. Focal activation was correctly identified by both techniques in all cases. Conclusions: DGM is a rapid automated algorithm that has a strong level of agreement with TM for manually re-annotated VT maps.
AB - Background: Understanding underlying mechanism(s) and identifying critical circuit components are fundamental to successful ventricular tachycardia (VT) ablation. Directed graph mapping (DGM) offers a novel technique to identify the mechanism and critical components of a VT circuit. Objectives: This study sought to evaluate the accuracy of DGM in VT ablation compared with traditional mapping techniques and a commercially available automated conduction velocity mapping (ACVM) tool. Methods: Patients with structural heart disease who had undergone a VT ablation with entrainment-proven critical isthmus and a high-density electroanatomical activation map were included. Traditional mapping (TM) consisted of a combination of local activation time and entrainment mapping and was considered the gold standard for determining the VT mechanism, circuit, and isthmus location. The same local activation time values were then processed using DGM and a commercially available ACVM (Coherent Mapping, Biosense Webster) tool. The aim of this study was to compare TM vs DGM and ACVM in their ability to identify the VT mechanism, characterize the VT circuit, and locate the critical isthmus. Results: Thirty-five cases were identified. TM classified the VT mechanism as focal in 7 patients and re-entrant in 28 patients. TM classified 11 VTs as single-loop re-entry, 15 as dual-loop re-entry, 1 as complex, and 1 case was indeterminant. The overall agreement between DGM and TM for determining VT mechanism and circuit type was strong (kappa value = 0.79; P < 0.01), as was the agreement between ACVM and TM (kappa value = 0.66; P < 0.01). Both DGM and ACVM identified the putative VT isthmus in 25 (89%) of the re-entrant cases. Focal activation was correctly identified by both techniques in all cases. Conclusions: DGM is a rapid automated algorithm that has a strong level of agreement with TM for manually re-annotated VT maps.
KW - Coherent Mapping
KW - directed graph mapping
KW - ventricular arrhythmias
KW - ventricular tachycardia
UR - https://www.scopus.com/pages/publications/85156205138
U2 - 10.1016/j.jacep.2022.08.013
DO - 10.1016/j.jacep.2022.08.013
M3 - Article
C2 - 36752465
AN - SCOPUS:85156205138
SN - 2405-500X
VL - 9
SP - 907
EP - 922
JO - JACC: Clinical Electrophysiology
JF - JACC: Clinical Electrophysiology
IS - 7 part 1
ER -