Changes in atrial fibrillation cycle length (AF-CL) are broadly used as a 'ground truth' to assess the effect of substrate modification during AF ablation. This work sought to optimize thresholds for changes in coronary sinus CL (CS-CL) after local ablation using different atrial electrogram (AEG)-derived markers. 834 AEGs were collected from 11 patients undergoing persAF ablation. CS-CL was measured before and after each ablation point. Five AEG-derived markers were tested as classifiers for CS-CL changes: ICL (Biosense Webster), CFE-Mean (St. Jude Medical), Wave Similarity, Shannon Entropy and AEG-CL. The area under the receiver operating characteristic (AUROC) curve was used to assess the quality of classification for each marker. Maximum AUROC was found at threshold values between 9 and 14 ms in all markers, except for Shannon Entropy. The average AUROC of the five markers reached a maximum of 0.60 at a threshold value of 10 ms. The 10 ms threshold is suggested as a starting setpoint for future studies seeking to identify AF ablation targets based on an objective 'ground truth '.

Optimizing Atrial Electrogram Classification Based on Local Ablation Outcome in Human Atrial Fibrillation / Bezerra, A. S.; Yoneyama, T.; Soriano, D. C.; Luongo, G.; Li, X.; Ravelli, F.; Masè, M.; Chu, G. S.; Stafford, P. J.; Schlindwein, F. S.; Ng, G. A.; Almeida, T. P.. - 2020:(2020). [10.22489/CinC.2020.131]

Optimizing Atrial Electrogram Classification Based on Local Ablation Outcome in Human Atrial Fibrillation

Ravelli F.;Masè M.;
2020-01-01

Abstract

Changes in atrial fibrillation cycle length (AF-CL) are broadly used as a 'ground truth' to assess the effect of substrate modification during AF ablation. This work sought to optimize thresholds for changes in coronary sinus CL (CS-CL) after local ablation using different atrial electrogram (AEG)-derived markers. 834 AEGs were collected from 11 patients undergoing persAF ablation. CS-CL was measured before and after each ablation point. Five AEG-derived markers were tested as classifiers for CS-CL changes: ICL (Biosense Webster), CFE-Mean (St. Jude Medical), Wave Similarity, Shannon Entropy and AEG-CL. The area under the receiver operating characteristic (AUROC) curve was used to assess the quality of classification for each marker. Maximum AUROC was found at threshold values between 9 and 14 ms in all markers, except for Shannon Entropy. The average AUROC of the five markers reached a maximum of 0.60 at a threshold value of 10 ms. The 10 ms threshold is suggested as a starting setpoint for future studies seeking to identify AF ablation targets based on an objective 'ground truth '.
2020
Computing in Cardiology
-
IEEE Computer Society
978-1-7281-7382-5
Bezerra, A. S.; Yoneyama, T.; Soriano, D. C.; Luongo, G.; Li, X.; Ravelli, F.; Masè, M.; Chu, G. S.; Stafford, P. J.; Schlindwein, F. S.; Ng, G. A.; Almeida, T. P.
Optimizing Atrial Electrogram Classification Based on Local Ablation Outcome in Human Atrial Fibrillation / Bezerra, A. S.; Yoneyama, T.; Soriano, D. C.; Luongo, G.; Li, X.; Ravelli, F.; Masè, M.; Chu, G. S.; Stafford, P. J.; Schlindwein, F. S.; Ng, G. A.; Almeida, T. P.. - 2020:(2020). [10.22489/CinC.2020.131]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/294734
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