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Accuracy of automatic abnormal potential annotation for substrate identification in scar-related ventricular tachycardia
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  • Yosuke Nakatani,
  • Philippe Maury,
  • Anne Rollin,
  • F. Daniel Ramirez,
  • Cyril Goujeau,
  • Takashi Nakashima ,
  • Clémentine André,
  • Aline Carapezzi,
  • Philipp Krisai,
  • Takamitsu Takagi,
  • Tsukasa Kamakura,
  • Konstantinos Vlachos,
  • Ghassen Cheniti,
  • Romain Tixier,
  • Quentin Voglimacci-Stefanopoli,
  • Nicolas Welte,
  • Remi Chauvel,
  • Josselin Duchateau,
  • Thomas Pambrun,
  • Nicolas Derval,
  • Mélèze Hocini,
  • Michel Haissaguerre,
  • Pierre Jais,
  • Frederic Sacher
Yosuke Nakatani
University of Toyama
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Philippe Maury
University Hospital Rangueil
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Anne Rollin
University Hospital Rangueil
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F. Daniel Ramirez
Centre Hospitalier Universitaire de Bordeaux Hopital Cardiologique
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Cyril Goujeau
, Service de Rhythmologie, Hôpital Cardiologique du Haut-Lévêque (Centre Hospitalier Universtaire de Bordeaux)
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Takashi Nakashima
1. Electrophysiology and Ablation Unit and L’Institut de rythmologie et modélisation cardiaque (LIRYC)
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Clémentine André
CHU Trousseau
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Aline Carapezzi
Boston scientific
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Philipp Krisai
University of Bordeaux
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Takamitsu Takagi
Yokosuka Kyosai Hospital
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Tsukasa Kamakura
National Cerebral and Cardiovascular Center
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Konstantinos Vlachos
Evangelismos General Hospital of Athens
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Ghassen Cheniti
Hôpital Cardiologique du Haut Lévêque
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Romain Tixier
Centre Hospitalier Universitaire de Bordeaux
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Quentin Voglimacci-Stefanopoli
University Hospital Rangueil, Toulouse
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Nicolas Welte
Centre Hospitalier Universitaire de Bordeaux Hôpital Haut-Lévêque
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Remi Chauvel
Hôpital Cardiologique du Haut-Lévêque (Centre Hospitalier Universtaire de Bordeaux)
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Josselin Duchateau
Centre Hospitalier Universitaire de Bordeaux
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Thomas Pambrun
Hopital du Haut Leveque/LIRYC, Bordeaux
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Nicolas Derval
Hopital cardiologique du haut-leveque
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Mélèze Hocini
Hôpital Cardiologique du Haut-Lévèque
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Michel Haissaguerre
Hopital Cardiologique du Haut-Leveque
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Pierre Jais
Centre Hospitalier Universitaire de Bordeaux
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Frederic Sacher
Bordeaux University Hospital
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Abstract

Introduction: Ultra-high-density mapping for ventricular tachycardia (VT) is increasingly used. However, manual annotation of local abnormal ventricular activities (LAVAs) is challenging in this setting. Therefore, we assessed the accuracy of the automatic annotation of LAVAs with the Lumipoint algorithm of the Rhythmia system (Boston Scientific). Methods and Results: One hundred consecutive patients undergoing catheter ablation of scar-related VT were studied. Areas with LAVAs and ablation sites were manually annotated during the procedure and compared with automatically annotated areas using the Lumipoint features for detecting late potentials (LP), fragmented potentials (FP), and double potentials (DP). The accuracy of each automatic annotation feature was assessed by re-evaluating local potentials within automatically annotated areas. Automatically annotated areas matched with manually annotated areas in 64 cases (64%), identified an area with LAVAs missed during manual annotation in 15 cases (15%), and did not highlight areas identified with manual annotation in 18 cases (18%). Automatic FP annotation accurately detected LAVAs regardless of the cardiac rhythm or scar location; automatic LP annotation accurately detected LAVAs in sinus rhythm, but was affected by the scar location during ventricular pacing; automatic DP annotation was not affected by the mapping rhythm, but its accuracy was suboptimal when the scar was located on the right ventricle or epicardium. Conclusion: The Lumipoint algorithm was as/more accurate than manual annotation in 79% of patients. FP annotation detected LAVAs most accurately regardless of mapping rhythm and scar location. The accuracy of LP and DP annotations varied depending on mapping rhythm or scar location.

Peer review status:ACCEPTED

22 Feb 2021Submitted to Journal of Cardiovascular Electrophysiology
25 Feb 2021Submission Checks Completed
25 Feb 2021Assigned to Editor
27 Feb 2021Reviewer(s) Assigned
21 Mar 2021Review(s) Completed, Editorial Evaluation Pending
22 Mar 2021Editorial Decision: Revise Minor
24 Apr 20211st Revision Received
28 Apr 2021Submission Checks Completed
28 Apr 2021Assigned to Editor
28 Apr 2021Reviewer(s) Assigned
30 May 2021Review(s) Completed, Editorial Evaluation Pending
01 Jun 2021Editorial Decision: Accept