Literature DB >> 17675074

Automated detection and characterization of complex fractionated atrial electrograms in human left atrium during atrial fibrillation.

Daniel Scherr1, Darshan Dalal, Aamir Cheema, Alan Cheng, Charles A Henrikson, David Spragg, Joseph E Marine, Ronald D Berger, Hugh Calkins, Jun Dong.   

Abstract

BACKGROUND: Complex fractionated atrial electrograms (CFAEs) have been reported as ablative targets for the treatment of atrial fibrillation (AF). However, the process of CFAE identification is highly dependent on the operator's judgment.
OBJECTIVE: It is the aim of the study to report our initial experience with a novel software algorithm designed to automatically detect CFAEs.
METHODS: Nineteen patients (6 female, 58 +/- 8 years) who underwent catheter ablation of paroxysmal (n = 11) or persistent (n = 8) AF were included in the study. During ongoing AF, 100 +/- 15 left atrial (LA) endocardial locations were sampled under the guidance of integrated electroanatomical mapping with computed tomographic images. Bipolar electrograms recorded throughout the LA were analyzed using custom software that allows for automated detection of CFAEs. Interval confidence level (ICL), defined as the number of intervals between consecutive CFAE complexes during 2.5-second recordings, was used to characterize CFAEs. The CFAE sites with an ICL >/=5 were considered as sites with highly repetitive CFAEs, which are thought to be potential ablation targets. For purposes of analysis, the LA was divided into 6 areas: pulmonary vein (PV) ostia, posterior wall, interatrial septum, roof, mitral annulus area, and appendage.
RESULTS: Among a total of 1,904 LA locations sampled in 19 patients, 1,644 (86%) were categorized as CFAE sites, whereas 260 (14%) were categorized as as non-CFAE sites. Thirty-four percent of all CFAE sites were identified as sites with highly repetitive CFAEs. Of these, 24% were located at the interatrial septum, 22% on the posterior wall, 20% at the PV ostia, 18% at the mitral annulus area, 14% on the roof, and 2.7% at the LA appendage. In all patients, highly repetitive CFAE sites were distributed in 4 or more areas of the LA. Persistent AF patients had more highly repetitive CFAE sites on the posterior wall than paroxysmal AF patients (30% +/- 7.3% vs 14% +/- 8.2%, P < .001). There was a strong trend toward more highly repetitive CFAE sites located at the PV ostia in patients with paroxysmal AF compared with persistent AF patients (24% +/- 13% vs 13% +/- 7.7%, P = .05).
CONCLUSION: With the use of custom software, CFAE complexes were identified in more than 80% of the LA endocardial locations. LA sites with highly repetitive CFAE sites were located predominately in the septum, posterior wall, and PV ostia. Patients with persistent AF had a different anatomical distribution pattern of highly repetitive CFAE sites from those with paroxysmal AF, with a greater prevalence of highly repetitive CFAEs located on the posterior wall. Further studies are warranted to determine the clinical significance of these findings.

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Year:  2007        PMID: 17675074     DOI: 10.1016/j.hrthm.2007.04.021

Source DB:  PubMed          Journal:  Heart Rhythm        ISSN: 1547-5271            Impact factor:   6.343


  26 in total

Review 1.  State-of-the-art and emerging technologies for atrial fibrillation ablation.

Authors:  Jane Dewire; Hugh Calkins
Journal:  Nat Rev Cardiol       Date:  2010-03       Impact factor: 32.419

Review 2.  Stretch and Inflammation- Their Relation to Fractionation of Electrograms in Atrial Fibrillation.

Authors:  Uma Srivatsa; Mary Chavez Cvt; Sankar Krishnamurthy; L I Zhongmin; Hong Qiu; Nipavan Chiamvimonvat
Journal:  J Atr Fibrillation       Date:  2011-12-20

3.  Automated Detection of Complex Fractionated Atrial Electrograms In Substrate-Based Atrial Fibrillation Ablation: Better Discrimination with a New Setting of CARTO® Algorithm.

Authors:  Julien Seitz; Jérôme Horvilleur; Jérôme Lacotte; Yamina Mouhoub; Fiorella Salerno; Anouska Moynagh; Darach O H-Ici; Mehran Monchi; Laurence Curel; Andre Pisapia
Journal:  J Atr Fibrillation       Date:  2013-08-31

Review 4.  Catheter Ablation Targeting Complex Fractionated Atrial Electrogram in Atrial Fibrillation.

Authors:  Dennis H Lau; Stef Zeemering; Bart Maesen; Pawel Kuklik; Sander Verheule; Ulrich Schotten
Journal:  J Atr Fibrillation       Date:  2013-10-31

5.  Autonomic modulation of complex fractionated atrial electrograms in patients with paroxysmal atrial fibrillation.

Authors:  Demosthenes Katritsis; Demetrios Sougiannis; Kimon Batsikas; Eleftherios Giazitzoglou; John Mersinias; George Katritsis; Sunny S Po
Journal:  J Interv Card Electrophysiol       Date:  2011-03-19       Impact factor: 1.900

Review 6.  Advanced mapping techniques in atrial fibrillation.

Authors:  Lars Lickfett; Jörg O Schwab; Thorsten Lewalter
Journal:  J Interv Card Electrophysiol       Date:  2008-04-02       Impact factor: 1.900

7.  Panoramic electrophysiological mapping but not electrogram morphology identifies stable sources for human atrial fibrillation: stable atrial fibrillation rotors and focal sources relate poorly to fractionated electrograms.

Authors:  Sanjiv M Narayan; Kalyanam Shivkumar; David E Krummen; John M Miller; Wouter-Jan Rappel
Journal:  Circ Arrhythm Electrophysiol       Date:  2013-02-07

8.  Impact of pre-existent areas of complex fractionated atrial electrograms on outcome after pulmonary vein isolation.

Authors:  Giovanni B Forleo; Massimo Mantica; Lucia De Luca; Antonio Dello Russo; Michela Casella; Luca Santini; Gemma Pelargonio; Francesco Romeo; Claudio Tondo
Journal:  J Interv Card Electrophysiol       Date:  2008-03-07       Impact factor: 1.900

9.  Genesis of complex fractionated atrial electrograms in zones of slow conduction: a computer model of microfibrosis.

Authors:  Vincent Jacquemet; Craig S Henriquez
Journal:  Heart Rhythm       Date:  2009-02-24       Impact factor: 6.343

10.  Mechanisms of Atrial Fibrillation - Reentry, Rotors and Reality.

Authors:  Jonathan W Waks; Mark E Josephson
Journal:  Arrhythm Electrophysiol Rev       Date:  2014-08-30
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