Literature DB >> 28988690

Impact of number of co-existing rotors and inter-electrode distance on accuracy of rotor localization.

Konstantinos N Aronis1, Hiroshi Ashikaga2.   

Abstract

BACKGROUND: Conflicting evidence exists on the efficacy of focal impulse and rotor modulation on atrial fibrillation ablation. A potential explanation is inaccurate rotor localization from multiple rotors coexistence and a relatively large (9-11mm) inter-electrode distance (IED) of the multi-electrode basket catheter. METHODS AND
RESULTS: We studied a numerical model of cardiac action potential to reproduce one through seven rotors in a two-dimensional lattice. We estimated rotor location using phase singularity, Shannon entropy and dominant frequency. We then spatially downsampled the time series to create IEDs of 2-30mm. The error of rotor localization was measured with reference to the dynamics of phase singularity at the original spatial resolution (IED=1mm). IED has a significant impact on the error using all the methods. When only one rotor is present, the error increases exponentially as a function of IED. At the clinical IED of 10mm, the error is 3.8mm (phase singularity), 3.7mm (dominant frequency), and 11.8mm (Shannon entropy). When there are more than one rotors, the error of rotor localization increases 10-fold. The error based on the phase singularity method at the clinical IED of 10mm ranges from 30.0mm (two rotors) to 96.1mm (five rotors).
CONCLUSIONS: The magnitude of error of rotor localization using a clinically available basket catheter, in the presence of multiple rotors might be high enough to impact the accuracy of targeting during AF ablation. Improvement of catheter design and development of high-density mapping catheters may improve clinical outcomes of FIRM-guided AF ablation.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Atrial fibrillation; Computational model; Mapping; Rotor; Spiral wave

Mesh:

Year:  2017        PMID: 28988690      PMCID: PMC5893460          DOI: 10.1016/j.jelectrocard.2017.08.032

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  45 in total

1.  Structural contributions to fibrillatory rotors in a patient-derived computational model of the atria.

Authors:  Matthew J Gonzales; Kevin P Vincent; Wouter-Jan Rappel; Sanjiv M Narayan; Andrew D McCulloch
Journal:  Europace       Date:  2014-11       Impact factor: 5.214

2.  Stable microreentrant sources as a mechanism of atrial fibrillation in the isolated sheep heart.

Authors:  R Mandapati; A Skanes; J Chen; O Berenfeld; J Jalife
Journal:  Circulation       Date:  2000-01-18       Impact factor: 29.690

3.  Direct Proof of Endo-Epicardial Asynchrony of the Atrial Wall During Atrial Fibrillation in Humans.

Authors:  Natasja de Groot; Lisette van der Does; Ameeta Yaksh; Eva Lanters; Christophe Teuwen; Paul Knops; Pieter van de Woestijne; Jos Bekkers; Charles Kik; Ad Bogers; Maurits Allessie
Journal:  Circ Arrhythm Electrophysiol       Date:  2016-05

4.  Small size ionic heterogeneities in the human heart can attract rotors.

Authors:  Arne Defauw; Nele Vandersickel; Peter Dawyndt; Alexander V Panfilov
Journal:  Am J Physiol Heart Circ Physiol       Date:  2014-09-12       Impact factor: 4.733

5.  An experimental study of propagated electrical activity in the canine heart.

Authors:  C R Vander Ark; E W Reynolds
Journal:  Circ Res       Date:  1970-04       Impact factor: 17.367

6.  Effects of inter-electrode spacing on complex fractionated atrial electrograms and dominant frequency detection.

Authors:  Koichi Nagashima; Yasuo Okumura; Ichiro Watanabe; Toshiko Nakai; Kimie Ohkubo; Tatsuya Kofune; Masayoshi Kofune; Hiroaki Mano; Kazumasa Sonoda; Atsushi Hirayama
Journal:  J Interv Card Electrophysiol       Date:  2012-01-11       Impact factor: 1.900

7.  Focal impulse and rotor modulation as a stand-alone procedure for the treatment of paroxysmal atrial fibrillation: A within-patient controlled study with implanted cardiac monitoring.

Authors:  Rolf Franck Berntsen; Trine Fink Håland; Rita Skårdal; Torbjørn Holm
Journal:  Heart Rhythm       Date:  2016-04-27       Impact factor: 6.343

8.  Lack of regional association between atrial late gadolinium enhancement on cardiac magnetic resonance and atrial fibrillation rotors.

Authors:  Jonathan Chrispin; Esra Gucuk Ipek; Sohail Zahid; Adityo Prakosa; Mohammadali Habibi; David Spragg; Joseph E Marine; Hiroshi Ashikaga; John Rickard; Natalia A Trayanova; Stefan L Zimmerman; Vadim Zipunnikov; Ronald D Berger; Hugh Calkins; Saman Nazarian
Journal:  Heart Rhythm       Date:  2015-11-10       Impact factor: 6.343

9.  Bipolar electrogram shannon entropy at sites of rotational activation: implications for ablation of atrial fibrillation.

Authors:  Anand N Ganesan; Pawel Kuklik; Dennis H Lau; Anthony G Brooks; Mathias Baumert; Wei Wen Lim; Shivshankar Thanigaimani; Sachin Nayyar; Rajiv Mahajan; Jonathan M Kalman; Kurt C Roberts-Thomson; Prashanthan Sanders
Journal:  Circ Arrhythm Electrophysiol       Date:  2012-12-23

10.  Acute termination of human atrial fibrillation by identification and catheter ablation of localized rotors and sources: first multicenter experience of focal impulse and rotor modulation (FIRM) ablation.

Authors:  Kalyanam Shivkumar; Kenneth A Ellenbogen; John D Hummel; John M Miller; Jonathan S Steinberg
Journal:  J Cardiovasc Electrophysiol       Date:  2012-11-06
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  5 in total

1.  Scale-invariant structures of spiral waves.

Authors:  Daniel Sohn; Konstantinos Aronis; Hiroshi Ashikaga
Journal:  Comput Biol Med       Date:  2018-11-14       Impact factor: 4.589

Review 2.  Innovations in Clinical Cardiac Electrophysiology: Challenges and Upcoming Solutions in 2018 and Beyond.

Authors:  Vaibhav R Vaidya; Alan Sugure; Samuel J Asirvatham
Journal:  J Innov Card Rhythm Manag       Date:  2017-12-15

Review 3.  Challenges Associated with Interpreting Mechanisms of AF.

Authors:  Caroline H Roney; Andrew L Wit; Nicholas S Peters
Journal:  Arrhythm Electrophysiol Rev       Date:  2020-02-12

4.  Entropy Mapping Approach for Functional Reentry Detection in Atrial Fibrillation: An In-Silico Study.

Authors:  Juan P Ugarte; Catalina Tobón; Andrés Orozco-Duque
Journal:  Entropy (Basel)       Date:  2019-02-18       Impact factor: 2.524

Review 5.  Analytical approaches for myocardial fibrillation signals.

Authors:  Balvinder S Handa; Caroline H Roney; Charles Houston; Norman A Qureshi; Xinyang Li; David S Pitcher; Rasheda A Chowdhury; Phang Boon Lim; Emmanuel Dupont; Steven A Niederer; Chris D Cantwell; Nicholas S Peters; Fu Siong Ng
Journal:  Comput Biol Med       Date:  2018-07-17       Impact factor: 4.589

  5 in total

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