Effect of the electrograms density in detecting and ablating the tip of the rotor during chronic atrial fibrillation: an in silico study

Europace. 2015 Oct:17 Suppl 2:ii97-104. doi: 10.1093/europace/euv244.

Abstract

Aims: Identification in situ of arrhythmogenic mechanisms could improve the rate of ablation success in atrial fibrillation (AF). Our research group reported that rotors could be located through dynamic approximate entropy (DApEn) maps. However, it is unknown how much the spatial resolution of catheter electrodes could affect substrates localization. The present work looked for assessing the electrograms (EGMs) spatial resolution needed to locate the rotor tip using DApEn maps.

Methods and results: A stable rotor in a two-dimensional computational model of human atrial tissue was simulated using the Courtemanche electrophysiological model and implementing chronic AF features. The spatial resolution is 0.4 mm (150 × 150 EGM). Six different lower resolution arrays were obtained from the initial mesh. For each array, DApEn maps were constructed using the inverse distance weighting (IDW) algorithm. Three simple ablation patterns were applied. The full DApEn map detected the rotor tip and was able to follow the small meander of the tip through the shape of the area containing the tip. Inverse distance weighting was able to reconstruct DApEn maps after applying different spatial resolutions. These results show that spatial resolutions from 0.4 to 4 mm accurately detect the rotor tip position. An ablation line terminates the rotor only if it crosses the tip and ends at a tissue boundary.

Conclusion: A previous work has shown that DApEn maps successfully detected simulated rotor tips using a high spatial resolution. In this work, it was evinced that DApEn maps could be applied using a spatial resolution similar to that available in commercial catheters, by adding an interpolation stage. This is the first step to translate this tool into medical practice with a view to the detection of ablation targets.

Keywords: Ablation; Atrial fibrillation; Computer model; Dynamic approximate entropy map; Rotor tip.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Atrial Fibrillation / diagnosis
  • Atrial Fibrillation / physiopathology*
  • Atrial Fibrillation / surgery*
  • Body Surface Potential Mapping / methods*
  • Catheter Ablation / methods
  • Chronic Disease
  • Computer Simulation
  • Female
  • Heart Atria / physiopathology
  • Heart Conduction System / physiopathology
  • Heart Conduction System / surgery
  • Humans
  • Male
  • Models, Cardiovascular*
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Surgery, Computer-Assisted / methods*
  • Treatment Outcome