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Impact of electrode tip shape on catheter performance in cardiac radiofrequency ablation

  • Argyrios Petras
  • , Zoraida Moreno Weidmann
  • , Marina Echeverría Ferrero
  • , Massimiliano Leoni
  • , Jose M. Guerra
  • , Luca Gerardo-Giorda

Research output: Contribution to journalArticlepeer-review

Abstract

Background The role of catheter tip shape on the safety and efficacy of radiofrequency (RF) ablation has been overlooked, although differences have been observed in clinical and research fields. Objective The purpose of this study was to analyze the role of electrode tip shape in RF ablation using a computational model. Methods We simulated 108 RF ablations through a realistic 3-dimensional computational model considering 2 clinically used, open-irrigated catheters (spherical and cylindrical tip), varying contact force (CF), blood flow, and irrigation. Lesions are defined by the 50°C isotherm contour and evaluated by means of width, depth, depth at maximum width, and volume. Ablations are deemed as safe, critical (tissue temperature >90°C), and pop (tissue temperature >100°C). Results Tissue–electrode contact is less for the spherical tip at low CF but the relationship is inverted at high CF. At low CF, the cylindrical tip generates deeper and wider lesions and a 4-fold larger volume. With increasing CF, the lesions generated by the spherical tip become comparable to those generated by the cylindrical tip. The 2 tips feature different safety profiles: CF and power are the main determinants of pops for the spherical tip; power is the main factor for the cylindrical tip; and CF has a marginal effect. The cylindrical tip is more prone to pop generation at higher powers. Saline irrigation and blood flow effect do not depend on tip shape. Conclusion Tip shape determines the performance of ablation catheters and has a major impact on their safety profile. The cylindrical tip shows more predictable behavior in a wide range of CF values.
Original languageEnglish
Pages (from-to)699-705
Number of pages7
JournalHeart Rhythm O2
Volume3
Issue number6
DOIs
Publication statusPublished - Aug 2022

Fields of science

  • 101 Mathematics
  • 101013 Mathematical logic
  • 101024 Probability theory
  • 102001 Artificial intelligence
  • 102003 Image processing
  • 102019 Machine learning
  • 102035 Data science
  • 603109 Logic
  • 202027 Mechatronics

JKU Focus areas

  • Digital Transformation

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