Impact of augmented-reality improvement in ablation catheter navigation as assessed by virtual-heart simulations of ventricular tachycardia ablation

Adityo Prakosa, Michael K. Southworth, Jennifer N. Avari Silva, Jonathan R. Silva, Natalia A. Trayanova

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Background: Recently, an augmented reality (AR) solution allows the physician to place the ablation catheter at the designated lesion site more accurately during cardiac electrophysiology studies. The improvement in navigation accuracy may positively affect ventricular tachycardia (VT) ablation termination, however assessment of this in the clinic would be difficult. Novel personalized virtual heart technology enables non-invasive identification of optimal lesion targets for infarct-related VT. This study aims to evaluate the potential impact of such catheter navigation accuracy improvement in virtual VT ablations. Methods: 2 MRI-based virtual hearts with 2 in silico induced VTs (VT 1, VT 2) were included. VTs were terminated with virtual “ground truth” endocardial ablation lesions. 106 navigation error values that were previously assessed in a clinical study evaluating the improvement of ablation catheter navigation accuracy guided with AR (53 with, 53 without) were used to displace the “ground truth” ablation targets. The corresponding ablations were simulated based on these errors and VT termination for each simulation was assessed. Results: In 54 VT 1 ablation simulations, smaller error with AR significantly resulted in more VT termination (25) compared to the error without AR (16) (P < 0.01). In 52 VT 2 ablation simulations, no significant difference was observed from error with (11) and without AR (13) (P = 0.58). The substrate characteristic may impact the effect of improved accuracy to an improved VT termination. Conclusion: Virtual heart shows that the increased catheter navigation accuracy provided by AR guidance can affect the VT termination.

Original languageEnglish
Article number104366
JournalComputers in Biology and Medicine
Volume133
DOIs
StatePublished - Jun 2021

Keywords

  • Ablation
  • Augmented reality
  • Computer simulation
  • Ventricular tachycardia

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