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Virtual Catheter Ablation of Target Areas Identified from Image-Based Models of Atrial Fibrillation

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Functional Imaging and Modeling of the Heart (FIMH 2019)

Abstract

Catheter Ablation (CA) is an effective strategy for rhythm control in atrial fibrillation (AF) patients. However, success rate remains suboptimal in chronic AF patients, where targets for optimal ablation are unknown. Recent clinical evidence suggests an association of atrial fibrosis with locations of re-entrant drivers (RDs) sustaining AF. However, the knowledge of optimal ablation locations based on patient-specific fibrosis distribution is lacking. The aim of this study is to provide a proof-of-concept method to (1) predict patient-specific ablation targets from 3D models of fibrotic atria and (2) perform virtual ablation.

Left atrial (LA) geometry and fibrosis distribution of a persistent AF patient was obtained from MR imaging data. AF simulations were performed by initiating RDs at 12 different locations in the LA model. The tip of the meandering RDs was tracked in all simulations to identify atrial wall regions with the highest probability of harbouring RDs – target areas (TAs). Finally, virtual ablation was performed based on the knowledge of TAs to identify strategies that eliminate RDs.

Our simulations showed that the TAs are typically located at specific regions within the fibrotic patches where RDs stabilize. Ablation strategies that connect these TAs to the nearest pulmonary vein (PV) or the mitral valve can both terminate the existing RD and reduce the inducibility of new RDs, thus preventing AF.

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References

  1. Calkins, H., et al.: 2017 HRS/EHRA/ECAS/APHRS/SOLAECE expert consensus statement on catheter and surgical ablation of atrial fibrillation. Hear. Rhythm. 14(10), e275–e444 (2017). https://doi.org/10.1016/J.HRTHM.2017.05.012

    Article  Google Scholar 

  2. Cochet, H., et al.: Relationship between fibrosis detected on late gadolinium-enhanced cardiac magnetic resonance and re-entrant activity assessed with electrocardiographic imaging in human persistent atrial fibrillation. JACC Clin. Electrophysiol. 4(1), 17–29 (2018). https://doi.org/10.1016/j.jacep.2017.07.019

    Article  Google Scholar 

  3. Colman, M.A., et al.: Evolution and pharmacological modulation of the arrhythmogenic wave dynamics in canine pulmonary vein model. Europace 16(3), 416–423 (2014)

    Article  Google Scholar 

  4. Fenton, F., et al.: Vortex dynamics in three-dimensional continuous myocardium with fiber rotation: Filament instability and fibrillation. Chaos An Interdiscip. J. Nonlinear Sci. 8, 20–47 (1998). https://doi.org/10.1063/1.166311. May 2016

    Article  MATH  Google Scholar 

  5. Fukumoto, K., et al.: Association of left atrial local conduction velocity with late gadolinium enhancement on cardiac magnetic resonance in patients with atrial fibrillation. Circ. Arrhythmia Electrophysiol. 9(3), e002897 (2016)

    Article  Google Scholar 

  6. Gaita, F., et al.: Long-term clinical results of 2 different ablation strategies in patients with paroxysmal and persistent atrial fibrillation. Circ. Arrhythmia Electrophysiol. 1(4), 269–275 (2008). https://doi.org/10.1161/CIRCEP.108.774885

    Article  Google Scholar 

  7. Goodman, A.M., et al.: A membrane model of electrically remodelled atrial myocardium derived from in vivo measurements. Europace 7(Suppl. 2), 135–145 (2005)

    Article  Google Scholar 

  8. Hocini, M., et al.: Techniques for curative treatment of atrial fibrillation. J. Cardiovasc. Electrophysiol. 15(12), 1467–1471 (2004)

    Article  Google Scholar 

  9. Jadidi, A.S., et al.: Ablation of persistent atrial fibrillation targeting low-voltage areas with selective activation characteristics. Circ. Arrhythmia Electrophysiol. 9(3), e002962 (2016). https://doi.org/10.1161/CIRCEP.115.002962

    Article  Google Scholar 

  10. Kanagaratnam, L., et al.: Empirical pulmonary vein isolation in patients with chronic atrial fibrillation using a three-dimensional nonfluoroscopic mapping system: long-term follow-up. Pacing Clin. Electrophysiol. 24(12), 1774–1779 (2001)

    Article  Google Scholar 

  11. Kottkamp, H., et al.: Box isolation of fibrotic areas (BIFA): a patient-tailored substrate modification approach for ablation of atrial fibrillation. J. Cardiovasc. Electrophysiol. 27(1), 22–30 (2016). https://doi.org/10.1111/jce.12870

    Article  Google Scholar 

  12. Marrouche, N.F., et al.: Association of atrial tissue fibrosis identified by delayed enhancement MRI and atrial fibrillation catheter ablation: the DECAAF study. JAMA, J. Am. Med. Assoc. 311(5), 498–506 (2014). https://doi.org/10.1001/jama.2014.3

    Article  Google Scholar 

  13. Morgan, R., et al.: Slow conduction in the border zones of patchy fibrosis stabilizes the drivers for atrial fibrillation: insights from multi-scale human atrial modeling. Front. Physiol. 7, 1–15 (2016). https://doi.org/10.3389/fphys.2016.00474

    Article  Google Scholar 

  14. Nattel, S.: New ideas about atrial fibrillation 50 years on. Nature 415(6868), 219–226 (2002). https://doi.org/10.1038/415219a

    Article  Google Scholar 

  15. Okamura, T., et al.: Diagnosis of cochleovestibular neurovascular compression syndrome: a scoring system based on five clinical characteristics. Neurol. Surg. 45(2), 117–125 (2017). https://doi.org/10.1001/jama.2014.3

    Article  Google Scholar 

  16. Oral, H., et al.: Pulmonary vein isolation for paroxysmal and persistent atrial fibrillation. Circulation 105(9), 1077–1081 (2002). https://doi.org/10.1161/hc0902.104712

    Article  Google Scholar 

  17. Roy, A., et al.: Image-based computational evaluation of the effects of atrial wall thickness and fibrosis on re-entrant drivers for atrial fibrillation. Front. Physiol. 9, 1352 (2018). https://doi.org/10.3389/fphys.2018.01352

    Article  Google Scholar 

  18. Varela, M., et al.: Atrial heterogeneity generates re-entrant substrate during atrial fibrillation and anti-arrhythmic drug action: mechanistic insights from canine atrial models. PLoS Comput. Biol. 12(12), e1005245 (2016)

    Article  Google Scholar 

  19. Zahid, S., et al.: Patient-derived models link re-entrant driver localization in atrial fibrillation to fibrosis spatial pattern. Cardiovasc. Res. 110(3), 443–454 (2016)

    Article  Google Scholar 

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Acknowledgements

This work was supported by the British Heart Foundation [PG/15/8/31138], the EPSRC [EP/L015226/1, EP/R511559/1] and the Wellcome Trust/EPSRC Centre for Medical Engineering [WT 203148/Z/16/Z].

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Correspondence to Aditi Roy .

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Roy, A. et al. (2019). Virtual Catheter Ablation of Target Areas Identified from Image-Based Models of Atrial Fibrillation. In: Coudière, Y., Ozenne, V., Vigmond, E., Zemzemi, N. (eds) Functional Imaging and Modeling of the Heart. FIMH 2019. Lecture Notes in Computer Science(), vol 11504. Springer, Cham. https://doi.org/10.1007/978-3-030-21949-9_2

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  • DOI: https://doi.org/10.1007/978-3-030-21949-9_2

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  • Online ISBN: 978-3-030-21949-9

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