Atrial fibrillation (AF) is the most common heart rhythm disorder and affects 2.3 million Americans, accounting for frequent health care utilization, increased hospitalizations and increased risks of stroke, heart failure and mortality. Evidence suggests that ectopic beats from the pulmonary veins may trigger AF, a finding that has led to development of the non-pharmacological therapy called pulmonary vein (PV) isolation, which uses radiofrequency energy to cauterize the atrial tissue in the PV's atrium in order to terminate AF and restore sinus rhythm. Unfortunately, this therapy remains suboptimal, with long-term success rates of only 40% to 60%. The main reason for such unsuccessful outcomes is that it fails to eliminate AF drivers outside the pulmonary veins (PVs), and their targeted elimination is key to improving outcomes after AF ablation. Sustained rotor-like activities (RotAs) outside PVs have been shown to be relevant to the sustaining mechanism and perpetuation of AF and should be targeted for AF ablation. However, there is no well-defined algorithm for localization of RotAs using a conventional Multi-Polar Diagnostic Catheter (MPDC). Thus, the development of such an algorithm will play a significant role in the successful detection and ablation of AF drivers outside the PVs and in increasing the success of AF termination procedures. Our objective in this project is to dramatically improve detection of RotAs by combining MPDC with a mathematical, model-based catheter-guidance algorithm to locate RotAs. Based on our preliminary observations of RotAs in human AF, it is expected that using a catheter-guidance algorithm, as will be developed in the proposed study, will significantly increase successful localization of RotAs. Our research will proceed according to the following specific aims: (1) Develop a library of simulated AF datasets with RotAs and (2) Design a catheter-guidance algorithm to direct an MPDC towards RotAs. We will develop a novel catheter-guidance algorithm and validate its performance through simulation of clinically-oriented variations such as noise, poor contact, and cardiac motion, as well as complex models of cardiac cellular electrophysiology, atrial geometry remodeling, and fibrosis. Clinically, the proposed interdisciplinary collaboration should develop a novel, low-risk and low-cost algorithm add-on allowing improved and patient-specific localization of AF perpetuation sites, which cannot currently be achieved. This would significantly improve the success of AF ablation at first attempt and facilitate treating patients before progression of AF to the permanent stage. It would also significantly reduce the unnecessary ablation sites that destroy healthy endocardium and may result in future complications for patients, and thus enhance the health of millions of patients afflicted by this debilitating rhythm disorder so that they can live longer and more fulfilling lives.

Public Health Relevance

The proposed work is relevant to public health in that it will contribute to the development of a novel, low-risk and low-cost algorithm add-on allowing improved and patient-specific identification of atrial fibrillation (AF) ablation targets. It wouldalso significantly improve the success of AF ablation and reduce the unnecessary ablation sites that destroy healthy cardiac tissue. As a result, both the safety and outcomes of costly ablation procedures will be improved considerably for the millions of patients afflicted by this debilitatin rhythm disorder.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Academic Research Enhancement Awards (AREA) (R15)
Project #
1R15HL127663-01
Application #
8878714
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Lathrop, David A
Project Start
2015-04-01
Project End
2018-03-31
Budget Start
2015-04-01
Budget End
2018-03-31
Support Year
1
Fiscal Year
2015
Total Cost
Indirect Cost
Name
Rochester Institute of Technology
Department
Biomedical Engineering
Type
Biomed Engr/Col Engr/Engr Sta
DUNS #
002223642
City
Rochester
State
NY
Country
United States
Zip Code
14623
Ganesan, Prasanth; Shillieto, Kristina E; Ghoraani, Behnaz (2017) Simulation of Spiral Waves and Point Sources in Atrial Fibrillation with Application to Rotor Localization. Proc IEEE Int Symp Comput Based Med Syst 2017:379-384
Shillieto, Kristina E; Ganesan, Prasanth; Salmin, Anthony J et al. (2016) Catheter simulator software tool to generate electrograms of any multi-polar diagnostic catheter from 3D atrial tissue. Conf Proc IEEE Eng Med Biol Soc 2016:2741-2744
Ganesan, Prasanth; Salmin, Anthony; Cherry, Elizabeth M et al. (2016) Development of a novel probabilistic algorithm for localization of rotors during atrial fibrillation. Conf Proc IEEE Eng Med Biol Soc 2016:493-496
Salmin, Anthony J; Ganesan, Prasanth; Shillieto, Kristina E et al. (2016) A novel catheter-guidance algorithm for localization of atrial fibrillation rotor and focal sources. Conf Proc IEEE Eng Med Biol Soc 2016:501-504
Ganesan, Prasanth; Cherry, Elizabeth M; Pertsov, Arkady M et al. (2015) Characterization of Electrograms from Multipolar Diagnostic Catheters during Atrial Fibrillation. Biomed Res Int 2015:272954