University of Twente Student Theses
Optimalisation of Potential Spatio-temporal Dispersion-based Software for Identification of Drivers from Atrial Fibrillation
Benjamins, Stan (2025) Optimalisation of Potential Spatio-temporal Dispersion-based Software for Identification of Drivers from Atrial Fibrillation.
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| Abstract: | Introduction: Pulmonary vein isolation (PVI) is the cornerstone intervention in atrial fibrillation (AF), particularly for patients with symptomatic, drug-refractory paroxysmal or (longstanding) persistent AF. Nevertheless, the success rate of PVI in patients with persistent AF ranges from 43% to 67%, resulting in many patients continuing to experience AF recurrences. Recent studies have focused on targeting non-PV drivers, such as spatio-temporal dispersions (STDs), detected using intra-atrial electrograms (IAEs) during AF. VX1, an AI-based software, standardizes STD recognition to improve outcomes, though long-term effectiveness remains uncertain due to limited operator experience and short follow-ups. Objective: Evaluate the potential of the novel VX1-software as a standardized approach for optimizing ablation strategies in patients with AF, compared to the patient-specific approach of the electrophysiologist. Conclusion: The VX1-software shows promise in standardizing STD-based IAE identification with strong ML performance and accurate detection of STD-based intra-atrial areas. However, it emphasizes fractionation, high-frequency activation, and voltage asymmetry, while electrophysiologists focus on waveform repetitiveness and activation pattern consistency. Additionally, the VX1-software lacks a patient-specific approach, operating within a generalized framework that does not fully address individual complexities. These findings underscore the need for a more tailored approach that combines the standardization of the VX1-software with the patient-specific insights of the electrophysiologist. |
| Item Type: | Essay (Master) |
| Clients: | Isala Hospital, Zwolle, Netherlands |
| Faculty: | TNW: Science and Technology |
| Subject: | 44 medicine, 50 technical science in general |
| Programme: | Technical Medicine MSc (60033) |
| Link to this item: | https://purl.utwente.nl/essays/105379 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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