Arrhythmias & electrophysiology
Feasibility of three-dimensional artificial intelligence algorithm integration with intracardiac echocardiography for left atrial imaging during atrial fibrillation catheter ablation
Authors' conclusion
DL algorithm integration with ICE demonstrated considerable accuracy compared to CT and qualitative physician assessment.
Study context
- Population
- Patients undergoing atrial fibrillation (AF) ablation
- Participants
- 28 patients
- Comparison
- Deep learning (DL) algorithm with intracardiac echocardiography (ICE) vs cardiac computed tomography (CT)
- Outcome
- Feasibility/anatomical accuracy of the algorithm vs CT (LA ostial diameters, carina-to-carina distance)
Main finding
As reported in the abstract
LA ostial diameters and carina-to-carina distance vs CT
Moderate to high correlation with CT, except RIPV
r = 0.52-0.75
RIPV correlation
r = 0.20
Average calculation time for left atrial (LA) reconstruction
65 s
Further findings
Procedural characteristics
- Average procedure time
- 143.7 ± 43.7 min
- Average radiofrequency time
- 31.6 ± 10.2 min
- All patients achieved ablation success
Safety
- No immediate complications observed
Original publication
Feasibility of three-dimensional artificial intelligence algorithm integration with intracardiac echocardiography for left atrial imaging during atrial fibrillation catheter ablation. Europace. Published 21 July 2023. doi:10. 1093/ europace/ euad211
Summarised from the published abstract; every number is checked against it