Prospective, observational, single center, pilot study to analyze the feasibility of motion and structural data integration in patients with ventricular arrhythmia by means of artificial intelligence for improved arrhythmogenic substrate characterization and motion management during stereotactic arrhythmia radioablation.
Age ≥ 18 years
Indication for catheter ablation of ventricular arrhythmias (ventricular fibrillation, ventricular tachycardia, premature ventricular contractions)
Indication for preprocedural contrast-enhanced cardiac computed tomography for cardiac structure characterization
Platelet count < 100,000 cells/mm3
BMI > 45 kg/m2 or < 18 kg/m2
A total of 20 patients with indication for catheter ablation of ventricular arrhythmia (VA) (ventricular tachycardia (VT), ventricular fibrillation (VF), premature ventricular contraction (PVC)) and for preprocedural contract-enhanced cardiac computed tomography (CT) for cardiac structure characterization will be prospectively enrolled in the study. The therapeutic approach follows the current clinical standard.
Case-only
Prospective
Not listed
Feasibility of algorithm training to achieve improved arrhythmogenic substrate characterization
The feasibility of training the artificial intelligence-based algorithm using the preprocedural contrast-enhanced cardiac computed tomography and optically-tracked 3D transthoracic echocardiography data to better define the ventricular arrhythmogenic substrate in patients exhibiting ventricular arrhythmias.
Feasibility of algorithm training to improve the planning target volume definition for stereotactic arrhythmia radioablation therapy
The feasibility of training the artificial intelligence-based algorithm using the preprocedural contrast-enhanced cardiac computed tomography and optically-tracked 3D transthoracic echocardiography data to better define the planning target volume for stereotactic arrhythmia radioablation therapy
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University of Luebeck
Lead sponsor
Institute for Robotics and Cognitive Systems, University of Luebeck, Germany
Collaborator
