Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| Institute for Robotics and Cognitive Systems, University of Luebeck, Germany | UNKNOWN |
Not provided
Not provided
Not provided
Not provided
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.
This is a prospective, observational, single center, pilot study. Data from preprocedural contrast-enhanced cardiac computed tomography and optically-tracked 3D transthoracic echocardiography of patients receiving catheter ablation for ventricular arrhythmia will be analyzed by means of artificial intelligence in order to better characterize the ventricular arrhythmogenic substrate and to improve the definition methods of the planning target volume during the stereotactic arrhythmia radioablation therapy by integrating the motion data into volume demarcation.
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| VT Patients | Patients with indication for catheter ablation of ventricular arrhythmia and preprocedural contrast-enhanced cardiac computed tomography for cardiac structure characterization. |
Not provided
| Measure | Description | Time Frame |
|---|---|---|
| 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. | 1 month after complete data collection |
| 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 | 1 month after complete data collection |
Not provided
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
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.
Not provided
Not provided
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Klinik für Rhythmologie | Recruiting | Lübeck | Schleswig-Holstein | 23538 | Germany |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D017180 | Tachycardia, Ventricular |
| ID | Term |
|---|---|
| D013610 | Tachycardia |
| D001145 | Arrhythmias, Cardiac |
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
Not provided
Not provided
Not provided
Not provided
Not provided
| D000075224 |
| Cardiac Conduction System Disease |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |