Echocardiography-based Motion Integration and Management for Substrate Characterization and STAR Therapy in Ventricular Tachycardias

Study Overview
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Brief Summary
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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.

Detailed Description
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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.

Official Title
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New 3D-echocardiography-based Motion Integration and mAnagement for subsTrate characteRisation and Stereotactic Arrhythmia radIoablation tX in Ventricular Tachycardias- the MATRIX-VT Study

Conditions
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Ventricular Arrythmia

Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: 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 Exclusion Criteria: Platelet count < 100,000 cells/mm3 BMI > 45 kg/m2 or < 18 kg/m2

Ages Eligible for Study
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Minimum Age: 18 Years
Maximum Age: 100 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| VT Patients<br>Patients with indication for catheter ablation of ventricular arrhythmia and preprocedural contrast-enhanced cardiac computed tomography for cardiac structure characterization. | |

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | 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 | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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Ventricular arrhythmia, Ventricular tachycardia, Stereotactic arrhythmia radioablation, Artificial intelligence, Motion management, Motion integration