Echocardiography-based Motion Integration and Management for Substrate Characterization and STAR Therapy in Ventricular Tachycardias
MATRIX-VT
New 3D-echocardiography-based Motion Integration and mAnagement for subsTrate characteRisation and Stereotactic Arrhythmia radIoablation tX in Ventricular Tachycardias- the MATRIX-VT Study
1 other identifier
observational
20
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started Aug 2023
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 19, 2023
CompletedFirst Posted
Study publicly available on registry
July 28, 2023
CompletedStudy Start
First participant enrolled
August 14, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 1, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
March 1, 2025
CompletedAugust 29, 2024
August 1, 2024
1.1 years
July 19, 2023
August 28, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
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
Study Arms (1)
VT Patients
Patients with indication for catheter ablation of ventricular arrhythmia and preprocedural contrast-enhanced cardiac computed tomography for cardiac structure characterization.
Eligibility Criteria
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.
You may qualify if:
- 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
You may not qualify if:
- Platelet count \< 100,000 cells/mm3
- BMI \> 45 kg/m2 or \< 18 kg/m2
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Klinik für Rhythmologie
Lübeck, Schleswig-Holstein, 23538, Germany
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor Dr. med.univ.
Study Record Dates
First Submitted
July 19, 2023
First Posted
July 28, 2023
Study Start
August 14, 2023
Primary Completion
October 1, 2024
Study Completion
March 1, 2025
Last Updated
August 29, 2024
Record last verified: 2024-08
Data Sharing
- IPD Sharing
- Will not share