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

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

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05964660
Acronym
MATRIX-VT
Enrollment
20
Registered
2023-07-28
Start date
2023-08-14
Completion date
2025-03-31
Last updated
2024-08-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Ventricular Arrythmia

Keywords

Ventricular arrhythmia, Ventricular tachycardia, Stereotactic arrhythmia radioablation, Artificial intelligence, Motion management, Motion integration

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.

Detailed description

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.

Interventions

None listed

Sponsors

Institute for Robotics and Cognitive Systems, University of Luebeck, Germany
CollaboratorUNKNOWN
University of Luebeck
Lead SponsorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 100 Years
Healthy volunteers
Yes

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

Design outcomes

Primary

MeasureTime frameDescription
Feasibility of algorithm training to achieve improved arrhythmogenic substrate characterization1 month after complete data collectionThe 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 therapy1 month after complete data collectionThe 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

Countries

Germany

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026