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NCT Number: NCT05964660

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

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.

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Key information

Conditions

Ventricular Arrythmia Arrhythmias, Cardiac Cardiac Conduction System Disease Cardiovascular Diseases Heart Diseases Pathologic Processes Pathological Conditions, Signs and Symptoms Tachycardia Tachycardia, Ventricular

Age range

18 year–100 year

Sex eligibility

All sexes

Study type

Observational

Primary location

About this study

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.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Primary outcomes

  1. Feasibility of algorithm training to achieve improved arrhythmogenic substrate characterization

    Time frame: 1 month after complete data collection

    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.

  2. Feasibility of algorithm training to improve the planning target volume definition for stereotactic arrhythmia radioablation therapy

    Time frame: 1 month after complete data collection

    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

Sponsors and collaborators

Lead sponsor

University of Luebeck

Other

Collaborators

  • Institute for Robotics and Cognitive Systems, University of Luebeck, Germany

Registry information

Official study title

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

Acronym: MATRIX-VT

Important dates

Study start
2023
Primary completion
2024
Study completion
2025
First posted
Jul 28, 2023
Registry last updated
Aug 29, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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