Pilot Study on 3D Echocardiography Motion Integration for Better Treatment of Ventricular Tachycardia Using Stereotactic Arrhythmia Radioablation

What this Trial Is About

Researchers are conducting a prospective, observational pilot study at a single center to explore how artificial intelligence can integrate motion and structural data in patients with ventricular arrhythmia. The goal is to improve understanding of the arrhythmogenic substrate and enhance motion management during stereotactic arrhythmia radioablation therapy. This study focuses on patients undergoing catheter ablation for ventricular arrhythmia and uses advanced imaging techniques to gather data. The study analyzes data from preprocedural contrast-enhanced cardiac computed tomography and optically-tracked 3D transthoracic echocardiography. These imaging results from patients indicated for catheter ablation are processed using artificial intelligence to better characterize the ventricular arrhythmogenic substrate. The AI also aims to improve how the treatment area is defined for stereotactic arrhythmia radioablation by integrating motion data into planning. Participants with ventricular arrhythmia will have their imaging data collected and analyzed. Researchers will assess the feasibility of training AI algorithms to enhance substrate characterization and improve target volume planning for the radioablation therapy. Outcomes will be measured one month after complete data collection. The overall participation involves imaging procedures, AI data analysis, and follow-up to evaluate these technological integrations in treatment planning.

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