Computational Cardiac Imaging Analysis to Guide Ventricular Tachycardia Ablation Procedures (AI-VT)

University of California San Diego

Status: Invitation-only

Conditions: Ventricular Tachycardia (VT); Ventricular Fibrillation; Premature Ventricular Contraction (PVC)

Treatments: Diagnostic Test: Computational electrocardiography and cardiac computed tomography mapping

Study type: Interventional

Funder types: Other

Identifiers

NCT06964152

171964

Details and patient eligibility

About

The purpose of this study is to evaluate the clinical outcomes (clinical efficacy and safety) of using supplemental non-invasive computational ECG and cardiac imaging analysis tools to help guide ablation of ventricular tachycardia.

Enrollment: 250 estimated patients

Sex: All

Ages: 21 to 90 years old

Volunteers: No Healthy Volunteers

Inclusion and exclusion criteria

Inclusion Criteria:

1. Age between 21 and 100
2. Evidence of ventricular tachycardia on ECG, telemetry or by CIED interrogation.

Exclusion Criteria:

Trial design

Primary purpose: Diagnostic

Allocation: N/A

Interventional model: Single Group Assignment

Masking: None (Open label)

---

250 participants in 1 patient group

VT ablation guided by supplemental non-invasive computational imaging analysis

Experimental group

Description:

The electrophysiologist performing the standard-of-care VT ablation will have access to supplemental arrhythmia targeting/localization information provided by computational non-invasive ECG and/or cardiac CT imaging analysis

Treatment:

Diagnostic Test: Computational electrocardiography and cardiac computed tomography mapping