Skip to content

Non-Invasive Electrocardiographic Imaging for Personalized Arrhythmia Care in Congenital Heart Disease

Non-Invasive Electrocardiographic Imaging for Personalized Arrhythmia Care in Congenital Heart Disease

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07425132
Acronym
EPIC
Enrollment
15
Registered
2026-02-20
Start date
2026-02-01
Completion date
2027-07-01
Last updated
2026-02-20

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

Conditions

Congenital Heart Disease

Keywords

Electrocardiography, ECGi, Congenital heart disease, Cardiac arrhythmias

Brief summary

To assess the accuracy and clinical utility of a novel non-invasive ECGI mapping system in identifying arrhythmogenic regions of interest in patients with congenital heart disease.

Detailed description

Congenital heart disease (CHD) survivors often present with complex anatomical remodeling and progressive atrial or ventricular arrhythmias that significantly impact their quality of life and long-term prognosis. Traditional diagnostic tools, such as the standard 12-lead ECG, frequently fall short in these patients due to displaced cardiac structures and atypical conduction pathways. While invasive electroanatomical mapping remains the gold standard for arrhythmia characterization, there is a critical clinical need for non-invasive, high-resolution tools that can streamline procedural planning and improve the precision of therapeutic interventions like catheter ablation or cardiac resynchronization therapy (CRT). This single-center, prospective pilot study investigates the clinical utility and accuracy of a novel Electrocardiographic Imaging (ECGI) system. This system aims to overcome the limitations of conventional mapping by offering real-time, non-invasive 3D reconstruction of cardiac electrical activity. A key innovation of this technology is its ability to utilize statistical estimation algorithms to generate cardiac geometries, potentially bypassing the need for time-consuming medical image segmentation (CT/MRI) in standard cases, while allowing for personalized anatomical integration in complex congenital presentations. Study Workflow After obtaining informed consent, participants scheduled for elective electrophysiological (EP) studies or device implantations will follow a multi-modal diagnostic protocol: 1. Body Surface Mapping: Placement of the 128-electrode vest and 3D torso reconstruction to localize electrode positions relative to the heart. 2. Standard 12-Lead ECG Acquisition: Traditional recordings are captured to serve as a baseline for head-to-head accuracy comparisons. 3. Intraoperative Invasive Mapping: During the clinical procedure, high-density endocardial mapping is performed using standard-of-care electroanatomical mapping systems to provide the definitive "ground truth" for arrhythmia localization. 4. Anatomical Imaging Integration: Review of existing CT or MRI data (or acquisition based on clinical indication) to perform personalized segmentation. 5. Comparative Analysis: A blinded expert review will compare the localization of "regions of interest" (ROI) between the ECGI system, the 12-lead ECG, and the invasive endocardial maps. Patient Profile The trial focuses exclusively on patients with congenital heart disease, a cohort currently underrepresented in non-invasive mapping research. Eligible participants include those undergoing EP studies for tachycardia or those requiring device therapy (pacemakers/CRT) where optimal lead placement is critical. Safety and Risk Mitigation The ECGI mapping process is entirely non-invasive and adds no procedural risk to the patient. No additional invasive maneuvers are required beyond what is already clinically indicated for the patient's standard care.

Interventions

A 128-electrode vest is placed on the patient's torso to record high-resolution body surface potentials. The torso geometry is then reconstructed using photogrammetry, capturing electrode positions and surface topology. The cardiac geometry can be either estimated through a Statistical Shape Model (SSM) generating a patient-specific representation of the heart or obtained by segmentation from CT/MRI. This enables non-invasively reconstructing the epicardial electrical activity of both atria and ventricles.

Sponsors

Fundacion para la Innovacion en Biomedicina (FIBMED)
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

* Patients with congenital pathologies and a clinical indication for an invasive electroanatomical study and/or implantation of intracavitary stimulation devices. * Written informed consent form signed to participate in the study. * Ability to stand upright to allow for the 3D torso reconstruction required by the ECGI system.

Exclusion criteria

* Patients under 18 years of age. * Inability to undergo endocardial catheterization (e.g., pregnant or breastfeeding women). * Physical or mental incapacity to understand and accept the informed consent.

Design outcomes

Primary

MeasureTime frameDescription
Geometry threshold complexity1 yearValidation of Statistical vs. Personalized Geometry: A primary objective is to determine the "threshold of complexity" where statistical models fail. In minor structural variations, statistical estimation may suffice, reducing radiation and costs. However, in major congenital malformations, the study hypothesizes that personalized CT/MRI segmentation is essential for maintaining spatial accuracy.
ECGi and invasive mapping correlation1 yearAgreement with Invasive Mapping: By correlating non-invasive epicardial maps with high-density intracavitary electrograms (EGM), the study seeks to validate the ECGI system's precision in identifying conduction blocks, rotational drivers, or focal triggers specific to the CHD population.

Secondary

MeasureTime frameDescription
Sensitivity and specificity of ECGI vs. 12-lead ECG1 yearSensitivity and specificity of ECGI vs. 12-lead ECG
Mean distance error (in mm) between statistical geometry maps and CT/MRI-based maps1 yearMean distance error (in mm) between statistical geometry maps and CT/MRI-based maps
Procedural time impact of incorporating non-invasive mapping data (in minutes)1 yearProcedural time impact of incorporating non-invasive mapping data (in minutes)

Countries

Spain

Contacts

CONTACTFelipe Atienza, MD, PhD
felipe.atienza@salud.madrid.org0034915868290

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 21, 2026