CI

At a glance

ClinicalIndex Comparison Record
N/ACompleted· 65 enrolled
Drug / intervention
Computational Mapping Algorithmdevice
Likely dose
Not stated in record
Structured eligibility isn't available for this trial yet — see the full criteria in the Eligibility tab below.

Standardized by ClinicalIndex from the ClinicalTrials.gov record · verify against the source.

Search/NCT03263702
NCT03263702N/ACompleted

Real-time Electrogram Analysis for Drivers of AtRial Fibrillation (RADAR)

Vivek Reddy·interventional·Posted Aug 28, 2017·Updated May 13, 2020

In Brief

A clinical study evaluating Computational Mapping Algorithm for Persistent Atrial Fibrillation. Completed, enrolled 65 participants across 4 sites.

Detailed Summary

This prospective, multicenter, observational study will examine the ability of real time electrogram processing mapping to identify driver domains to target for ablation in persistent AF patients.

Study Details

Study Typeinterventional
Allocation--
Masking--
Primary Purpose--
CountriesUnited States
CollaboratorsAFTx, Inc.

Timeline

N/ACompletedFinished
201820192020202120222023202420252026
First PostedAug 28, 2017
Enrollment StartJun 26, 2017
Primary CompletionJun 7, 2019
TodayJul 2, 2026
Enrollment to primary: 1.9 yearsPosted 8.8 years ago

Interventions

Computational Mapping Algorithmdevice

This software enables high resolution temporospatial mapping of atria for the identification of drivers of AF. CMA receives data from standard of care, commercially available 3D Mapping Systems (St. Jude Ensite System) and catheters and processes the data in a unique way. Electrogram and anatomy data are fed from the commercially available 3D Mapping System to an adjacent laptop computer, via an Ethernet connection, that is running CMA. CMA then processes the electrogram data and generates a map of where the potential AF driver domains are located and superimposes those potential AF driver domain targets onto the 3D geometry of the anatomy (provided by the 3D mapping system).