Prospective Assessment of an Automated Intraprocedural 12-Lead ECG-Based System for Localization of Early Left Ventricular Activation

Author:

Zhou Shijie123ORCID,AbdelWahab Amir3ORCID,Horáček B. Milan4,MacInnis Paul J.5,Warren James W.5,Davis Jason S.3,Elsokkari Ihab3,Lee David C.3ORCID,MacIntyre Ciorsti J.3,Parkash Ratika3ORCID,Gray Chris J.3,Gardner Martin J.3ORCID,Marcoux Curtis3,Choudhury Rajin3ORCID,Trayanova Natalia A.12ORCID,Sapp John L.356ORCID

Affiliation:

1. Department of Biomedical Engineering (S.Z., N.A.T.), Johns Hopkins University, Baltimore, MD.

2. Alliance for Cardiovascular Diagnostic and Treatment Innovation (S.Z., N.A.T.), Johns Hopkins University, Baltimore, MD.

3. Heart Rhythm Service, Cardiology Division, Department of Medicine, Queen Elizabeth II Health Sciences Centre, Halifax, NS, Canada (S.Z., A.A., J.S.D., I.E., D.C.L., C.J.M., R.P., C.J.G., M.J.G., C.M., R.C., J.L.S.).

4. School of Biomedical Engineering (B.M.H.), Dalhousie University, Halifax, NS, Canada.

5. Departments of Physiology and Biophysics (P.J.M., J.W.W., J.L.S.), Dalhousie University, Halifax, NS, Canada.

6. Medicine (J.L.S.), Dalhousie University, Halifax, NS, Canada.

Abstract

Background: To facilitate ablation of ventricular tachycardia (VT), an automated localization system to identify the site of origin of left ventricular activation in real time using the 12-lead ECG was developed. The objective of this study was to prospectively assess its accuracy. Methods: The automated site of origin localization system consists of 3 steps: (1) localization of ventricular segment based on population templates, (2) population-based localization within a segment, and (3) patient-specific site localization. Localization error was assessed by the distance between the known reference site and the estimated site. Results: In 19 patients undergoing 21 catheter ablation procedures of scar-related VT, site of origin localization accuracy was estimated using 552 left ventricular endocardial pacing sites pooled together and 25 VT-exit sites identified by contact mapping. For the 25 VT-exit sites, localization error of the population-based localization steps was within 10 mm. Patient-specific site localization achieved accuracy of within 3.5 mm after including up to 11 pacing (training) sites. Using 3 remotes (67.8±17.0 mm from the reference VT-exit site), and then 5 close pacing sites, resulted in localization error of 7.2±4.1 mm for the 25 identified VT-exit sites. In 2 emulated clinical procedure with 2 induced VTs, the site of origin localization system achieved accuracy within 4 mm. Conclusions: In this prospective validation study, the automated localization system achieved estimated accuracy within 10 mm and could thus provide clinical utility.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine

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