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Automated intraprocedural localization of origin of ventricular activation using patient-specific computed tomographic imaging.

Abstract：

BACKGROUND:To facilitate catheter ablation of ventricular tachycardia (VT), we previously developed an automated method to identify sources of left ventricular (LV) activation in real time using 12-lead electrocardiography (ECG), the accuracy of which depends on acquisition of a complete electroanatomic (EA) map. OBJECTIVE:The purpose of this study was to assess the feasibility of using a registered cardiac computed tomogram (CT) rather than an EA map to permit real-time localization and avoid errors introduced by incomplete maps. METHODS:Before LV VT ablation, 10 patients underwent CT imaging and 3-dimensional reconstruction of the cardiac surface to create a triangle mesh surface, which was registered to the EA map during the procedure and imported into custom localization software. The software uses QRS integrals from leads III, V2, and V6; derives personalized regression coefficients from pacing at ≥5 sites with known locations; and estimates the location of unknown activation sites on the 3-dimensional patient-specific LV endocardial surface. Localization accuracy was quantified for VT exit sites in millimeters by comparing the calculated against the known locations. RESULTS:The VT exit site was identified for 20 VTs using activation and entrainment mapping, supplemented by pace-mapping at the scar margin. The automated localization software achieved incremental accuracy with additional pacing sites and had a mean localization error of 6.9 ± 5.7 mm for the 20 VTs. CONCLUSION:Patient-specific CT geometry is feasible for use in real-time automated localization of ventricular activation and may avoid reliance on a complete EA map.

journal_name

Heart Rhythm

journal_title

Heart rhythm

authors

Zhou S,Sapp JL,Horáček BM,Warren JW,MacInnis PJ,Davis J,Elsokkari I,Choudhury R,Parkash R,Gray C,Gardner M,MacIntyre CJ,AbdelWahab A

doi

10.1016/j.hrthm.2019.10.025

subject

Has Abstract

pub_date

2020-04-01 00:00:00

pages

567-575

issue

4

eissn

1547-5271

issn

1556-3871

pii

S1547-5271(19)30947-6

journal_volume

17

pub_type

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