title: Value of epicardial potential maps in localizing pre-excitation sites for radiofrequency ablation. A simulation study.
abstract: Using computer simulations, we systematically investigated the limitations of an inverse solution that employs the potential distribution on the epicardial surface as an equivalent source model in localizing pre-excitation sites in Wolff-Parkinson-White syndrome. A model of the human ventricular myocardium that features an anatomically accurate geometry, an intramural rotating anisotropy and a computational implementation of the excitation process based on electrotonic interactions among cells, was used to simulate body surface potential maps (BSPMs) for 35 pre-excitation sites positioned along the atrioventricular ring. Two individualized torso models were used to account for variations in torso boundaries. Epicardial potential maps (EPMs) were computed using the L-curve inverse solution. The measure for accuracy of the localization was the distance between a position of the minimum in the inverse EPMs and the actual site of pre-excitation in the ventricular model. When the volume conductor properties and lead positions of the torso were precisely known and the measurement noise was added to the simulated BSPMs, the minimum in the inverse EPMs was at 12 ms after the onset on average within 0.65 +/- 0.26 cm of the pre-excitation site. When the standard torso model was used to localize the sites of onset of the pre-excitation sequence initiated in individualized male and female torso models, the mean distance between the minimum and the pre-excitation site was 0.67 +/- 0.31 cm for the male torso and 0.82 +/- 0.53 cm for the female torso. The findings of our study indicate that a location of the minimum in EPMs computed using the inverse solution can offer non-invasive means for pre-interventional planning of the ablative treatment.
authors.affiliation: Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, Salt Lake City 84112-5000, USA.
authors.forename: R
authors.initials: R
authors.lastname: Hren
mesh_terms: D055592:Biophysical Phenomena; D001703:Biophysics; D018780:Body Surface Potential Mapping / Q000706:statistics & numerical data; D003198:Computer Simulation; D004594:Electrophysiology; D005260:Female; D006801:Humans; D008297:Male; D008433:Mathematics; D008955:Models, Cardiovascular; D010496:Pericardium / Q000473:pathology / Q000503:physiopathology*; D000078702:Radiofrequency Therapy; D014927:Wolff-Parkinson-White Syndrome / Q000473:pathology / Q000503:physiopathology* / Q000628:therapy*