TY - JOUR
T1 - Electrocardiographic Imaging of Repolarization Abnormalities
AU - Bear, Laura R
AU - Cluitmans, Matthijs
AU - Abell, Emma
AU - Rogier, Julien
AU - Labrousse, Louis
AU - Cheng, Leo K
AU - LeGrice, Ian
AU - Lever, Nigel
AU - Sands, Gregory B
AU - Smaill, Bruce
AU - Haïssaguerre, Michel
AU - Bernus, Olivier
AU - Coronel, Ruben
AU - Dubois, Rémi
N1 - Funding Information:
This work was supported by the French National Research Agency (ANR10-IAHU04-LIRYC), La Fondation Coeur et Art?res (FCA14T2), the European Research Council under the European Union?s Seventh Framework Programme (FP/2007-2013), the Leducq Foundation Transatlantic Network of Excellence RHYTHM Transatlantic Network (16CVD02), a Veni grant from the Netherlands Organization for Scientific Research (TTW 16772), and Programme Grant 09/067 from the Health Research Council of New Zealand.
Funding Information:
This work was supported by the French National Research Agency (ANR-10-IAHU04-LIRYC), La Fondation Coeur et Artères (FCA14T2), the European Research Council under the European Union’s Seventh Framework Programme (FP/2007-2013), the Leducq Foundation Transatlantic Network of Excellence RHYTHM Transatlantic Network (16CVD02), a Veni grant from the Netherlands Organization for Scientific Research (TTW 16772), and Programme Grant 09/067 from the Health Research Council of New Zealand.
Publisher Copyright:
© 2021 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.
PY - 2021/5/4
Y1 - 2021/5/4
N2 - Background Dispersion and gradients in repolarization have been associated with life-threatening arrhythmias, but are difficult to quantify precisely from surface electrocardiography. The objective of this study was to evaluate electrocardiographic imaging (ECGI) to noninvasively detect repolarization-based abnormalities. Methods and Results Ex vivo data were obtained from Langendorff-perfused pig hearts (n=8) and a human donor heart. Unipolar electrograms were recorded simultaneously during sinus rhythm from an epicardial sock and the torso-shaped tank within which the heart was suspended. Regional repolarization heterogeneities were introduced through perfusion of dofetilide and pinacidil into separate perfusion beds. In vivo data included torso and epicardial potentials recorded simultaneously in anesthetized, closed-chest pigs (n=5), during sinus rhythm, and ventricular pacing. For both data sets, ECGI accurately reconstructed T-wave electrogram morphologies when compared with those recorded by the sock (ex vivo: correlation coefficient, 0.85 [0.52-0.96], in vivo: correlation coefficient, 0.86 [0.52-0.96]) and repolarization time maps (ex-vivo: correlation coefficient, 0.73 [0.63-0.83], in vivo: correlation coefficient, 0.76 [0.67-0.82]). ECGI-reconstructed repolarization time distributions were strongly correlated to those measured by the sock (both data sets, R2 ≥0.92). Although the position of the gradient was slightly shifted by 8.3 (0-13.9) mm, the mean, max, and SD between ECGI and recorded gradient values were highly correlated (R2=0.87, 0.75, and 0.86 respectively). There was no significant difference in ECGI accuracy between ex vivo and in vivo data. Conclusions ECGI reliably and accurately maps potentially critical repolarization abnormalities. This noninvasive approach allows imaging and quantifying individual parameters of abnormal repolarization-based substrates in patients with arrhythmogenesis, to improve diagnosis and risk stratification.
AB - Background Dispersion and gradients in repolarization have been associated with life-threatening arrhythmias, but are difficult to quantify precisely from surface electrocardiography. The objective of this study was to evaluate electrocardiographic imaging (ECGI) to noninvasively detect repolarization-based abnormalities. Methods and Results Ex vivo data were obtained from Langendorff-perfused pig hearts (n=8) and a human donor heart. Unipolar electrograms were recorded simultaneously during sinus rhythm from an epicardial sock and the torso-shaped tank within which the heart was suspended. Regional repolarization heterogeneities were introduced through perfusion of dofetilide and pinacidil into separate perfusion beds. In vivo data included torso and epicardial potentials recorded simultaneously in anesthetized, closed-chest pigs (n=5), during sinus rhythm, and ventricular pacing. For both data sets, ECGI accurately reconstructed T-wave electrogram morphologies when compared with those recorded by the sock (ex vivo: correlation coefficient, 0.85 [0.52-0.96], in vivo: correlation coefficient, 0.86 [0.52-0.96]) and repolarization time maps (ex-vivo: correlation coefficient, 0.73 [0.63-0.83], in vivo: correlation coefficient, 0.76 [0.67-0.82]). ECGI-reconstructed repolarization time distributions were strongly correlated to those measured by the sock (both data sets, R2 ≥0.92). Although the position of the gradient was slightly shifted by 8.3 (0-13.9) mm, the mean, max, and SD between ECGI and recorded gradient values were highly correlated (R2=0.87, 0.75, and 0.86 respectively). There was no significant difference in ECGI accuracy between ex vivo and in vivo data. Conclusions ECGI reliably and accurately maps potentially critical repolarization abnormalities. This noninvasive approach allows imaging and quantifying individual parameters of abnormal repolarization-based substrates in patients with arrhythmogenesis, to improve diagnosis and risk stratification.
KW - ECG
KW - electrocardiographic imaging
KW - electrocardiography
KW - electrophysiology mapping
KW - repolarization
U2 - 10.1161/JAHA.120.020153
DO - 10.1161/JAHA.120.020153
M3 - Article
C2 - 33880931
SN - 2047-9980
VL - 10
JO - Journal of the American Heart Association
JF - Journal of the American Heart Association
IS - 9
M1 - e020153
ER -