Key result
Electromechanical cycle length mapping (ECLM) showed excellent correlation with pacing rates in a canine model (slope = 0.983, r2 = 0.9999), demonstrating its potential for characterizing arrhythmias.
Why the study?
Does electromechanical cycle length mapping (ECLM) accurately estimate electromechanical activation rate compared to known pacing rates in a canine model?
Does electromechanical cycle length mapping (ECLM) accurately estimate electromechanical activation rate compared to known pacing rates in a canine model?
Effect estimate: slope = 0.983, r(2) = 0.9999
Electromechanical cycle length mapping (ECLM) is a novel, reproducible ultrasound-based technique that accurately estimates atrial electromechanical cycle lengths in vivo, showing potential for noninvasive characterization of atrial arrhythmias.
ECLM tracks rates accurately in canines; leaves open translation to human arrhythmia mapping.
Atrial arrhythmias affect millions of people worldwide. Characterization and study of arrhythmias in the atria in the clinic is currently performed point by point using mapping catheters capable of generating maps of the electrical activation rate or cycle length. In this paper, we describe a new ultrasound-based mapping technique called electromechanical cycle length mapping (ECLM) capable of estimating the electromechanical activation rate, or cycle length, i.e., the rate of the mechanical activation of the myocardium which follows the electrical activation. ECLM relies on frequency analysis of the incremental strain within the atria and can be performed in a single acquisition. ECLM was validated in a canine model paced from the left atrial appendage, against pacing rates within the reported range of cycle lengths previously measured during atrial arrhythmias such as atrial fibrillation. Correlation between the global estimated electromechanical cycle lengths and pacing rates was shown to be excellent (slope = 0.983, intercept = 3.91, r(2) = 0.9999). The effect of the number of cardiac cycles on the performance of ECLM was also investigated and the reproducibility of ECLM was demonstrated (error between consecutive acquisitions for all pacing rates: 6.3 ± 4.3%). These findings indicate the potential of ECLM for noninvasively characterizing atrial arrhythmias and provide feedback on the treatment planning of catheter ablation procedures in the clinic.
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Costet et al. (2015) studied Atrial arrhythmias (canine model). Electromechanical cycle length mapping (ECLM) vs. Pacing rates was evaluated on Correlation between global estimated electromechanical cycle lengths and pacing rates (slope = 0.983, r(2) = 0.9999). Electromechanical cycle length mapping (ECLM) showed excellent correlation with pacing rates in a canine model (slope = 0.983, r2 = 0.9999), demonstrating its potential for characterizing arrhythmias.
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