Cross-correlation delay (XCD) analysis yielded 90% sensitivity and 100% specificity, outperforming established time-to-peak parameters for detecting myocardial dyssynchrony.
Cross-Sectional (n=20)
PURPOSE: To apply cross-correlation delay (XCD) analysis to myocardial phase contrast magnetic resonance (PCMR) tissue velocity data and to compare XCD to three established "time-to-peak" dyssynchrony parameters. MATERIALS AND METHODS: Myocardial tissue velocity was acquired using PCMR in 10 healthy volunteers (negative controls) and 10 heart failure patients who met criteria for cardiac resynchronization therapy (positive controls). All dyssynchrony parameters were computed from PCMR velocity curves. Sensitivity, specificity, and receiver operator curve (ROC) analysis for separating positive and negative controls were computed for each dyssynchrony parameter. RESULTS: XCD had higher sensitivity (90%) and specificity (100%) for discriminating between normal and patient groups than any of the time-to-peak dyssynchrony parameters. ROC analysis showed that XCD was the best parameter for separating the positive and negative control groups. CONCLUSION: XCD is superior to time-to-peak dyssynchrony parameters for discriminating between subjects with and without dyssynchrony and may aid in the selection of patients for cardiac resynchronization therapy.
Delfino et al. (Tue,) conducted a cross-sectional in Myocardial dyssynchrony in heart failure (n=20). Cross-correlation delay (XCD) analysis of PCMR velocity data vs. Three established time-to-peak dyssynchrony parameters was evaluated on Discrimination between normal and patient groups (sensitivity and specificity). Cross-correlation delay (XCD) analysis yielded 90% sensitivity and 100% specificity, outperforming established time-to-peak parameters for detecting myocardial dyssynchrony.