Key result
Velocity Vector Imaging accurately tracks regional strain with strong correlation to sonomicrometry.
Why the study?
A novel, angle-independent, feature-tracking echocardiographic method for quantifying regional myocardial function required validation against a reference standard.
Does Velocity Vector Imaging (VVI) accurately correlate with sonomicrometry for the quantification of regional myocardial function in an animal model?
Does Velocity Vector Imaging (VVI) accurately correlate with sonomicrometry for the quantification of regional myocardial function in an animal model?
Velocity Vector Imaging accurately tracks regional myocardial function changes in a canine model, correlating strongly with sonomicrometry reference standards.
OBJECTIVES: The aim of this study was to validate a novel, angle-independent, feature-tracking method for the echocardiographic quantitation of regional function. BACKGROUND: A new echocardiographic method, Velocity Vector Imaging (VVI) (syngo Velocity Vector Imaging technology, Siemens Medical Solutions, Ultrasound Division, Mountain View, California), has been introduced, based on feature tracking-incorporating speckle and endocardial border tracking, that allows the quantitation of endocardial strain, strain rate (SR), and velocity. METHODS: Seven dogs were studied during baseline, and various interventions causing alterations in regional function: dobutamine, 5-min coronary occlusion with reperfusion up to 1 h, followed by dobutamine and esmolol infusions. Echocardiographic images were acquired from short- and long-axis views of the left ventricle. Segment-length sonomicrometry crystals were used as the reference method. RESULTS: Changes in systolic strain in ischemic segments were tracked well with VVI during the different states of regional function. There was a good correlation between circumferential and longitudinal systolic strain by VVI and sonomicrometry (r = 0.88 and r = 0.83, respectively, p < 0.001). Strain measurements in the nonischemic basal segments also demonstrated a significant correlation between the 2 methods (r = 0.65, p < 0.001). Similarly, a significant relation was observed for circumferential and longitudinal SR between the 2 methods (r = 0.94, p < 0.001 and r = 0.90, p < 0.001, respectively). The endocardial velocity relation to changes in strain by sonomicrometry was weaker owing to significant cardiac translation. CONCLUSIONS: Velocity Vector Imaging, a new feature-tracking method, can accurately assess regional myocardial function at the endocardial level and is a promising clinical tool for the simultaneous quantification of regional and global myocardial function.
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Pirat et al. (2008) studied Myocardial ischemia and regional myocardial dysfunction (n=7). Velocity Vector Imaging (VVI) vs. Sonomicrometry was evaluated on Correlation of circumferential and longitudinal systolic strain between VVI and sonomicrometry (r = 0.88 and r = 0.83, p=<0.001). Velocity Vector Imaging accurately tracked regional myocardial function, demonstrating good correlation with sonomicrometry for circumferential (r=0.88) and longitudinal (r=0.83) systolic strain (P<0.001).
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