作者: Amer M. Johri , David W. Chitty , Murray Matangi , Paul Malik , Parvin Mousavi
DOI: 10.1016/J.ECHO.2012.09.005
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摘要: Background Screening tools for the detection of coronary artery disease (CAD) are considerable interest in light skyrocketing risk factors. Recent work suggests that carotid plaque has a relatively unexplored role CAD prediction but previously been limited by difficulty quantifying its irregular architecture using two-dimensional (2D) ultrasound. The aim this study was to investigate utility novel automated three-dimensional (3D) ultrasound-based volume quantification technique as negative predictor CAD. Methods In prospective study, 70 consecutive patients referred angiography underwent same-day 2D and 3D ultrasound scans purpose bulbs. Two-dimensional thickness measured maximal value perpendicular vessel wall. Total quantified stacked-contour method. Luminal narrowing arteries analyzed established 16-segment model produce an overall angiographic score. Receiver operating characteristic curves, predictive value, sensitivity relative were determined. Results method resulted higher at their optimal thresholds determined Youden indices receiver curves. particular, total volumes less than threshold 0.09 mL accurately predicted absence significant 93.3% (98.0% sensitivity), whereas 1.35 mm provided significantly lower predictability 75% (93.9% sensitivity). Conclusions Using volumes, feasibility may serve important clinical screening tool help identify who low