Three-dimensional vena contracta area correlated significantly with aortic regurgitation severity (P<0.001), with a cutoff >50 mm2 predicting severe AR with 92% sensitivity and 87% specificity.
Observational (n=77)
Does three-dimensional vena contracta area measurement accurately determine aortic regurgitation severity compared to the AR index in patients with aortic regurgitation?
3D color flow vena contracta area measurement provides a simple and accurate method for assessing the severity of aortic regurgitation, correlating well with established indices.
p-value: p=<0.001
OBJECTIVES: The aims of this study are to explore the correlation between the three-dimensional vena contracta (3D VC) area and the aortic regurgitation (AR) index and to determine AR severity using the 3D VC area. BACKGROUND: The geometry of regurgitant jets is complex in patients with AR. The 3D VC area can be easily cropped using any plane and we can obtain the complex geometry of the VC area. METHODS: Full-volume three-dimensional (3D) color flow datasets were generated using the trans-thoracic parasternal approach. The AR jet could be well visualized and analyzed in three orthogonal planes using dedicated software. RESULTS: We consecutively analyzed 77 AR patients with comprehensive 2D and 3D echocardiographic data. The 3D VC area increased proportionately with increasing AR severity using the AR index method (F = 86.1, P 50 mm(2) (sensitivity = 92% and specificity = 87%) for predicting severe AR. CONCLUSION: 3D color flow VC area measurement provides a simple and accurate method for assessing the severity of AR.
Chin et al. (Mon,) conducted a observational in Aortic Regurgitation (n=77). Three-dimensional vena contracta area measurement vs. Aortic regurgitation index was evaluated on Correlation between 3D VC area and AR severity using the AR index method (p=<0.001). Three-dimensional vena contracta area correlated significantly with aortic regurgitation severity (P<0.001), with a cutoff >50 mm2 predicting severe AR with 92% sensitivity and 87% specificity.