PS30. Changing Trend of Mortality Rate from Ruptured and Non-ruptured Abdominal Aortic Aneurysm in Last Three Decades in the USA

Abstract

rAAA and uAAA was different. SVM correctly classified more uAAA (81% vs. 78% for kNN) while kNN classified more rAAA (87% vs 83% for SVM). Using the standard maximum diameter of 5.5 cm, 31.1% of the AAAs would have been misclassified (20 ruptured and 36 unruptured). The ruptured and unruptured AAA features tended to group together, with the most predictive features forming clusters. The ten most predictive features, given by the 2 test, were: skewness of Gaussian curvature distribution, tortuosity, non-fusiform index, minimum Mean curvature, L2 norm of Mean curvature, wall surface area, L2 norm of Gaussian curvature, isoperimetric ratio, length, and the maximum diameter. Conclusions: SVM and kNN classified more AAA correctly than a maximum diameter of 5.5 cm, indicating that maximum diameter alone is not sufficient for predicting AAA rupture risk compared to a robust geometry quantification approach.