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. Author manuscript; available in PMC: 2019 Apr 1.
Published in final edited form as: Stroke. 2018 Mar 13;49(4):856–864. doi: 10.1161/STROKEAHA.117.019929

Figure 2.

Figure 2

Results of hierarchal cluster analysis. (A) The IAs, labeled by size, and separated into two clusters. (B) EI was the most important feature in separating the two clusters. (C) A scatter plot of EI versus IA size indicated that more hemispherical and smaller IAs tended to be assigned to Cluster A. (D) ROC analysis showed that IA size was a good indicator of cluster assignment (AUC=0.81) and the best size cutoff to separate small and large IAs was 5.04mm.

AR=aspect ratio; EI=ellipticity index; LSA=low wall shear stress area; NSI=nonsphericity index; RRT=relative residence time; SR=size ratio; UI=undulation index; WSS=wall shear stress