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. 2021 Feb 26;6(3):467–475. doi: 10.1136/svn-2020-000636

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© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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Box diagram illustrating the relationship between WSS/vorticity and degree of AWE, as well as the prediction performance of AWE and CAWE. (A) Correlation coefficients were calculated using Spearman’s correlation analysis and showed that WSS is negatively correlated with AWE. (B) Correlation coefficients were calculated by Spearman’s correlation analysis and showed that the average vorticity in the IA is negatively correlated with AWE. The ROC curves of logistic regression models are (C) WSS_avg-IA predict AWE, (D) WSS_avg-IA predict CAWE, (E) WSS_avg-IA and Vorticity_avg-IA predict AWE and (F) WSS_avg-IA and Vorticity_avg-IA predict CAWE, respectively. AUC, sensitivity and specificity are reported with 95% CI. AUC, area under curve; AWE, aneurysmal wall enhancement; CAWE, circumferential AWE; FPR, false positive rate; IA, intracranial aneurysm; ROC,; TPR, true positive rate; WSS, wallshear stress.