A Simple Flow Classification Parameter Can Discriminate Rupture Status in Intracranial Aneurysms

被引:8
作者
Asgharzadeh, Hafez [1 ]
Shahmohammadi, Ali [2 ]
Varble, Nicole [1 ,3 ]
Levy, Elad, I [3 ,4 ]
Meng, Hui [1 ,3 ,4 ,5 ]
Borazjani, Iman [1 ,6 ]
机构
[1] Univ Buffalo, Dept Mech & Aerosp Engn, Buffalo, NY USA
[2] Queens Univ, Dept Chem Engn, Kingston, ON, Canada
[3] Univ Buffalo, Cannon Stroke & Vasc Res Ctr, Buffalo, NY USA
[4] Univ Buffalo, Dept Neurosurg, Buffalo, NY USA
[5] Univ Buffalo, Dept Biomed Engn, Buffalo, NY USA
[6] Texas A&M Univ, J Mike Walker Dept Mech Engn 66, MEOB 428,202 Spence St, College Stn, TX 77840 USA
基金
美国国家卫生研究院;
关键词
Intracranial aneurysms; Flow classification parameter; Hemodynamics; Rupture status prediction; Classification parameter; NORMAL REFERENCE VALUES; RISK-FACTORS; DOPPLER SONOGRAPHY; NATURAL-HISTORY; SHEAR-STRESS; WAVE-FORMS; HEMODYNAMICS; SIZE; PATIENT; RATIO;
D O I
10.1093/neuros/nyaa189
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
BACKGROUND: A simple dimensionless aneurysm number (An), which depends on geometry and flow pulsatility, was previously shown to distinguish the flow mode in intracranial aneurysms (IA): vortex mode with a dynamic vortex formation/evolution if An > 1, and cavity mode with a steady shear layer if An < 1. OBJECTIVE: To hypothesize that An > 1 can distinguish rupture status because vortex mode is associated with high oscillatory shear index, which, in turn, is statistically associated with rupture. METHODS: The above hypothesis is tested on a retrospective, consecutively collected database of 204 patient-specific IAs. The first 119 cases are assigned to training and the remainder to testing dataset An is calculated based on the pulsatility index (PI) approximated either from the literature or solving an optimization problem (denoted as (P) over capI). Student's t-test and logistic regression (LR) are used for hypothesis testing and data fitting, respectively. RESULTS: An can significantly discriminate ruptured and unruptured status with 95% confidence level (P < .0001). An (using PI) and <(A)over cap>n (using (P) over capI) significantly predict the ruptured IAs (for training dataset An: AUC = 0.85, (A) over capn: AUC = 0.90, and for testing dataset An: sensitivity = 94%, specificity = 33%, (A) over capn: sensitivity = 93.1%, specificity = 52.85%). CONCLUSION: An >1 predicts ruptured status. Unlike traditional hemodynamic parameters such as wall shear stress and oscillatory shear index, An has a physical threshold of one (does not depend on statistical analysis) and does not require time-consuming flow simulations. Therefore, An is a simple, practical discriminator of IA rupture status.
引用
收藏
页码:E557 / E564
页数:8
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