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Related Experiment Video

Updated: Jun 6, 2026

A Volumetric Method for Quantification of Cerebral Vasospasm in a Murine Model of Subarachnoid Hemorrhage

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Published on: July 28, 2018

Hemodynamic-morphologic discriminants for intracranial aneurysm rupture.

Jianping Xiang¹, Sabareesh K Natarajan, Markus Tremmel

¹Toshiba Stroke Research Center, University at Buffalo, State University of New York, Buffalo, NY 14214, USA.

|November 26, 2010

Summary

This study found that size ratio, wall shear stress (WSS), and oscillatory shear index are key factors in predicting intracranial aneurysm rupture. Combining these morphological and hemodynamic parameters offers the highest accuracy in determining rupture status.

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Area of Science:

Neurosurgery
Medical Imaging
Biomechanical Engineering

Background:

Intracranial aneurysms pose a significant risk of rupture, leading to potentially fatal subarachnoid hemorrhage.
Accurate prediction of aneurysm rupture status is crucial for effective clinical management and treatment decisions.

Purpose of the Study:

To identify significant morphological and hemodynamic parameters for discriminating intracranial aneurysm rupture.
To evaluate the predictive power of individual and combined parameters using 3D angiography and computational fluid dynamics (CFD).

Main Methods:

Analysis of 119 intracranial aneurysms (38 ruptured, 81 unruptured) using 3D angiographic images and CFD.
Evaluation of six morphological and seven hemodynamic parameters for rupture significance.
Multivariate logistic regression and ROC analysis to determine independent discriminants and model performance (AUC).

Main Results:

Morphological parameters (size ratio, undulation index, ellipticity index, nonsphericity index) and hemodynamic parameters (average wall shear stress [WSS], maximum intra-aneurysmal WSS, low WSS area, average oscillatory shear index, number of vortices, relative resident time) were statistically significant (P<0.01).
Size ratio was the sole independent morphological predictor (AUC, 0.83).
WSS and oscillatory shear index were independent hemodynamic predictors (AUC, 0.85).
The combined model, including size ratio, WSS, and oscillatory shear index, showed the highest predictive accuracy (AUC, 0.89).

Conclusions:

Morphological (size ratio), hemodynamic (WSS, oscillatory shear index), and combined models effectively discriminate intracranial aneurysm rupture status with high AUC values.
Hemodynamic factors are as critical as morphological factors in predicting aneurysm rupture.