Objective To explore the diagnostic value of hemodynamic and morphological characteristics based on four-dimensional flow magnetic resonance imaging(4D Flow MRI)for unstable saccular intracranial aneurysms(IAs).Methods Seventy-four patients with saccular unruptured intracranial aneurysms(UIAs)who underwent 4D Flow MRI examinations were selected.Morphological and hemodynamic data of the IAs were collected and followed up.According to the follow-up results,patients were divided into stable group and unstable group.Logistic regression analysis was used to identify factors associated with the unstable group,and the diag-nostic performance of the model was evaluated using the receiver operating characteristic(ROC)curves and the area under the curve(AUC).Results The aneurysm diameter,height,width,neck width,and aspect ratio(AR)value in the unstable group were greater than those in the stable group.The wall shear stress(WSS)at the aneurysm neck and the parent artery inflow,as well as the end diastolic velocity(EDV)at the parent artery inflow,were lower in the unstable group than those in the stable group(P＜0.05).Multivariate logistic regression analysis showed that the AR and WSS at the aneurysm neck were independent predictors of unstable IAs(P＜0.05).The combined model of WSS at the aneurysm neck and AR showed an AUC of 0.742[95％confidence interval(CI)0.608-0.875],repre-sented the highest diagnostic performance.Conclusion The hemodynamic characteristics quantified by 4D Flow MRI offer supple-mentary information for risk assessment of IAs.Combining hemodynamic and morphological characteristics is of significant value in identi-fying unstable saccular IAs.

Objective To explore the diagnostic value of hemodynamic and morphological characteristics based on four-dimensional flow magnetic resonance imaging(4D Flow MRI)for unstable saccular intracranial aneurysms(IAs).Methods Seventy-four patients with saccular unruptured intracranial aneurysms(UIAs)who underwent 4D Flow MRI examinations were selected.Morphological and hemodynamic data of the IAs were collected and followed up.According to the follow-up results,patients were divided into stable group and unstable group.Logistic regression analysis was used to identify factors associated with the unstable group,and the diag-nostic performance of the model was evaluated using the receiver operating characteristic(ROC)curves and the area under the curve(AUC).Results The aneurysm diameter,height,width,neck width,and aspect ratio(AR)value in the unstable group were greater than those in the stable group.The wall shear stress(WSS)at the aneurysm neck and the parent artery inflow,as well as the end diastolic velocity(EDV)at the parent artery inflow,were lower in the unstable group than those in the stable group(P＜0.05).Multivariate logistic regression analysis showed that the AR and WSS at the aneurysm neck were independent predictors of unstable IAs(P＜0.05).The combined model of WSS at the aneurysm neck and AR showed an AUC of 0.742[95％confidence interval(CI)0.608-0.875],repre-sented the highest diagnostic performance.Conclusion The hemodynamic characteristics quantified by 4D Flow MRI offer supple-mentary information for risk assessment of IAs.Combining hemodynamic and morphological characteristics is of significant value in identi-fying unstable saccular IAs.