Abstract

Background and PurposeThe authors evaluated the impact of morphologic and hemodynamic factors on multiple intracranial aneurysms and aimed to identify which parameters can be reliable indexes as one aneurysm ruptured, and the others did not.MethodsBetween June 2011 and May 2014, 69 patients harboring multiple intracranial aneurysms (69 ruptured and 86 unruptured) were analyzed from 3D-digital subtraction angiography (DSA) images and computational fluid dynamics (CFD). Morphologic and hemodynamic parameters were evaluated for significance with respect to rupture. Receiver operating characteristic (ROC) analysis identified area under the curve (AUC) and optimal thresholds separating ruptured from unruptured intracranial aneurysms for each parameter. Significant parameters were examined by binary logistic regression analysis to identify independent discriminators.ResultsNine morphologic (size, neck width, surface area, volume, diameter of parent arteries, aspect ratio, size ratio, lateral/bifurcation type and regular/irregular type) and 6 hemodynamic (WSSmean, WSSmin, OSI, LSA, flow stability and flow complexity) parameters achieved statistical significance (p<0.05). Six morphologic (size, surface area, volume, aspect ratio, size ratio and regular/irregular type) and five hemodynamic (WSSmean, WSSmin, LSA, flow stability and flow complexity) parameters had high AUC values (AUC>0.7). By binary logistic regression analysis, large aspect ratio and low WSSmean were the independently significant rupture factors (AUC, 0.924; 95% CI, 0.883–0.965).ConclusionsLarge aspect ratio and low WSSmean were independently associated with the rupture status of multiple intracranial aneurysms.

Highlights

  • Intracranial aneurysms are pathological dilatations of the cerebral arteries, which are present in 2%–5% of the general population and the annual risk of rupture was 0.7%–1.9%, causing subarachnoid hemorrhage (SAH) [1]

  • By binary logistic regression analysis, large aspect ratio and low WSSmean were the independently significant rupture factors (AUC, 0.924; 95% confidence interval (CI), 0.883–0.965)

  • Large aspect ratio and low WSSmean were independently associated with the rupture status of multiple intracranial aneurysms

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Summary

Introduction

Intracranial aneurysms are pathological dilatations of the cerebral arteries, which are present in 2%–5% of the general population and the annual risk of rupture was 0.7%–1.9%, causing subarachnoid hemorrhage (SAH) [1]. Hemodynamics play a fundamental role in aneurismal rupture and computational fluid dynamics (CFD) has become a popular tool for studying hemodynamics [13,14,15,16,17,18]. It is largely unknown whether hemodynamic factors are involved in modulating the risk of rupture in multiple intracranial aneurysms. A comparison of morphologic and hemodynamic factors between ruptured and unruptured multiple intracranial aneurysms is of great value, since the findings may provide an important reference for neurosurgeons. The authors evaluated the impact of morphologic and hemodynamic factors on multiple intracranial aneurysms and aimed to identify which parameters can be reliable indexes as one aneurysm ruptured, and the others did not

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