Differences in simple morphological variables in ruptured and unruptured middle cerebral artery aneurysms.

OBJECT Management of unruptured intracranial aneurysms remains controversial in neurosurgery. The contribution of morphological parameters has not been included in the treatment paradigm in a systematic manner or for any particular aneurysm location. The authors present a large sample of middle cerebral artery (MCA) aneurysms that were assessed using morphological variables to determine the parameters associated with aneurysm rupture. METHODS Preoperative CT angiography (CTA) studies were evaluated using Slicer software to generate 3D models of the aneurysms and their surrounding vascular architecture. Morphological parameters examined in each model included 5 variables already defined in the literature (aneurysm size, aspect ratio, aneurysm angle, vessel angle, and size ratio) and 3 novel variables (flow angle, distance to the genu, and parent-daughter angle). Univariate and multivariate statistical analyses were performed to determine statistical significance. RESULTS Between 2005 and 2008, 132 MCA aneurysms were treated at a single institution, and CTA studies of 79 aneurysms (40 ruptured and 39 unruptured) were analyzed. Fifty-three aneurysms were excluded because of reoperation (4), associated AVM (2), or lack of preoperative CTA studies (47). Ruptured aneurysms were associated with larger size, greater aspect ratio, larger aneurysm and flow angles, and smaller parent-daughter angle. Multivariate logistic regression revealed that aspect ratio, flow angle, and parent-daughter angle were the strongest factors associated with ruptured aneurysms. CONCLUSIONS Aspect ratio, flow angle, and parent-daughter angle are more strongly associated with ruptured MCA aneurysms than size. The association of parameters independent of aneurysm morphology with ruptured aneurysms suggests that these parameters may be associated with an increased risk of aneurysm rupture. These factors are readily applied in clinical practice and should be considered in addition to aneurysm size when assessing the risk of aneurysm rupture specific to the MCA location.

[1]  G. Rinkel,et al.  Natural history, epidemiology and screening of unruptured intracranial aneurysms. , 2008, Journal of neuroradiology. Journal de neuroradiologie.

[2]  T. Hori,et al.  Is the Aspect Ratio a Reliable Index for Predicting the Rupture of a Saccular Aneurysm? , 2001, Neurosurgery.

[3]  David A. Steinman,et al.  A Framework for Geometric Analysis of Vascular Structures: Application to Cerebral Aneurysms , 2009, IEEE Transactions on Medical Imaging.

[4]  D. Nichols,et al.  Unruptured intracranial aneurysms: natural history, clinical outcome, and risks of surgical and endovascular treatment , 2003, The Lancet.

[5]  M. L. Raghavan,et al.  Quantified aneurysm shape and rupture risk. , 2005, Journal of neurosurgery.

[6]  W M O'Fallon,et al.  The natural history of unruptured intracranial aneurysms. , 1981, The New England journal of medicine.

[7]  K. Katada,et al.  Magnitude and Role of Wall Shear Stress on Cerebral Aneurysm: Computational Fluid Dynamic Study of 20 Middle Cerebral Artery Aneurysms , 2004, Stroke.

[8]  K. Takayama,et al.  A proposed parent vessel geometry-based categorization of saccular intracranial aneurysms: computational flow dynamics analysis of the risk factors for lesion rupture. , 2005, Journal of neurosurgery.

[9]  J. Mocco,et al.  Guidelines for the surgical treatment of unruptured intracranial aneurysms: the first annual J. Lawrence pool memorial research symposium--controversies in the management of cerebral aneurysms. , 2008, Neurosurgery.

[10]  William E. Lorensen,et al.  The NA-MIC Kit: ITK, VTK, pipelines, grids and 3D slicer as an open platform for the medical image computing community , 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

[11]  Adnan Siddiqui,et al.  Size Ratio Correlates With Intracranial Aneurysm Rupture Status: A Prospective Study , 2010, Stroke.

[12]  C. Putman,et al.  Characterization of cerebral aneurysms for assessing risk of rupture by using patient-specific computational hemodynamics models. , 2005, AJNR. American journal of neuroradiology.

[13]  R. Ecker,et al.  Natural history of unruptured intracranial aneurysms. , 2004, Neurosurgical focus.

[14]  J. Mocco,et al.  MORPHOLOGY PARAMETERS FOR INTRACRANIAL ANEURYSM RUPTURE RISK ASSESSMENT , 2008, Neurosurgery.

[15]  K. Ohtomo,et al.  Vector analysis of the wall shear rate at the human aortoiliac bifurcation using cine MR velocity mapping. , 2002, AJR. American journal of roentgenology.

[16]  C. Schirmer,et al.  PREDICTION OF COMPLEX FLOW PATTERNS IN INTRACRANIAL ATHEROSCLEROTIC DISEASE USING COMPUTATIONAL FLUID DYNAMICS , 2007, Neurosurgery.

[17]  Simon Ameer-Beg,et al.  Biomedical Imaging: From Nano to Macro , 2008 .

[18]  B. Weir Unruptured intracranial aneurysms: a review. , 2002, Journal of neurosurgery.

[19]  Sujan Dhar,et al.  INFLUENCE OF INTRACRANIAL ANEURYSM‐TO‐PARENT VESSEL SIZE RATIO ON HEMODYNAMICS AND IMPLICATION FOR RUPTURE: RESULTS FROM A VIRTUAL EXPERIMENTAL STUDY , 2009, Neurosurgery.

[20]  Bu-Lang Gao,et al.  Aneurysm Inflow-Angle as a Discriminant for Rupture in Sidewall Cerebral Aneurysms: Morphometric and Computational Fluid Dynamic Analysis , 2010, Stroke.

[21]  Yuri Bazilevs,et al.  Determination of Wall Tension in Cerebral Artery Aneurysms by Numerical Simulation , 2008, Stroke.

[22]  Zhijie Wang,et al.  Complex Hemodynamics at the Apex of an Arterial Bifurcation Induces Vascular Remodeling Resembling Cerebral Aneurysm Initiation , 2007, Stroke.

[23]  A. Algra,et al.  Prevalence and risk of rupture of intracranial aneurysms: a systematic review. , 1998, Stroke.