Morphologic and Hemodynamic Analysis in the Patients with Multiple Intracranial Aneurysms: Ruptured versus Unruptured

• Published in: PloS one Vol. 10; no. 7; p. e0132494
• Main Authors: Jing, Linkai, Fan, Jixing, Wang, Yang, Li, Haiyun, Wang, Shengzhang, Yang, Xinjian, Zhang, Ying
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 06.07.2015; Public Library of Science (PLoS)
• Subjects: Adult; Aged; Aged, 80 and over; Aneurysm; Aneurysm, Ruptured - pathology; Aneurysm, Ruptured - physiopathology; Aneurysms; Angiography; Arteries; Aspect ratio; Bifurcations; Cerebrovascular Circulation; Complexity; Computational fluid dynamics; Computer applications; Digital imaging; Discriminators; Female; Flow; Flow stability; Fluid dynamics; Hemodynamics; Humans; Hydrodynamics; Intracranial Aneurysm - pathology; Intracranial Aneurysm - physiopathology; Male; Middle Aged; Models, Cardiovascular; Neck; Neurosurgery; Normal distribution; Parameter identification; Patients; Regression analysis; Retrospective Studies; Reynolds number; Rupture; Rupturing; Shear stress; Shear stresses; Statistical analysis; Surface area; Veins & arteries
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0132494

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. Between 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. Nine 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). Large aspect ratio and low WSSmean were independently associated with the rupture status of multiple intracranial aneurysms.