BACKGROUND AND PURPOSE: We determined which hemodynamic parameter independently characterizes the rupture status of middle cerebral artery (MCA) aneurysms using computational fluid dynamics analysis. METHODS: In 106 patient-specific geometries of MCA aneurysms (43 ruptured, 63 unruptured), morphological and hemodynamic parameters were compared between the ruptured and unruptured groups. Multivariate logistic regression analysis was performed to determine parameters that independently characterized the rupture status of MCA aneurysms. RESULTS: Univariate analyses showed that the aspect ratio, wall shear stress (WSS), normalized WSS, oscillatory shear index, WSS gradient, and aneurysm-formation index were significant parameters. The size of the aneurysmal dome and the gradient oscillatory number were not significantly different between the 2 groups. With multivariate analyses, only lower WSS was significantly associated with the rupture status of MCA aneurysms. CONCLUSIONS: WSS may be the most reliable parameter characterizing the rupture status of MCA aneurysms.
BACKGROUND AND PURPOSE: We determined which hemodynamic parameter independently characterizes the rupture status of middle cerebral artery (MCA) aneurysms using computational fluid dynamics analysis. METHODS: In 106 patient-specific geometries of MCA aneurysms (43 ruptured, 63 unruptured), morphological and hemodynamic parameters were compared between the ruptured and unruptured groups. Multivariate logistic regression analysis was performed to determine parameters that independently characterized the rupture status of MCA aneurysms. RESULTS: Univariate analyses showed that the aspect ratio, wall shear stress (WSS), normalized WSS, oscillatory shear index, WSS gradient, and aneurysm-formation index were significant parameters. The size of the aneurysmal dome and the gradient oscillatory number were not significantly different between the 2 groups. With multivariate analyses, only lower WSS was significantly associated with the rupture status of MCA aneurysms. CONCLUSIONS: WSS may be the most reliable parameter characterizing the rupture status of MCA aneurysms.
Authors: A Sejkorová; K D Dennis; H Švihlová; O Petr; G Lanzino; A Hejčl; D Dragomir-Daescu Journal: Neurosurg Rev Date: 2016-11-24 Impact factor: 3.042
Authors: Sylvia Saalfeld; Philipp Berg; Annika Niemann; Maria Luz; Bernhard Preim; Oliver Beuing Journal: Int J Comput Assist Radiol Surg Date: 2018-08-29 Impact factor: 2.924
Authors: Felicitas J Detmer; Bong Jae Chung; Carlos Jimenez; Farid Hamzei-Sichani; David Kallmes; Christopher Putman; Juan R Cebral Journal: Neuroradiology Date: 2018-11-19 Impact factor: 2.804
Authors: M R Levitt; P M McGah; A Aliseda; P D Mourad; J D Nerva; S S Vaidya; R P Morton; B V Ghodke; L J Kim Journal: AJNR Am J Neuroradiol Date: 2013-07-18 Impact factor: 3.825