Takanori Sano1, Fujimaro Ishida2, Masanori Tsuji2, Kazuhiro Furukawa3, Shinichi Shimosaka2, Hidenori Suzuki3. 1. Department of Neurosurgery, Mie University Graduate School of Medicine, Tsu, Mie, Japan; Department of Neurosurgery, Ise Red Cross Hospital, Ise, Mie, Japan. Electronic address: tsano126@clin.medic.mie-u.ac.jp. 2. Department of Neurosurgery, Mie Chuo Medical Center, National Hospital Organization, Tsu, Mie, Japan. 3. Department of Neurosurgery, Mie University Graduate School of Medicine, Tsu, Mie, Japan.
Abstract
BACKGROUND: Studies have demonstrated certain hemodynamic characteristics featuring the rupture status of cerebral aneurysms using computational fluid dynamics. These studies were conducted based on the comparison of a large number of ruptured and unruptured aneurysms. However, not only aneurysm size and location but also perianeurysm environment, such as hemorrhage and intracranial pressure, affect hemodynamic changes. We hypothesized that a case in which ruptured and unruptured cerebral aneurysms simultaneously exist in the same location would be an ideal model to demonstrate hemodynamic characteristics of the rupture status. CASE DESCRIPTION: We report 2 rare cases with subarachnoid hemorrhage, each of which involved 2 aneurysms at the common parent artery. One patient had 2 anterior communicating artery aneurysms, and the other patient had 2 middle cerebral artery aneurysms. Preoperative morphologic and hemodynamic examinations were performed to diagnose the rupture status of the 2 aneurysms, and each ruptured aneurysm was then confirmed during surgical clipping. Morphologic evaluation revealed higher shape indexes in both ruptured aneurysms. Lower wall shear stress, wall shear stress gradient, and aneurysm formation indicator were observed in both ruptured aneurysms. In contrast, ruptured aneurysms had a higher oscillatory shear index and oscillatory velocity index, which was the novel hemodynamic parameter to quantify the fluctuation of flow velocity vector. CONCLUSIONS: Quantitative characterization of the hemodynamic environment can distinguish the rupture status by using appropriate models minimizing certain bias caused by subarachnoid hemorrhage and aneurysm location.
BACKGROUND: Studies have demonstrated certain hemodynamic characteristics featuring the rupture status of cerebral aneurysms using computational fluid dynamics. These studies were conducted based on the comparison of a large number of ruptured and unruptured aneurysms. However, not only aneurysm size and location but also perianeurysm environment, such as hemorrhage and intracranial pressure, affect hemodynamic changes. We hypothesized that a case in which ruptured and unruptured cerebral aneurysms simultaneously exist in the same location would be an ideal model to demonstrate hemodynamic characteristics of the rupture status. CASE DESCRIPTION: We report 2 rare cases with subarachnoid hemorrhage, each of which involved 2 aneurysms at the common parent artery. One patient had 2 anterior communicating artery aneurysms, and the other patient had 2 middle cerebral artery aneurysms. Preoperative morphologic and hemodynamic examinations were performed to diagnose the rupture status of the 2 aneurysms, and each ruptured aneurysm was then confirmed during surgical clipping. Morphologic evaluation revealed higher shape indexes in both ruptured aneurysms. Lower wall shear stress, wall shear stress gradient, and aneurysm formation indicator were observed in both ruptured aneurysms. In contrast, ruptured aneurysms had a higher oscillatory shear index and oscillatory velocity index, which was the novel hemodynamic parameter to quantify the fluctuation of flow velocity vector. CONCLUSIONS: Quantitative characterization of the hemodynamic environment can distinguish the rupture status by using appropriate models minimizing certain bias caused by subarachnoid hemorrhage and aneurysm location.
Authors: Philipp Berg; Samuel Voß; Gábor Janiga; Sylvia Saalfeld; Aslak W Bergersen; Kristian Valen-Sendstad; Jan Bruening; Leonid Goubergrits; Andreas Spuler; Tin Lok Chiu; Anderson Chun On Tsang; Gabriele Copelli; Benjamin Csippa; György Paál; Gábor Závodszky; Felicitas J Detmer; Bong J Chung; Juan R Cebral; Soichiro Fujimura; Hiroyuki Takao; Christof Karmonik; Saba Elias; Nicole M Cancelliere; Mehdi Najafi; David A Steinman; Vitor M Pereira; Senol Piskin; Ender A Finol; Mariya Pravdivtseva; Prasanth Velvaluri; Hamidreza Rajabzadeh-Oghaz; Nikhil Paliwal; Hui Meng; Santhosh Seshadhri; Sreenivas Venguru; Masaaki Shojima; Sergey Sindeev; Sergey Frolov; Yi Qian; Yu-An Wu; Kent D Carlson; David F Kallmes; Dan Dragomir-Daescu; Oliver Beuing Journal: Int J Comput Assist Radiol Surg Date: 2019-05-03 Impact factor: 2.924
Authors: Sylvia Saalfeld; Janneck Stahl; Jana Korte; Laurel Morgan Miller Marsh; Bernhard Preim; Oliver Beuing; Yurii Cherednychenko; Daniel Behme; Philipp Berg Journal: Front Neurol Date: 2022-01-24 Impact factor: 4.003