From the Department of Neurosurgery (K.F.), Hokuriku Central Hospital, Toyama, Japan
Department of Neurosurgery (T.U., K.M., S.T., I.N., N.U., M.N.), Kanazawa University School of Medicine, Ishikawa, Japan.
AJNR Am J Neuroradiol. 2019 Dec;40(12):2111-2116. doi: 10.3174/ajnr.A6322. Epub 2019 Nov 21.
The complexity and instability of the vortex flow in aneurysms are factors related to the rupture risk of unruptured cerebral aneurysms. We identified aneurysm vortex cores on 4D flow MR imaging and examined the relationship of these factors with the characteristics of cerebral aneurysms.
We subjected 40 aneurysms (37 unruptured, 3 ruptured) to 4D flow MR imaging. We visualized streamlines with velocities below the threshold-that is, a percentage value of the aneurysm maximum inflow velocity-and progressively decreased the threshold to identify vortex cores as thin, streamline bundles with minimum velocities. Complexity and stability were compared in aneurysms with a smooth surface and those with blebs or daughter sacs.
The threshold for visualizing vortex cores ranged from 3% to 13% of the maximum inflow velocity. Vortex cores could be visualized in 38 aneurysms; in 2, they were not visualized through the cardiac cycle. A simple flow pattern (single vortex core) was identified in 27 aneurysms; the other 13 exhibited a complex flow pattern. The cores were stable in 32 and unstable in 8 aneurysms. Significantly more aneurysms with-than-without blebs or daughter sacs had a complex flow pattern ( = .006). Of the 3 ruptured aneurysms, 1 aneurysm had an unstable vortex core; in the other 2, the vortex core was not visualized.
The identification of vortex cores on 4D flow MR imaging may help to stratify the rupture risk of unruptured cerebral aneurysms.
动脉瘤内涡流的复杂性和不稳定性是与未破裂脑动脉瘤破裂风险相关的因素。我们在 4D 流磁共振成像上识别了动脉瘤涡流核心,并研究了这些因素与脑动脉瘤特征的关系。
我们对 40 个动脉瘤(37 个未破裂,3 个破裂)进行了 4D 流磁共振成像。我们可视化了速度低于阈值的流线,即动脉瘤最大流入速度的百分比值,并逐步降低阈值以识别涡流核心,即具有最小速度的薄流线束。比较了表面光滑的动脉瘤与有小泡或子囊的动脉瘤的复杂性和稳定性。
可视化涡流核心的阈值范围为最大流入速度的 3%至 13%。38 个动脉瘤中可以可视化涡流核心;在 2 个动脉瘤中,它们没有通过心动周期可视化。27 个动脉瘤中识别出简单的血流模式(单个涡流核心);其余 13 个动脉瘤表现出复杂的血流模式。32 个核心是稳定的,8 个核心是不稳定的。有小泡或子囊的动脉瘤比没有小泡或子囊的动脉瘤更倾向于表现出复杂的血流模式(=0.006)。在 3 个破裂的动脉瘤中,1 个动脉瘤的涡流核心不稳定;在另外 2 个动脉瘤中,没有可视化涡流核心。
4D 流磁共振成像上涡流核心的识别可能有助于分层未破裂脑动脉瘤的破裂风险。