医学
动脉瘤
脉动流
计算流体力学
心脏病学
压力梯度
颅内压
置信区间
大脑中动脉
接收机工作特性
内科学
放射科
机械
缺血
物理
作者
Tomoaki Suzuki,Hiroyuki Takao,Takashi Suzuki,Yukinao Kambayashi,Mitsuyoshi Watanabe,Hiroki Sakamoto,Issei Kan,Kengo Nishimura,Shogo Kaku,Toshihiro Ishibashi,Satoshi Ikeuchi,Makoto Yamamoto,Yukihiko Fujii,Yuichi Murayama
出处
期刊:Neurosurgery
[Oxford University Press]
日期:2016-04-19
卷期号:79 (4): 589-595
被引量:61
标识
DOI:10.1227/neu.0000000000001232
摘要
Thin-walled regions (TWRs) of cerebral aneurysms are at high risk of rupture, and careful attention should be paid during surgical procedures. Despite this, an optimal imaging technique to estimate TWRs has not been established. Previously, pressure elevation at TWRs was reported with computational fluid dynamics (CFD) but not fully evaluated.To investigate the possibility of predicting aneurysmal TWRs at high-pressure areas with CFD.Fifty unruptured middle cerebral artery aneurysms were analyzed. Spatial and temporal maximum pressure (Pmax) areas were determined with a fluid-flow formula under pulsatile blood flow conditions. Intraoperatively, TWRs of aneurysm domes were identified as reddish areas relative to the healthy normal middle cerebral arteries; 5 neurosurgeons evaluated and divided these regions according to Pmax area and TWR correspondence. Pressure difference (PD) was defined as the degree of pressure elevation on the aneurysmal wall at Pmax and was calculated by subtracting the average pressure from the Pmax and dividing by the dynamic pressure at the aneurysm inlet side for normalization.In 41 of the 50 cases (82.0%), the Pmax areas and TWRs corresponded. PD values were significantly higher in the correspondence group than in the noncorrespondence group (P = .008). A receiver-operating characteristic curve demonstrated that PD accurately predicted TWRs at Pmax areas (area under the curve, 0.764; 95% confidence interval, 0.574-0.955; cutoff value, 0.607; sensitivity, 66.7%; specificity, 82.9%).A high PD may be a key parameter for predicting TWRs in unruptured cerebral aneurysms.CFD, computational fluid dynamicsMCA, middle cerebral arteryPave, average pressurePD, pressure differencePmax, maximum pressureTWR, thin-walled regionWSS, wall shear stress.
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