A scoring system to discriminate blood blister-like aneurysms: a multidimensional study using patient-specific model
A scoring system to discriminate blood blister-like aneurysms: a multidimensional study using patient-specific model
复制标题
区分血泡样动脉瘤的评分系统：使用患者特异性模型的多维研究
DOI：
10.1007/s10143-020-01465-2
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发表时间：
2021-01
影响因子：
2.8
通讯作者：
Wang Shuo
中科院分区：
文献类型：
--
作者：
Chen Shanwen;Liu Qingyuan;Ren Baogang;Li Maogui;Jiang Pengjun;Yang Yi;Wang Nuochuan;Zhang Yanan;Gao Bin;Cao Yong;Wang Shuo
术前鉴别血疱样动脉瘤（BBAs）可以帮助神经外科医生做出临床决策。本研究的目的是探讨BBAs的特征，并建立一个有用的工具来区分BBAs。本研究回顾了我们机构的颈内动脉小/中位、半球形和宽颈动脉瘤患者。通过术中发现确定了BBA。使用患者特定模型进行血流动力学分析。采用Logistic回归分析探讨BBAs的独立危险因素。建立了判别BBA的评分系统，并采用受试者工作特征（ROC）分析其预测值。共入组了67个动脉瘤，包括21个BBA。结果显示，颈动脉瘤与非颈动脉瘤的长宽比（AR）、高宽比、动脉瘤夹角（AA）、壁面剪应力梯度（WSSG）和标准化壁面剪应力平均值差异均有统计学意义。多因素Logistic回归分析显示AR（OR = 0.29，p = 0.021）、WSSG（OR = 1.54，p = 0.017）和AA（OR = 2.49，p = 0.039）是BBA的独立危险因素。利用这些参数建立了一个评分系统，有效地区分了BBA（AUC = 0.931，p < 0.01）。我们的多维评分系统可以有效地帮助区分宽颈非BBAs的BBAs。
Presurgical discrimination of blood blister-like aneurysms (BBAs) can assist neurosurgeons in clinical decision-making. The aim of this study was to investigate the characteristics of BBAs and construct a useful tool to distinguish BBAs. This study reviewed patients with small/median, hemispherical, and wide-necked aneurysms of the internal carotid artery in our institution. BBAs were identified via their intraoperative findings. A hemodynamic analysis was performed using a patient-specific model. The independent risk factors of BBAs were investigated using a logistic analysis. A scoring system was then established to discriminate BBAs, in which its predicting value was analyzed using receiver operating characteristic (ROC) analysis. A total of 67 aneurysms comprising 21 BBAs were enrolled. Comparing features between BBAs and non-BBAs, statistical significances were found in the aspect ratio (AR), height-to-width ratio, aneurysm angle (AA), wall shear stress gradient (WSSG), and normalized wall shear stress average. A multivariate logistic analysis identified AR (OR = 0.29,p= 0.021), WSSG (OR = 1.54,p= 0.017) and AA (OR = 2.49,p= 0.039) as independent risk factors for BBAs. A scoring system was constructed using these parameters, effectively distinguishing BBAs (AUC = 0.931,p< 0.01). Our multidimensional scoring system may effectively assist in the discrimination of BBAs from wide-necked non-BBAs.
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影响因子：
4.1
作者：
Sim, Sook Young;Shin, Yong Sam;Cho, Ki Hong
通讯作者：
Cho, Ki Hong
影响因子：
2.4
作者：
Tegeler, Charles H.;Crutchfield, Kevin;Evans, Greg
通讯作者：
Evans, Greg
影响因子：
2
作者：
Nishikawa, Hirofumi;Shimizu, Shigetoshi;Suzuki, Hidenori
通讯作者：
Suzuki, Hidenori
影响因子：
6.9
作者：
Etminan, Nima;Buchholz, Bruce A.;Dreier, Rita;Bruckner, Peter;Torner, James C.;Steiger, Hans-Jakob;Haenggi, Daniel;Macdonald, R. Loch
通讯作者：
Macdonald, R. Loch
影响因子：
4.1
作者：
NAKAGAWA, F;KOBAYASHI, S;SUGITA, K
通讯作者：
SUGITA, K