Prediction of infarct volume and neurologic outcome by using automated multiparametric perfusion-weighted magnetic resonance imaging in a primate model of permanent middle cerebral artery occlusion
Prediction of infarct volume and neurologic outcome by using automated multiparametric perfusion-weighted magnetic resonance imaging in a primate model of permanent middle cerebral artery occlusion
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DOI：
10.1038/jcbfm.2010.106
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发表时间：
2011-02-01
影响因子：
6.3
通讯作者：
Shintaku, Katsuya
中科院分区：
文献类型：
--
作者：
Sasaki, Makoto;Kudo, Kohsuke;Shintaku, Katsuya
通过优化阈值，我们确定了灌注加权磁共振成像（PWI）参数，准确地预测最终梗死体积和神经系统的结果在灵长类动物模型的永久性大脑中动脉（MCA）闭塞。10只食蟹猴分别在使用铂线圈闭塞右侧MCA后3小时和47小时进行PWI和弥散加权成像（DWI），并在48小时处死。使用不同阈值和11个参数图自动测量PWI上低灌注区的体积，以确定最佳阈值（PWI上的平均体积与使用标本或DWI确定的平均体积之间的差异最小）。在使用去卷积技术确定的到达时间（AT）、脑血容量（CBV）、达峰时间（TTP）、达峰时间（Tmax）和脑血流量（CBF）的情况下，低灌注区的体积与梗死体积和神经功能缺损评分显著相关，但变化较小，而在平均通过时间和非去卷积CBF的情况下，观察到相关性相对较差且变化较大。在最佳阈值下，AT、CBV、TTP、T-max和去卷积CBF可以准确预测永久性MCA闭塞猴的最终梗死体积和神经功能结局。Journal of Cerebral Blood Flow & Metabolism（2011）31，448-456; doi：10.1038/jcbfm.2010.106; 2010年6月30日在线发表
By optimizing thresholds, we identified the perfusion-weighted magnetic resonance imaging (PWI) parameters that accurately predict final infarct volume and neurologic outcome in a primate model of permanent middle cerebral artery (MCA) occlusion. Ten cynomolgus monkeys underwent PWI and diffusion-weighted imaging (DWI) at 3 and 47 hours, respectively, after right MCA occlusion using platinum coils, and were killed at 48 hours. Volumes of the hypoperfused areas on PWI were automatically measured using different thresholds and 11 parametric maps to determine the optimum threshold (at which least difference was found between the average volumes on PWI and those determined using specimens or DWI). In the case of arrival time (AT), cerebral blood volume (CBV), time to peak (TTP), time to maximum (T-max), and cerebral blood flow (CBF) determined using deconvolution techniques, the volume of the hypoperfused area significantly correlated with the infarct volumes and the neurologic deficit scores with small variations, whereas in the case of mean transit time and nondeconvolution CBF, relatively poor correlations with large variations were seen. At optimum threshold, AT, CBV, TTP, T-max, and deconvolution CBF can accurately predict the final infarct volume and neurologic outcome in monkeys with permanent MCA occlusion. Journal of Cerebral Blood Flow & Metabolism (2011) 31, 448-456; doi: 10.1038/jcbfm.2010.106; published online 30 June 2010