Hirai Sakyo, Sato Hirotaka, Yamamura Toshihiro, Kato Koichi, Ishikawa Mariko, Sagawa Hirotaka, Aoyama Jiro, Fujii Shoko, Fujita Kyohei, Arai Toshinari, Sumita Kazutaka
Department of Endovascular Surgery, Tokyo Medical and Dental University, Tokyo, Japan.
Department of Neurosurgery, Soka Municipal Hospital, Soka, Saitama, Japan.
J Neuroendovasc Ther. 2022;16(12):577-585. doi: 10.5797/jnet.oa.2022-0026. Epub 2022 Jul 30.
CT perfusion (CTP) provides various hemodynamic parameters. However, it is unclear which CTP parameters are useful in predicting clinical outcome in patients with acute ischemic stroke (AIS).
Between February 2019 and June 2021, patients with anterior circulation large-vessel occlusion who achieved successful recanalization within 8 hours after stroke onset were included. The relative CTP parameter values analyzed by the reformulated singular value decomposition (SVD) method in the affected middle cerebral artery territories compared to those in the unaffected side were calculated. In addition, the ischemic core volume (ICV) was evaluated using a Bayesian Vitrea. The final infarct volume (FIV) was assessed by 24-hour MRI. The correlation between these CTP-derived values and clinical outcome was assessed.
Forty-two patients were analyzed. Among the CTP-related parameters, the ICV, relative cerebral blood volume (rCBV), and relative mean transit time (rMTT) showed a strong correlation with the FIV (ρ = 0.74, p <0.0001; ρ = -0.67, p <0.0001; and ρ = -0.66, p <0.0001, respectively). In multivariate analysis, rCBV, rMTT, and ICV were significantly associated with good functional outcome, which was defined as a modified Rankin Scale score ≤2 (OR, 6.87 [95% CI, 1.20-39.30], p = 0.0303; OR, 11.27 [95% CI, 0.97-130.94], p = 0.0269; and OR, 36.22 [95% CI, 2.78-471.18], p = 0.0061, respectively).
Among the CTP parameters analyzed by the SVD deconvolution algorithms, rCBV and rMTT could be useful imaging predictors of response to recanalization in patients with AIS, and the performances of these variables were similar to that of the ICV calculated by the Bayesian Vitrea.
CT灌注成像(CTP)可提供多种血流动力学参数。然而,尚不清楚哪些CTP参数可用于预测急性缺血性卒中(AIS)患者的临床结局。
纳入2019年2月至2021年6月期间发病8小时内实现成功再通的前循环大血管闭塞患者。计算通过重新制定的奇异值分解(SVD)方法分析的患侧大脑中动脉区域与未患侧相比的相对CTP参数值。此外,使用贝叶斯玻璃体评估缺血核心体积(ICV)。通过24小时磁共振成像评估最终梗死体积(FIV)。评估这些CTP衍生值与临床结局之间的相关性。
分析了42例患者。在CTP相关参数中,ICV、相对脑血容量(rCBV)和相对平均通过时间(rMTT)与FIV呈强相关性(分别为ρ = 0.74,p <0.0001;ρ = -0.67,p <0.0001;ρ = -0.66,p <0.0001)。在多变量分析中,rCBV、rMTT和ICV与良好功能结局显著相关,良好功能结局定义为改良Rankin量表评分≤2(OR分别为6.87 [95% CI,1.20 - 39.30],p = 0.0303;OR为11.27 [95% CI,0.97 - 130.94],p = 0.0269;OR为36.22 [95% CI,2.78 - 471.18],p = 0.0061)。
在通过SVD反卷积算法分析的CTP参数中,rCBV和rMTT可能是AIS患者再通反应的有用影像学预测指标,且这些变量的性能与通过贝叶斯玻璃体计算的ICV相似。