Xu Jie, Dai Fangyu, Wang Binda, Wang Yiming, Li Jiaqian, Pan Lulan, Liu Jingjing, Liu Haipeng, He Songbin
Department of Neurology, Zhoushan Hospital, Wenzhou Medical University, Zhoushan 316000, China.
Research Centre for Intelligent Healthcare, Coventry University, Coventry CV1 5FB, UK.
Brain Sci. 2023 Jan 16;13(1):156. doi: 10.3390/brainsci13010156.
Background: Existing studies indicate that some computed tomography perfusion (CTP) parameters may predict hemorrhagic transformation (HT) after acute ischemic stroke (AIS), but there is an inconsistency in the conclusions alongside a lack of comprehensive comparison. Objective: To comprehensively evaluate the predictive value of CTP parameters in HT after AIS. Data sources: A systematical literature review of existing studies was conducted up to 1st October 2022 in six mainstream databases that included original data on the CTP parameters of HT and non-HT groups or on the diagnostic performance of relative cerebral blood flow (rCBF), relative permeability-surface area product (rPS), or relative cerebral blood volume (rCBV) in patients with AIS that completed CTP within 24 h of onset. Data Synthesis: Eighteen observational studies were included. HT and non-HT groups had statistically significant differences in CBF, CBV, PS, rCBF, rCBV, and rPS (p < 0.05 for all). The hierarchical summary receiver operating characteristic (HSROC) revealed that rCBF (area under the curve (AUC) = 0.9), rPS (AUC = 0.89), and rCBV (AUC = 0.85) had moderate diagnostic performances in predicting HT. The pooled sensitivity and specificity of rCBF were 0.85 (95% CI, 0.75−0.91) and 0.83 (95% CI, 0.63−0.94), respectively. Conclusions: rCBF, rPS, and rCBV had moderate diagnostic performances in predicting HT, and rCBF had the best pooled sensitivity and specificity.
现有研究表明,一些计算机断层扫描灌注(CTP)参数可能预测急性缺血性卒中(AIS)后的出血性转化(HT),但结论存在不一致,且缺乏全面比较。目的:全面评估CTP参数对AIS后HT的预测价值。数据来源:截至2022年10月1日,在六个主流数据库中对现有研究进行了系统的文献综述,这些数据库包括HT组和非HT组CTP参数的原始数据,或急性缺血性卒中患者在发病24小时内完成CTP时相对脑血流量(rCBF)、相对通透表面积乘积(rPS)或相对脑血容量(rCBV)的诊断性能数据。数据综合:纳入18项观察性研究。HT组和非HT组在脑血流量(CBF)、脑血容量(CBV)、通透表面积(PS)、rCBF、rCBV和rPS方面存在统计学显著差异(均p<0.05)。分层汇总接受者操作特征(HSROC)显示,rCBF(曲线下面积[AUC]=0.9)、rPS(AUC=0.89)和rCBV(AUC=0.85)在预测HT方面具有中等诊断性能。rCBF的合并敏感性和特异性分别为0.85(95%CI,0.75−0.91)和0.83(95%CI,0.63−0.94)。结论:rCBF、rPS和rCBV在预测HT方面具有中等诊断性能,且rCBF具有最佳的合并敏感性和特异性。