Chen Dan, Chen Wenhuo, Nguyen Thanh N, Yi Tingyu, Zhang Luyun, Guo Xinze, Chang Yanting, Bai Xue, Deng Bowen, Zhang Yang, Zhao Yang, Qiu Tingting, Wang Yu, Sui Yi
Department of Public Health, Taizhou Second People's Hospital, Taizhou, Zhejiang, China.
Department of Neurointervention, Zhangzhou Affiliated Hospital of Fujian Medical University, Fujian, China.
Sci Rep. 2025 Apr 15;15(1):12907. doi: 10.1038/s41598-025-96340-9.
Accurate estimate of ischemic core volume (ICV) and penumbra volume (PV) is important in decision-making for endovascular therapies (EVT) and predicting the patient's clinical outcome. In this study, we compared the performance of a novel automated CT perfusion software UGuard and the Rapid Processing of Perfusion and Diffusion (RAPID). UGuard and RAPID had strong agreement with regard to ICV (ICC 0.92, 95% CI 0.89 - 0.94) and PV (ICC 0.8, 95% CI 0.73 - 0.85) measurements. ICVs measured by UGuard or RAPID were similar in predicting favorable outcome (AUC 0.72 vs. 0.70, P = 0.43), with UGuard measurements having higher specificity. After adjusting for significant clinical covariates, the predictive performance of favorable outcome was excellent for each of the six models incorporating ICV and PV, and the model which incorporated ICV and PV measured by UGuard software package showed the best predictive performance. We concluded that the ICV and PV of CT perfusion images measured by UGuard software package, as well as the capacity to predict favorable outcome of patients following EVT, were comparable to RAPID.
准确估计缺血核心体积（ICV）和半暗带体积（PV）对于血管内治疗（EVT）的决策制定以及预测患者的临床结局至关重要。在本研究中，我们比较了一种新型自动CT灌注软件UGuard和灌注与扩散快速处理软件（RAPID）的性能。UGuard和RAPID在ICV（组内相关系数0.92，95%可信区间0.89 - 0.94）和PV（组内相关系数0.8，95%可信区间0.73 - 0.85）测量方面具有高度一致性。由UGuard或RAPID测量的ICV在预测良好结局方面相似（曲线下面积0.72对0.70，P = 0.43），其中UGuard测量具有更高的特异性。在对显著的临床协变量进行校正后，包含ICV和PV的六个模型中每个模型对良好结局的预测性能都非常出色，并且包含由UGuard软件包测量的ICV和PV的模型显示出最佳的预测性能。我们得出结论，由UGuard软件包测量的CT灌注图像的ICV和PV，以及预测EVT后患者良好结局的能力，与RAPID相当。
