PDF(Pubmed)
Abstract：
UNASSIGNED: Identifying the etiology of acute ischemic stroke (AIS) before endovascular treatment (EVT) is important but challenging. In CT perfusion imaging processed by perfusion software, we observed a phenomenon called patchy profile sign (PPS), that is, the hypoperfusion morphology in RAPID software is a discontinuous sheet pattern. This phenomenon is predominantly observed in patients diagnosed with intracranial atherosclerotic stenosis (ICAS). The study intends to assess whether the PPS can be used to differentiate ICAS from intracranial embolism.
UNASSIGNED: Patients with AIS due to M1 segment occlusion of the MCA who underwent mechanical thrombectomy were retrospectively enrolled. The receiver operating characteristic (ROC) curve analysis was performed to assess the value of PPS in predicting ICAS. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of the PPS for prediction of ICAS were calculated.
UNASSIGNED: A total of 51 patients were included in the study. The PPS was observed in 10 of 19 (52.6%) patients with ICAS, and in 2 of 32 (6.3%) patients with intracranial embolism (p < 0.001). Interobserver agreement for identifying PPS was excellent (κ = 0.944). The sensitivity, specificity, PPV, NPV, and accuracy of the PPS for predicting ICAS were 52.6, 93.8, 83.3, 76.9, and 78.4%, respectively.
UNASSIGNED: The PPS on RAPID software is an imaging marker with high specificity for ICAS. Larger sample sizes are imperative to validate the findings.
UNASSIGNED: Patients with AIS due to M1 segment occlusion of the MCA who underwent mechanical thrombectomy were retrospectively enrolled. The receiver operating characteristic (ROC) curve analysis was performed to assess the value of PPS in predicting ICAS. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of the PPS for prediction of ICAS were calculated.
UNASSIGNED: A total of 51 patients were included in the study. The PPS was observed in 10 of 19 (52.6%) patients with ICAS, and in 2 of 32 (6.3%) patients with intracranial embolism (p < 0.001). Interobserver agreement for identifying PPS was excellent (κ = 0.944). The sensitivity, specificity, PPV, NPV, and accuracy of the PPS for predicting ICAS were 52.6, 93.8, 83.3, 76.9, and 78.4%, respectively.
UNASSIGNED: The PPS on RAPID software is an imaging marker with high specificity for ICAS. Larger sample sizes are imperative to validate the findings.
摘要：
■在血管内治疗（EVT）之前确定急性缺血性中风（AIS）的病因很重要，但具有挑战性。在灌注软件处理的CT灌注成像中,我们观察到一种叫做斑驳轮廓符号(PPS)的现象，也就是说,RAPID软件中的灌注不足形态是不连续的片状模式。这种现象主要在诊断为颅内动脉粥样硬化狭窄（ICAS）的患者中观察到。该研究旨在评估PPS是否可用于区分ICAS和颅内栓塞。
■回顾性纳入因MCAM1段闭塞而接受机械血栓切除术的AIS患者。进行受试者工作特征（ROC）曲线分析以评估PPS在预测ICAS中的价值。灵敏度,特异性，阳性预测值(PPV)，负预测值(NPV)，并计算了PPS预测ICAS的准确性。
■总共51名患者被纳入研究。19例ICAS患者中有10例(52.6%)出现PPS,32例颅内栓塞患者中有2例（6.3％）（p<0.001）。观察者间鉴定PPS的一致性非常好(κ=0.944)。敏感性,特异性，PPV,NPV,PPS预测ICAS的准确性分别为52.6、93.8、83.3、76.9和78.4％，分别。
■RAPID软件上的PPS是对ICAS具有高特异性的成像标记。为了验证这些发现，必须有更大的样本量。
■回顾性纳入因MCAM1段闭塞而接受机械血栓切除术的AIS患者。进行受试者工作特征（ROC）曲线分析以评估PPS在预测ICAS中的价值。灵敏度,特异性，阳性预测值(PPV)，负预测值(NPV)，并计算了PPS预测ICAS的准确性。
■总共51名患者被纳入研究。19例ICAS患者中有10例(52.6%)出现PPS,32例颅内栓塞患者中有2例（6.3％）（p<0.001）。观察者间鉴定PPS的一致性非常好(κ=0.944)。敏感性,特异性，PPV,NPV,PPS预测ICAS的准确性分别为52.6、93.8、83.3、76.9和78.4％，分别。
■RAPID软件上的PPS是对ICAS具有高特异性的成像标记。为了验证这些发现，必须有更大的样本量。
