急性缺血性脑卒中血管内取栓术中观察到的术中血管造影征象：系统评价。
Intraprocedural Angiographic Signs Observed During Endovascular Thrombectomy in Patients With Acute Ischemic Stroke: A Systematic Review.
机构信息
From the Department of Neurology, China-Japan Union Hospital of Jilin University (W.L., J.M.), Changchun, Jilin, China; The Third Clinical College of Norman Bethune (Y.W.), Jilin University, Changchun, Jilin, China; and Department of Neurology, Chinese PLA General Hospital (Z.D., J.W.), Changchun, Jilin, China.
出版信息
Neurology. 2021 Jun 8;96(23):1080-1090. doi: 10.1212/WNL.0000000000012069. Epub 2021 Apr 23.
OBJECTIVE
In the real-world practice of endovascular thrombectomy (EVT) for acute ischemic stroke (AIS), the analysis of intraprocedural angiographic signs (IPASs) still challenges neurointerventionists. This review provides insights into the significance of these subtle changes for predicting underlying etiology, technical feasibility, and patient prognosis, thus promoting the potential real-time application of these signs.
METHODS
A systematic literature search was conducted using PubMed, Ovid Medline/Embase, and Cochrane. The search focused on studies published between January 1995 and August 2020 that reported findings related to intraprocedural angiographic manifestations in endovascular recanalization therapy for AIS.
RESULTS
We identified 12 IPASs in 22 studies involving 1,683 patients. The IPASs were assigned into 3 subsets according to their clinical meanings.
CONCLUSION
The systematic analysis of IPAS in clinical trials and practice will lead to a better understanding of treatment effects, responses, and mechanisms during EVT. Studies of larger cohorts using more robust statistical methods are needed.
目的
在急性缺血性脑卒中（AIS）的血管内血栓切除术（EVT）的实际临床实践中，术中血管造影征象（IPAS）的分析仍然是神经介入医师面临的挑战。本综述深入探讨了这些细微变化在预测潜在病因、技术可行性和患者预后方面的意义，从而推动这些征象的潜在实时应用。
方法
我们使用 PubMed、Ovid Medline/Embase 和 Cochrane 进行了系统的文献检索。检索重点是 1995 年 1 月至 2020 年 8 月期间发表的与 AIS 的血管内再通治疗中术中血管造影表现相关的研究。
结果
我们在涉及 1683 名患者的 22 项研究中确定了 12 个 IPAS。根据其临床意义，将这些 IPAS 分为 3 组。
结论
对临床试验和实践中 IPAS 的系统分析将有助于更好地了解 EVT 期间的治疗效果、反应和机制。需要使用更强大的统计方法进行更大队列的研究。
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