南方医科大学学报2020，Vol.40Issue(1)：1-5,5.DOI:10.12122/j.issn.1673-4254.2020.01.01
基于动脉自旋标记与弥散加权成像的ASPECTS评分不匹配可以指导醒后卒中患者的机械取栓治疗
Mismatch of ASPECTS based on arterial spin labeling and diffusion-weighted imaging as an indicator for mechanical thrombectomy in patients with wake-up stroke
摘要
Abstract
Objective To retrospectively analyze the outcomes of wake-up stroke (WUS) patients with occlusion of large vessel occlusion (LVO), who were selected for mechanical thrombectomy according to the mismatch of Alberta Stroke Program Early CT Score (ASPECTS) based on arterial spin labeling (ASL) and diffusion-weighted image (DWI) on admission magnetic resonance (MR) scans. Methods Twelve consecutive WUS patients with acute LVO of the anterior circulation undergoing MR scans with ASL and DWI prior to thrombectomy were retrospectively evaluated. The mismatch of ASPECTS was defined as the difference between ASL-ASPECTS and DWI-ASPECTS, and a higher score indicates a greater mismatch. Results The procedures led to successful reperfusion in all the cases (Thrombolysis in Cerebral Infarction Grade 2b-3). Eleven patients (91.7％) had significantly decreased National Institute of Health Stroke scale (NIHSS) score at discharge. A mRS score of≤2 at 90 days was achieved in 8 of the 12 patients (66.7％). Conclusion The mismatch between ASPECTS assessed based on ASL and DWI can detect a true mismatch in patients with acute LVO of the anterior circulation, and can be used for rapid screening of patients eligible for thrombectomy.关键词
动脉取栓术/动脉自旋标记/弥散加权成像/不匹配Key words
thrombectomy/arterial spin labeling/diffusion-weighted imaging/mismatch引用本文复制引用
王冬梅,姬仲,郝鹏,王梦瑶,林镇洲,周亮,范祖森,潘越,张晓梅,潘速跃..基于动脉自旋标记与弥散加权成像的ASPECTS评分不匹配可以指导醒后卒中患者的机械取栓治疗[J].南方医科大学学报,2020,40(1):1-5,5.基金项目
广东省援疆农村科技(特派员)项目(KTP20190278) （特派员）
国家卫生健康委技术推广扶贫试点项目(2019JSTG31)Supported by Guangdong Province Aid of Xinjiang Rural Science and Technology Development (Special Commissioner) Project (KTP20190278) and Pilot Project of Technology Promotion and Poverty Alleviation by National Health Commission (2019JSTG31). （2019JSTG31）
