西安交通大学学报（医学版）2025，Vol.46Issue(6)：910-915,6.DOI:10.7652/jdyxb202506003
自动化评估软件在优化脑卒中取栓流程中的应用
Application of automated assessment software in optimizing thrombectomy workflow for stroke
摘要
Abstract
Objective To investigate whether the application of automated software for computed tomography angiography(CTA)and computed tomography perfusion imaging(CTP)can improve in-hospital workflow for endovascular treatment(EVT)in acute ischemic stroke patients.Methods We included patients with acute ischemic stroke who received CTA and CTP evaluation followed by EVT through the stroke emergency pathway at the Affiliated Hospital of Southwest Medical University between January 1,2020 and December 30,2022.The patients were divided into two groups:control group and artificial intelligence(Al)group based on whether automated software was used for assessment.The control group consisted of patients who underwent manual post-processing of multimodal imaging before June 2021,while the AI group was composed of patients whose imaging was processed with automated software from July 2021 onwards.The primary outcome was door-to-puncture time(DPT),and the secondary outcome was the 90-day modified Rankin Scale(mRS)score.Results A total of 312 patients were included,with 145 in the control group and 167 in the AI group.The median age of all the patients was 68 years(range:58-74 years),and 55.4％(173 patients)were male.The median National Institutes of Health Stroke Scale(NIHSS)score at presentation was 16 scores(range:12-19 scores).The median DPT was reduced from 110 min(range:80-150 min)before the use of automated software to 95 min(range:65-125 min)after its implementation(P＜0.001).However,there was no significant difference in the proportion of patients achieving functional independence(mRS score of 0-2)between the two groups(39.3％vs.41.3％,P=0.719).Conclusion The application of multimodal CT automated software improves the in-hospital workflow for acute ischemic stroke patients by reducing the time to EVT.However,the software did not significantly impact neurological functional outcomes as measured by the mRS.关键词
脑卒中/取栓/人工智能/血管内治疗/预后Key words
stroke/thrombectomy/artificial intelligence/endovascular treatment/prognosis分类
临床医学引用本文复制引用
严小览,邵亚,肖莉,袁秋彤,郭宝仪,游雨萍,汪丽娟,袁正洲..自动化评估软件在优化脑卒中取栓流程中的应用[J].西安交通大学学报（医学版）,2025,46(6):910-915,6.基金项目
甘肃省卫生健康行业科研计划项目(No.GSWSKY2022-27)Supported by Health Industry Research Program of Gansu Province(No.GSWSKY2022-27) （No.GSWSKY2022-27）
