北华大学学报（自然科学版）2025，Vol.26Issue(1)：55-59,5.DOI:10.11713/j.issn.1009-4822.2025.01.009
基于DSA及CTPI的大脑中动脉重度狭窄支架植入术高灌注脑出血术前风险预测
Preoperative Risk Prediction of Hyperperfusion Cerebral Hemorrhage for Stenting of Severe Stenosis of Middle Cerebral Artery Based on DSA and CTPI
摘要
Abstract
Objective Prediction of preoperative risk of high perfusion cerebral hemorrhage(HICH)for stenting of severe middle cerebral artery stenosis based on digital subtraction angiography(DSA)and cerebral CT perfusion imaging(CTPI).Methods One hundred and fifty-three patients with severe stenosis of the middle cerebral artery(70％to 99％stenosis)treated with stent implantation were selected,of whom,5 developed HICH(HICH group)and 148 did not develop HICH(non-HICH group).Comparative analysis of clinical baseline data,CTPI,and DSA cerebral arterial tertiary collateral circulation compensation between the two groups of patients.Measurement data were compared using t-test,and counting data were compared using Fisher test.Results Comparison of various indicators between HICH group and non-HICH group,patients had a time from onset to surgery≤21 d(P<0.05);mean transit time(MTT)and time to peak(TTP)(P<0.05),rMTT and rTTP(P<0.001);the difference between non open collateral circulation and open level Ⅲ collateral circulation was statistically significant(P<0.05).Conclusion Clinical baseline data(time from onset to surgery≤21 d),CTPI indices(MTT,TTP,rMTT,rTTP),and cerebral arterial collateral circulation compensation status(grade Ⅲ collateral circulation open,collateral circulation unopened)can be used as predictors of implantation of hyperperfusion cerebral hemorrhage with severe stenosis of the middle cerebral artery.关键词
大脑中动脉重度狭窄支架植入术/高灌注脑内出血/DSAⅢ级侧支循环/脑CT灌注成像/风险预测Key words
stenting for severe stenosis of middle cerebral artery/high perfusion intracerebral hemorrhage/DSA class Ⅲ collateral circulation/CT perfusion imaging of the brain/risk prediction分类
医药卫生引用本文复制引用
丁奇,王立忠,王翀昊..基于DSA及CTPI的大脑中动脉重度狭窄支架植入术高灌注脑出血术前风险预测[J].北华大学学报（自然科学版）,2025,26(1):55-59,5.基金项目
河北省技术创新引导计划项目(18247788D). （18247788D）
