CT与MRI对诊断缺血性脑卒中患者的临床应用价值
Clinical Utility of CT and MRI for Diagnosing Patients with Ischemic Stroke
赵烨1
作者信息
- 1. 阜宁县人民医院影像科(江苏阜宁 224400)
- 折叠
摘要
目的:探讨CT及MRI在缺血性脑卒中临床诊断中的应用价值.方法:选择2020年2月至2022年2月本院接收的92例疑似缺血性脑卒中患者作为研究对象,对其开展CT、MRI检查,以数字减影血管造影为金标准,对比CT、MRI在缺血性脑卒中诊断中的效能.结果:数字减影血管造影结果显示,共检出41例阳性和51例阴性.CT诊断符合率为77.17％,与MRI的92.39％相比较低(x2=8.256;P=0.004);CT诊断的灵敏度为65.85％,低于MRI的90.24％(P＜0.05).CT诊断的特异度为86.27％,与MRI的94.12％相比差异无统计学意义(P＞0.05).缺血性脑卒中患者CT影像多呈现出致密动脉征,大脑中部及颈内动脉密度明显增高,其中起病至入院时间＞24h的患者脑实质可见片状低密度影.缺血性脑卒中患者MRI影像可见,超急性期患者DWI多呈现明显高信号,急性期患者T1WI呈现低信号、T2WI呈高信号.结论:CT能够呈现缺血性脑卒中患者脑部缺血病灶密度变化,MRI影像可反映患者缺血病灶部位脑血流情况.与CT相比,MRI在缺血性脑卒中临床诊断中的作用较为突出.
Abstract
Objective:To explore the application value of CT and MRI in the clinical diagnosis of ischemic stroke.Methods:92 patients with suspected ischemic stroke from February 2020 to February 2022 were selected with CT and MRI,and the efficacy of CT and MRI in the diagnosis of ischemic stroke was compared.Results:Digital subtraction angiography showed 41 positive and 51 negative.The concordance rate for CT diagnosis was 77.17％,compared with 92.39％for MRI(x2=8.256;P=0.004);the sensitivity for CT diagnosis was 65.85％,which was lower than 90.24％for MRI(P＜0.05).The specificity of CT diagnosis was 86.27％,compared with 94.12％of MRI(P＞0.05).The CT images of ischemic stroke patients mostly showed dense artery signs,and the density of the middle and internal carotid arteries was significantly increased.Among them,the brain parenchyma of patients from the onset to admission＞24h.On MRI imaging in patients with ischemic stroke,DWI in patients with hyperacute phase showed significantly high signal,while acute phase patients with T1WI and T2WI.Conclusion:CT can show the density of cerebral lesions in ischemic stroke,and MRI imaging can reflect the cerebral blood flow in the ischemic lesion.Compared with CT,MRI plays a more prominent role in the clinical diagnosis of ischemic stroke.
关键词
CT/MRI/缺血性脑卒中/数字减影血管造影/脑血流Key words
CT/MRI/ischemic stroke/digital subtraction angiography/cerebral blood flow引用本文复制引用
出版年
2024
NETL
NSTL
万方数据