The value of diffusion weighted imaging-Alberta stroke project early CT score in predicting early neurological deterioration in patients with acute anterior circulation cerebral infarction
- VernacularTitle: 弥散加权成像-阿尔伯塔卒中项目早期CT评分对急性前循环脑梗死患者早期神经功能恶化的预测价值
- Author:
Yu CHEN
1
;
Yicheng XU
1
;
Hongfeng WEN
1
Author Information
- Publication Type:Journal Article
- Keywords: Cerebral infarction; Early neurological deterioration; DWI-ASPECTS scale; Prediction
- From: Journal of Apoplexy and Nervous Diseases 2021;38(2):109-112
- CountryChina
- Language:Chinese
- Abstract: Objective To explore the value of diffusion weighted imaging-Alberta stroke project early CT score (DWI-ASPECTS) in predicting early neurological deterioration (END) in the patients with acute anterior circulation cerebral infarction.Methods The data patients with acute anterior circulation cerebral infarction treated in the department of neurology of our hospital from October 01 2014 to June 30 2016 were retrospectively analyzed.According to the occurrence of END.The patients were divided into END group and non-END group.The differences of clinical variables between the two groups were analyzed and compared.ROC curve was used to evaluate the predictive value of DWI-ASPECTS score in the patients with acute anterior circulation cerebral infarction.Results The DWI-ASPECTS score of END group was significantly lower than that of non-END group (P<0.001).The DWI-ASPECTS (95%CI 0.466~0.8,95% CI 0.466~0.8 95% score 0.009) and the LDL-C (95% CI 1.006~2.316 score 0.047) were independent risk factors for END.ROC curve shows that when the DWI-ASPECTS is 7 as the cut-off point.The area under the curve is 0.769 (95%CI 0.715~0.818),the sensitivity is 61.54% and the specificity is 88.04%.Conclusion DWI-ASPECTS has a good predictive value in the patients with acute anterior circulation cerebral infarction.Which should be further verified by a large sample study.
- Full text:2024073023195428897The value of diffusion weighted imaging-Alberta stroke project early CT score in predicting early neurological deterioration in patients with acute anterior circulation cerebral infarction.pdf