Affiliation:
1. Department of Neurology, Second People’s Hospital of Lianyungang, Lianyungang, Jiangsu, China
2. Department of
Neurology, Lianyungang Cancer Hospital, Lianyungang, Jiangsu, China
Abstract
Objective:
To explore the MRI T2 fluid-attenuated inversion recovery (FLAIR) vascular
hyperintensities (FVH) combined with diffusion-weighted imaging (DWI) Alberta Stroke Program
Early CT Score (ASPECTS) in predicting the prognosis of acute cerebral infarction (ACI)
with endovascular treatment.
Methods:
The patients with ACI in the anterior circulation who underwent endovascular treatment
from June 2016 to December 2020 were divided into a good prognosis group and a poor prognosis
group according to the modified Rankin Scale (mRS) score at 90 days after the operation. The
differences in general clinical baseline data, CT-ASPECTS, FVH, and DWI-ASPECTS between
the two groups were analyzed. The receiver operating characteristic (ROC) curve was used to analyze
the predictive power of prediction models on prognosis.
Results:
The results of the Binomial Logistic regression equation showed initial National Institute
of Health stroke scale (NIHSS), Mori grade, DWI-ASPECTS, and FVH were independent risk
factors for prognosis. The predictive power of the FVH + DWI-ASPECTS prediction model was
highest, and the predictive power of DWI-ASPECTS was higher than that of CT-ASPECTS.
Conclusion:
DWI-ASPECTS is better than CT-ASPECTS in predicting the prognosis of ACI
with endovascular treatment, and the combined prediction model of FVH and DWI-ASPECTS
has higher prediction performance, which can be used as a preoperative evaluation method to predict
the effect of endovascular treatment for ACI.
Publisher
Bentham Science Publishers Ltd.
Subject
Radiology, Nuclear Medicine and imaging
Cited by
1 articles.
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