Compressed Sensing Algorithm-Based Magnetic Resonance Imaging Guided for Prognosis of Early Neurological Deterioration after Intravenous Thrombolysis in Ischemic Stroke Patients.

This work was aimed to study the risk factors and prognostic treatment for acute ischemic stroke (AIS) patients with early neurological deterioration (END) after intravenous thrombolytic therapy via compressed sensing algorithm-based magnetic resonance imaging (CS-MRI). 231 patients who were diagnosed with AIS were selected, and the final involved number of patients was 182. Patients with AIS were treated with intravenous thrombolysis with alteplase within 4.5 hours of onset. After treatment, patients with early neurological deterioration were defined as the deteriorating group and those without early neurological impairment were defined as the nondeteriorating group. In univariate analysis, hypertension, white blood cell count, and National Institutes of Health Stroke Scale (NIHSS) score were correlated with the occurrence of END. Under the CS-MRI theory, the two groups of patients were evaluated for middle cerebral artery basal ganglia infarction and internal watershed infarction. After univariate analysis, the P < 0.1 variables were taken as the independent variable, and the binary logistic regression model was adopted for multivariate regression analysis. It was disclosed that NIHSS score was not correlated with the occurrence of early neurological function deterioration, while homocysteine was. Hypertension, white blood cell count, homocysteine, and NIHSS score were risk factors for END. The image analysis revealed that the incidence of deteriorating basal ganglia infarction group was lower relative to the nondeteriorating group, and the incidence of watershed infarction was higher in the deteriorating group versus the nondeteriorating group. The image analysis suggested that predicting the occurrence of END through risk factors can actively provide endovascular treatment for patients with AIS. [ABSTRACT FROM AUTHOR]