Affiliation:
1. Departments of Radiology, Linyi Traditional Chinese Medicine Hospital, Linyi, 276002, Shandong, China
Abstract
Objective: To analyze the relationship between TOAST classification of cerebral infarction after cerebral ischemia and traditional risk factors by high-resolution NMR. Methods: A total of 942 patients with cerebral infarction who were hospitalized in our hospital from
January 2012 to October 2019 were enrolled. After performing brain magnetic resonance examination, they were classified according to magnetic resonance imaging, and the patient’s age was recorded. Clinical data such as gender and disease history, and routine examination of diabetes,
blood lipids, etc., according to the results of the test, TOAST classification, comparison with magnetic resonance imaging classification results, and correlation analysis of risk factors affecting cerebral infarction. Results: The results of the study showed that 942 patients with
posterior circulation ischemic cerebral infarction had aortic atherosclerosis (49.04%), small artery occlusion (39.49%), cardiogenic embolism (6.16%), and unexplained type. (5.20%), other reasons (0.11%). There was a significant correlation between DWI imaging characteristics and TOAST classification
(χ = 397.785, P = 0.000). Cortical.cortical infarction, unilateral anterior circulation infarction, large perforating infarction, and anterior.posterior circulation infarction were associated with LAA type, and the difference was statistically significant (P < 0.05).
Conclusion: The results of the study fully demonstrate that the characteristics of high-resolution NMR imaging are related to the TOAST classification of patients with cerebral infarction caused by posterior circulation ischemia. Traditional risk factors such as age, NIHSS score, coronary
heart disease and atrial fibrillation have certain characteristics on DWI imaging. Impact. Therefore, patients with posterior circulation ischemic cerebral infarction need early high-resolution MRI and combined with traditional risk factors to choose treatment options to reduce the disability
and mortality of patients.
Publisher
American Scientific Publishers
Subject
Health Informatics,Radiology Nuclear Medicine and imaging