Affiliation:
1. School of Biomedical Engineering, Xinhua College of Sun Yat-Sen University, Guangzhou, 510520, China
Abstract
Objective: To achieve precision medicine, the use of imaging methods to help the clinical detection of cerebral infarction is conducive to the clinical development of a treatment plan and increase of the cure rate and improvement of the prognosis of patients.Methods:
In this work, T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), susceptibility-weighted imaging (SWI), and diffusion tensor imaging (DTI) examinations were performed on 34 patients with clinically diagnosed cerebral infarction to measure the difference in signal intensity between
the lesion and its mirror area and make a comparative analysis by means of the Student-Newman-Keuls method.Results: The detection rate of T2WI was 79% (27/34), the detection rate of DWI was 97% (33/34), the detection rate of SWI was 88% (30/34), and the detection rate of DTI was
94% (32/34).Conclusion: The imaging performance was in the order DWI > DTI > SWI > T2WI for the diagnosis of cerebral infarction, and combined imaging is better than single imaging.
Cited by
1 articles.
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