The aim of this study was to construct a diagnostic model of recurrent stroke with the combination of high resolution MRI imaging characteristics and clinical parameters. The vessel wall characteristics of plaque and clinical data were compared between stroke and recurrent stroke patients. Multivariate logistic regression analysis was explored, seven risk factors (plaque burden, fibrous cap, hyperdense, hemorrhage, HbA1, low density lipoprotein and smoke) were independent risk factors for recurrent stroke patients. Then a nomogram model was established for risk prediction.
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