China Imaging-based Biobank of Cerebral Small Vessal Diseases
Trial Parameters
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Brief Summary
The purpose of this study is to build a national image-based comprehensive evaluation platform of CSVD through longitudinal collection of imaging based medical data of patients with cerebral small vessel diseases (CSVD). On this basis, the new classification and diagnostic criteria of CSVD are proposed, and the risk prediction model of CSVD is established. By evaluating the prognostic factors of CSVD, early identification of high-risk CSVD population.
Eligibility Criteria
Inclusion Criteria: 1. Age ≥ 18 years old 2. SVD lesions can be seen on MRI of the head * White matter hyperintensity, Fazekas score ≥ 2 * Fazekas=1 has more than 2 vascular risk factors (hypertension, hyperlipidemia, diabetes, obesity, smoking, and other vascular events except stroke). * Fazekas = 1 and combined with lacunar focus * Imaging findings suggest new subcortical lacunar infarction 3. Daily life independence (MRS ≤ 2) 4. Sign informed consent Note: the imaging definition of small vessel disease refers to the strong guideline 1. The total score of Fazekas was 6, which was the sum of Fazekas scores of subcortical and periventricular white matter lesions. 2. New subcortical lacunar infarction: head MRI examination, subcortical, basal ganglia or brain stem DWI showed high signal (ADC diffusion limited) lesions with diameter \< 20 mm, with or without corresponding clinical symptoms; There were new clinical symptoms. FLAIR sequence of head MRI showed flair hyperintense lesions (di