Research on the Application of Quantitative Digital Subtraction Angiography Hemodynamic Analysis Platform in Cerebrovascular Diseases

Study overview: This study will construct a prospective cohort dataset that comprehensively integrates DSA features, clinical baseline data, clinical manifestations, and follow-up data. Using QDSA technology, hemodynamic parameters of patients will be extracted. Based on multidimensional data, this study will conduct clinical research targeting different clinical scenarios, covering disease natural history evaluation, risk factor analysis, and treatment efficacy assessment. Through longitudinal tracking of data evolution and multidimensional parameter correlation analysis, this framework aims to establish an evidence-based pathway for translating hemodynamic characteristics into clinical decision-making, providing valuable references for clinical practice.

Sample size: Between February 2025 and February 2030, a total of 1000 patients with cerebrovascular diseases will be prospectively enrolled, including those with cerebral arteriovenous malformations (AVMs), cerebral aneurysms, moyamoya disease, cerebral arterial stenosis, ischemic stroke, and other subtypes.

Study endpoints: The primary outcome is defined as the composite endpoint of symptomatic stroke or death. And the secondary outcome included neurological status, assessed using the modified Rankin Scale (mRS).

Follow-up: Follow-up assessments will be conducted at 3 months, 6 months, annually (1 year, 2 years, and 3 years), and every 5 years after the initial treatment decision in the form of telephone interviews or record review. Individuals suspected of experiencing cerebrovascular events will undergo focused documentation during each telephone contact or record review.