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Cerebrovascular diseases pose a major global public health challenge, characterized by exceptionally high mortality and disability rates, with their pathogenesis closely linked to hemodynamic abnormalities. The quantitative digital subtraction angiography (QDSA) analysis platform, leveraging its advantages of vessel modeling-free operation, high computational efficiency, and DSA-equivalent sensitivity, has emerged as a novel hemodynamic assessment method with significant clinical potential. This study aims to establish a cerebrovascular disease cohort incorporating QDSA parameters to systematically validate the clinical value of this technology in preoperative evaluation and surgical planning, thereby providing evidence-based insights for optimizing diagnostic and therapeutic strategies.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Testing populations | Patients with cerebrovascular disease can be evaluated for quantitative hemodynamic characteristics using QDSA. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| QDSA (Quantitative Digital Subtraction Angiography) | Device | QDSA is a quantitative analysis technology based on DSA, used to assess hemodynamic characteristics and provide critical data support for the diagnosis and treatment of cerebrovascular diseases. |
| Measure | Description | Time Frame |
|---|---|---|
| Symptomatic stroke or death | Stroke is defined as a clinically symptomatic event (any new focal neurological deficit, seizure, or new-onset headache) that is associated with imaging findings of hemorrhage or infarction. Hemorrhage is defined as fresh intracranial blood on head computed tomography (CT) or magnetic resonance imaging (MRI), or in the cerebrospinal fluid. Infarction is defined as a new ischemic lesion on cranial CT or MRI (diffusion-weighted, T2-weighted, or fluid-attenuated inversion recovery MRI). | After treatment (max 10 years) |
| Measure | Description | Time Frame |
|---|---|---|
| Neurological status (modified Ranking Scale score) | The scale runs from 0-6, running from perfect health without symptoms to death. 0 - No symptoms.
|
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Inclusion Criteria:
Exclusion Criteria:
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Patients with cerebrovascular disease can be evaluated for quantitative hemodynamic characteristics using QDSA.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Yu Chen, MD | Contact | 86-18801239327 | chenyu_tiantan@126.com | |
| Xiaolin Chen, MD | Contact | 86-13810624845 | cxl_bjtth@163.com |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Beijing Tiantan Hospital | Recruiting | Beijing | Beijing Municipality | 100070 | China |
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| ID | Term |
|---|---|
| D002561 | Cerebrovascular Disorders |
| D020521 | Stroke |
| D003643 | Death |
| ID | Term |
|---|---|
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
| D014652 | Vascular Diseases |
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| After treatment (max 10 years) |
| D002318 | Cardiovascular Diseases |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |