Deep Learning-based Risk Prediction Model for Cerebrovascular Events in Patients With Carotid Artery Stenosis
Trial Snapshot
- Phase
- Not Applicable
- Status
- Enrolling By Invitation
- Sponsor
- Enrollment
- 300
- Locations
- 1
- Primary Endpoint
- Number of Patients with Cerebrovascular Events
Study Overview
Brief Summary
Atherosclerotic carotid artery stenosis is a major cause of stroke, and early identification of high-risk patients combined with surgical intervention can significantly reduce stroke risk. Currently, stroke risk assessment in patients with carotid artery stenosis primarily relies on imaging indicators such as plaque morphology, composition, and degree of stenosis, with less emphasis on indicators directly related to inflammation, hemodynamics, and plaque instability. Certain circulating metabolites are closely linked to plaque progression and are direct risk factors for stroke. However, there is a lack of stroke risk prediction models for patients with carotid stenosis that incorporate these indicators, and the ability to identify high-risk patients needs improvement.
This study proposes using deep learning technology to integrate multidimensional data from plaque imaging, fluid dynamics, circulating metabolomics, and proteomics to construct an accurate prediction model for cerebrovascular events in patients with carotid artery stenosis. Additionally, it aims to explore markers of plaque instability characteristics based on plaque pathology. The study is expected to provide a basis for identifying high-risk patients with carotid artery stenosis, thereby laying the foundation for reducing stroke risk and improving long-term patient outcomes.
Study Design
- Study Type
- Observational
- Observational Model
- Case Control
- Time Perspective
- Cross Sectional
Eligibility Criteria
- Sex
- All
- Accepts Healthy Volunteers
- No
Inclusion Criteria
- •Patients diagnosed with atherosclerotic carotid stenosis;
- •Those who signed informed consent and volunteered to participate in this study.
Exclusion Criteria
- •Patients with combined severe stenosis of intracranial arteries;
- •Patients with combined cardiogenic embolism, vasculitis, entrapment aneurysm and other related cerebral infarction;
- •Combination of tumors, rheumatic immune system diseases, hematologic diseases and other diseases that change blood metabolism and proteomic characteristics;
- •There are contraindications to magnetic resonance scanning and allergy to gadolinium contrast agent;
- •Inability to cooperate in completing the relevant examinations.
Outcomes
Primary Outcomes
Number of Patients with Cerebrovascular Events
Time Frame: Within six months from the date of consultation
Patients will be categorized as having a cerebrovascular event if they meet one of the following indicators: i. cerebral infarction in the middle cerebral artery territory on the side of carotid stenosis; ii. transient ischemic attack symptoms (including motor and sensory) in the hemisphere on the side of stenosis; and iii. transient amaurosis on the side of stenosis.
Secondary Outcomes
No secondary outcomes reported