Risk Prediction Model for Cerebrovascular Events in Carotid Artery Stenosis
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Plasma, carotid high-resolution magnetic resonance imaging.
- Who it may be relevant to
- Registry conditions: Carotid Stenosis. Basic parameters: No limits · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- China
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
Deep Learning-based Risk Prediction Model for Cerebrovascular Events in Patients With Carotid Artery Stenosis
Overview
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.
Interventions
- Diagnostic test Plasma
Plasma levels of metabolites and some proteins will be further determined - Diagnostic test carotid high-resolution magnetic resonance imaging
Define plaque composition and morphological characteristics
Primary outcome measures
- Number of Patients with Cerebrovascular Events [Time frame: Within six months from the date of consultation]
Eligibility criteria
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.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Observational model
- Case-control
Study locations
China · 1 center
- Beijing Tiantan hospital — Beijing
Identifiers
NCT: NCT06452173 · KY2024-070-02 · 2024-2-1072