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Building a risk prediction model for ischemic stroke in carotid artery vulnerable plaques based on machine learning and its efficacy evaluation

Building a risk prediction model for ischemic stroke in carotid artery vulnerable plaques based on machine learning and its efficacy evaluation

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500103482
Enrollment
Unknown
Registered
2025-05-29
Start date
2025-06-24
Completion date
Unknown
Last updated
2025-06-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

The impact of vulnerable carotid artery plaques on ischemic stroke

Interventions

Training group:None
Test group:None

Sponsors

Huzhou First People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
40 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Ultrasound examination showed carotid hypoechoic plaque (i.e., soft plaque) and plaque thickness > 1.5mm, and the patient was informed of the basic situation and agreed to further neck CTA and MRA examination 2. Age 40~80 years old; 3. There have been no cerebrovascular adverse events recently.

Exclusion criteria

Exclusion criteria: 1. Those who have contraindications to imaging examination; 2. Patients with severe infection; 3. Mentally ill and unable to cooperate with the observer; 4. Poor image quality, motion artifacts or difficulty in drawing the region of interest; 5. Participate in other researchers at the same time. 6. Those who do not agree to participate in this study

Design outcomes

Primary

MeasureTime frame
manifestations of carotid artery plaque thickness;

Secondary

MeasureTime frame
blood pressure;blood lipid;Coronary heart disease;blood glucose;age;sex;

Countries

China

Contacts

Public Contactyunfei Bao

Huzhou First People's Hospital

1959552153@qq.com+86 178 5837 8360

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026