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Application of automatic recognition of carotid plaque based on Deep Learning Model in Ultrasonic Image screening of Stroke

Application of automatic recognition of carotid plaque based on Deep Learning Model in Ultrasonic Image screening of Stroke

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000036250
Enrollment
Unknown
Registered
2020-08-22
Start date
2020-10-01
Completion date
Unknown
Last updated
2020-09-07

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

Conditions

Carotid plaque

Interventions

case series:Nil

Sponsors

Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. The age of the patient is between 18 and 80 years old; 2. All patients received carotid ultrasound and contrast-enhanced ultrasound examination with informed consent, and the content of this study is in line with the relevant regulations of the medical ethics committee of our hospital.

Exclusion criteria

Exclusion criteria: 1. Patients with unstable condition such as severe brain edema or coma; 2. Cerebral embolism caused by rheumatic heart disease, coronary heart disease and other heart diseases complicated with atrial fibrillation; 3. Patients with severe infection or serious diseases such as liver, kidney, hematopoietic system, endocrine system and osteoarthrosis; 4. People with severe mental symptoms, severe cognitive impairment, dementia; 5. Pregnant women and lactating women; 6. Those who are allergic to ultrasound contrast agents, abnormal coagulation function, and can not stop using anticoagulants such as aspirin and warfarin for a long time.

Design outcomes

Primary

MeasureTime frame
Carotid artery intima media thickness;

Countries

China

Contacts

Public ContactHe Zheng
tianpeng71@163.com+86 18019487206

Outcome results

None listed

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