Status:
COMPLETED
Intelligent Detection of Carotid Plaque and Its Stability Based on Deep Learning Dynamic Ultrasound Scanning
Lead Sponsor:
Jia Liu
Conditions:
Carotid Atherosclerosis
Eligibility:
All Genders
18+ years
Brief Summary
This study intends to build a model through deep learning that can automatically and accurately detect plaques, calculate the lumen stenosis rate and evaluate the stability of plaques based on the car...
Detailed Description
Background: Carotid plaque is harmful to human health. According to estimates by the World Health Organization, 6.7 million cerebrovascular accidents and strokes occur each year, mainly related to th...
Eligibility Criteria
Inclusion
- (1) Age≥18 years old, gender is not limited. (2) Patients who voluntarily participated in this study signed the informed consent.
Exclusion
- (1) Severe cerebrovascular disease, uncooperative patients, and those who cannot tolerate examination. (2) Wound dressings after neck surgery affects carotid artery ultrasonography. (3) The neck is short and thick, and the probe cannot be put down vertically.
Key Trial Info
Start Date :
May 1 2020
Trial Type :
OBSERVATIONAL
Allocation :
ACTUAL
End Date :
June 1 2023
Estimated Enrollment :
2000 Patients enrolled
Trial Details
Trial ID
NCT05230576
Start Date
May 1 2020
End Date
June 1 2023
Last Update
September 14 2023
Active Locations (1)
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1
The Third Affiliated Hospital of Sun Yat-sen University
Guangzhou, Guangdong, China