- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06314295
Automated Echocardiographic Detection of Coronary Artery Disease Using Artificial Intelligence Methods
March 11, 2024 updated by: Beijing Hospital
The incidence rate and mortality of coronary artery disease are increasing year by year.
Exploring non-invasive, accurate, and widely applicable methods to screen and diagnosis is of great significance.
New ultrasound techniques, such as non-invasive myocardial work, have been proven to be superior to traditional ultrasound techniques in screening and diagnosis.
However, diagnostic analysis based on ultrasound video images is time-consuming and subjective.
The progress of artificial intelligence technology in fully automated quantitative evaluation of video images provides the possibility for computer-aided design screening and diagnosis.
At present, the application of artificial intelligence in computer-aided design is a cutting-edge issue in the field of cardiovascular disease research.
The application of artificial intelligence technology in the construction of computer-aided diagnostic models based on ultrasound video images is still in its early stages.
Study Overview
Status
Not yet recruiting
Conditions
Detailed Description
1) Clarify the value of new cardiac ultrasound techniques indicators in coronary artery disease diagnosis; 2) To achieve classification and detection of cardiac ultrasound sections; Implementing automatic segmentation and recognition of the left ventricular cavity, left ventricular myocardium, and left atrial wall contours through the CLAS model; Using the another model to achieve heart motion tracking and synthesizing velocity vector maps of the heart flow field.
3) Verify and optimize the coronary artery disease fully automated artificial intelligence diagnostic model mentioned above.
Study Type
Observational
Enrollment (Estimated)
1500
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
N/A
Sampling Method
Probability Sample
Study Population
Patients with suspected coronary artery disease who plan to undergo coronary angiography
Description
Inclusion Criteria:
Patients with suspected coronary artery disease who plan to undergo coronary angiography
Exclusion Criteria:
Patients with ①Aortic valve stenosis, aortic valve replacement surgery, hypertrophic cardiomyopathy; ②Severe heart valve disease, arrhythmia, cardiomyopathy, congenital heart disease; ③The quality of ultrasound images is poor.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Different coronary angiography results
Time Frame: Coronary angiography examination within 2-3 days after admission
|
The degree of coronary artery stenosis
|
Coronary angiography examination within 2-3 days after admission
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Estimated)
March 11, 2024
Primary Completion (Estimated)
March 11, 2026
Study Completion (Estimated)
April 11, 2026
Study Registration Dates
First Submitted
March 11, 2024
First Submitted That Met QC Criteria
March 11, 2024
First Posted (Actual)
March 18, 2024
Study Record Updates
Last Update Posted (Actual)
March 18, 2024
Last Update Submitted That Met QC Criteria
March 11, 2024
Last Verified
March 1, 2024
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- BeijingH-WF
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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