Artificial Intelligence to Assess the Association Between Facial Characteristics and Coronary Artery Diseases
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Several age-related appearance factors were described associated with increased risk of coronary artery diseases (CAD). However, several limitations made these facial risk factors hard to be utilized in clinical practice, including 1) low prevalence in CAD patients, 2) lack of specific definition, 3) poor reproducibility in artificial recognition.
Thus, the investigators designed a multi-center, cross-sectional study to explore the association between facial characteristics and CAD and evaluate the diagnostic efficacy of appearance factors for CAD. The investigators will recruit patients undergoing coronary angiography or coronary computer tomography angiography. Patients' baseline information and facial images will be collected. First, the investigators will explore the facial factors associated with CAD by using artificial intelligence technology to compare facial photographs between patients with CAD and without CAD. Secondary, the investigators will evaluate the dose-response relationship between facial characteristics and CAD. Third, the investigators will establish a CAD risk model based on facial factors, and evaluate the diagnostic effect of the model.
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
-
-
Beijing
-
Beijing, Beijing, China, 100032
- Fuwai Hospital
-
Beijing, Beijing, China, 100032
- Beijing Anzhen Hospital
-
Beijing, Beijing, China, 100032
- Guanganmen Hospital, Chinese Academy of Traditional Chinese Medicine
-
-
Hubei
-
Wuhan, Hubei, China, 430000
- Wuhan Union Hospital
-
-
Jiangsu
-
Xuzhou, Jiangsu, China, 221000
- Xuzhou Third People's Hospital
-
-
Liangning
-
Dalian, Liangning, China, 116000
- The First Affiliated Hospital of Dalian Medical University
-
-
Shanghai
-
Shanghai, Shanghai, China, 200000
- Shanghai East Hospital
-
Shanghai, Shanghai, China, 200000
- Shanghai Renji Hospital
-
-
Zhejiang
-
Wenzhou, Zhejiang, China, 325000
- The fisrt affiliated hospital of Wenzhou medical university
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Undergoing coronary angiography or coronary computer tomography angiography
- Written informed consent
Exclusion Criteria:
- Prior percutaneous coronary intervention (PCI)
- Prior coronary artery bypass graft (CABG)
- Screening coronary artery disease before treating other heart diseases
- Without blood biochemistry outcome
- With artificially facial alteration (i.e. cosmetic surgery, facial trauma or make-up)
- Other situations which make patients fail to be photographed
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Model establishment and test group
Patients undergoing coronary angiography or coronary computer tomography angiography will be enrolled.
Patients data will be used to establish the facial based diagnostic model of coronary artery diseases, and to prospectively validate the diagnostic effectiveness of the model.
|
No intervention
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Sensitivity of diagnostic model
Time Frame: at the end of enrollment (6 months)
|
The sensitivity of coronary artery diagnostic model assessed in model test group
|
at the end of enrollment (6 months)
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Specificity of diagnostic model
Time Frame: at the end of enrollment (6 months)
|
The specificity of coronary artery diagnostic model assessed in model test group
|
at the end of enrollment (6 months)
|
|
Specificity of diagnostic model
Time Frame: at the end of enrollment (6 months)
|
Area under receiver operating curve (AUC) of diagnostic model assessed in model test group
|
at the end of enrollment (6 months)
|
|
Positive predictive value (PPV)
Time Frame: at the end of enrollment (6 months)
|
PPV of diagnostic model assessed in model test group
|
at the end of enrollment (6 months)
|
|
Negative predictive value (NPV)
Time Frame: at the end of enrollment (6 months)
|
NPV of diagnostic model assessed in model test group
|
at the end of enrollment (6 months)
|
|
Diagnostic accuracy rate
Time Frame: at the end of enrollment (6 months)
|
Diagnostic accuracy rate of diagnostic model assessed in model test group
|
at the end of enrollment (6 months)
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 20181104-2017-907
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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.