Artificial Intelligence to Assess the Association Between Facial Characteristics and Coronary Artery Diseases

Coronary Artery Disease Clinical Trial

Official title:

Artificial Intelligence to Assess the Association Between Facial Characteristics and Coronary Artery Diseases

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT03731936
• Other study ID #: 20181104-2017-907
• Status: Completed
• Start date: July 10, 2017
• Est. completion date: August 2, 2019

Study information

• Verified date: August 2019
• Source: China National Center for Cardiovascular Diseases
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

The purposes of this study are 1) to explore the association between facial characteristics and the increased risk of coronary artery diseases; 2) to evaluate the diagnostic efficacy of appearance factors for coronary artery diseases.

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.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 6864
• Est. completion date: August 2, 2019
• Est. primary completion date: August 2, 2019
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 18 Years and older

Eligibility

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

Related Conditions & MeSH terms

• Coronary Artery Disease
• Coronary Disease
• Myocardial Ischemia

Intervention

Other:
• No intervention
No intervention

Locations

Country	Name	City	State
China	Beijing Anzhen hospital	Beijing	Beijing
China	Fuwai hospital	Beijing	Beijing
China	Guanganmen Hospital, Chinese Academy of Traditional Chinese Medicine	Beijing	Beijing
China	The first affiliated hospital of Dalian medical university	Dalian	Liangning
China	Shanghai East hospital	Shanghai	Shanghai
China	Shanghai Renji hospital	Shanghai	Shanghai
China	The fisrt affiliated hospital of Wenzhou medical university	Wenzhou	Zhejiang
China	Wuhan union hospital	Wuhan	Hubei
China	Xuzhou third people's hospital	Xuzhou	Jiangsu

Sponsors (1)

Lead Sponsor	Collaborator
China National Center for Cardiovascular Diseases

Country where clinical trial is conducted

China, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Sensitivity of diagnostic model	The sensitivity of coronary artery diagnostic model assessed in model test group	at the end of enrollment (6 months)
Secondary	Specificity of diagnostic model	The specificity of coronary artery diagnostic model assessed in model test group	at the end of enrollment (6 months)
Secondary	Specificity of diagnostic model	Area under receiver operating curve (AUC) of diagnostic model assessed in model test group	at the end of enrollment (6 months)
Secondary	Positive predictive value (PPV)	PPV of diagnostic model assessed in model test group	at the end of enrollment (6 months)
Secondary	Negative predictive value (NPV)	NPV of diagnostic model assessed in model test group	at the end of enrollment (6 months)
Secondary	Diagnostic accuracy rate	Diagnostic accuracy rate of diagnostic model assessed in model test group	at the end of enrollment (6 months)