Evaluation on the Effectiveness and Safety of RuiXin-CoronaryAI for Diagnosis of Coronary Artery Stenosis

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

615 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-07-28

Study Completion Date

2022-12-30

Brief Summary

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With the emergence of advanced technology to date in the artificial intelligence (AI), computer aided diagnosis has gradually gained its popularity in the field of healthcare. Particularly, in the clinical practice of coronary artery disease diagnosis, the application of AI could be of great implication in alleviating the shortage of medical sources. To evaluate the effectiveness and safety of the AI-based coronary CT angiographic analysis software (RuiXin-CoronaryAI) for diagnosis of coronary artery stenosis, a retrospective, multi-center, cross-over designed, blinded, sensitivity superiority and specificity non-inferiority clinical trial will be conducted.

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Detailed Description

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Patients ≥18 years old with suspected or known coronary artery disease who underwent CCTA will be included. CCTA images of subjects should be of good quality up to the DICOM 3.0 standards, obtained by CT scan with ≥64-slices. The subjects with unqualified CTA will be excluded. CCTA images will be analyzed in three methods (3 groups). Control group: CCTA images will be visually evaluated by physicians. Experiment group: CCTA images will be evaluated by physicians using RuiXin-CoronaryAI. Reference group: CCTA images will be visually evaluated by cardiologists with at least 10 years experiences, and the conclusions they offer will be used as golden standard. Primary outcomes are diagnostic sensitivity and specificity of RuiXin-CoronaryAI and coronary CTA for diagnosis of ischemia on a per-vessel basis. The effectiveness of RuiXin-CoronaryAI for diagnosis of coronary artery stenosis will be conducted by testing superiority of diagnostic sensitivity and non-inferiority of specificity.

Conditions

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Coronary Artery Disease Artificial Intelligence Coronary Artery Stenosis CT Angiography

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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Control group

CCTA images will be visually evaluated by physicians.

No interventions assigned to this group

Experiment group

CCTA images will be evaluated by physicians using RuiXin-CoronaryAI.

RuiXin-CoronaryAI software

Intervention Type DEVICE

RuiXin-CoronaryAI, based on Computed Tomography Angiography (CTA) and was independently designed by RaysightMed Inc., which has been already authorized by National Medical Products Administration (NMPA).

Reference group

CCTA images will be visually evaluated by cardiologists with at least 10 years experiences, and the conclusions they offer will be used as golden standard.

No interventions assigned to this group

Interventions

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RuiXin-CoronaryAI software

RuiXin-CoronaryAI, based on Computed Tomography Angiography (CTA) and was independently designed by RaysightMed Inc., which has been already authorized by National Medical Products Administration (NMPA).

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

1. layer thickness of CCTA images should be less than 1mm, image quality should be up to DICOM 3.0 standards;
2. vessels should be clearly developed, contrast medium ought to be well filled, the average of CT value of aortic root cavity should be between 325-600HU in CCTA image;
3. remodeling of vessels should be intact, including coronary artery and branches, without missed or inaccurate slices;
4. CCTA image should be obtained from single- or dual-source computed tomography (CT) scanners with a minimum of 64 detector rows.

Exclusion Criteria

1. CCTA image is of poor quality due to motion artifact, severe calcification, metal coverage, noise, poor contrast medium injection and other variables influencing the diagnosis of stenosis;
2. previous percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG);
3. anomalous origin of coronary artery;
4. other non-atherosclerosis-related coronary diseases like coronary artery fistula, aneurysm, coronary artery ectasia, arteritis coronaria, etc.;
5. repeated enrollment;
6. other conditions not suitable for enrollment.

Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No