Coronary atherosclerosis with chest pain symptoms, with or without ischemia.
Conditions
Interventions
Artificial intelligence–based automated diagnosis group:None
Junior radiologists’ manual diagnosis group:None
Junior radiologists combined with artificial intelligence–assisted diagnosis group:None
Sponsors
Shanghai General Hospital
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: 1.Patients with an intermediate to high pretest probability of coronary artery disease (CAD), as determined by the modified Diamond–Forrester score. Pretest probability refers to the likelihood of having CAD prior to undergoing imaging examinations, and this score stratifies risk based on age, sex, and the nature of chest pain. 2.Underwent one-stop imaging with CT myocardial perfusion imaging (CT-MPI) and coronary CT angiography (CCTA). 3.Aged 18 years or older.
Exclusion criteria
Exclusion criteria: 1.Prior treatment for coronary artery disease (CAD), including stent implantation and revascularization. 2.Concomitant valvular disease, cardiomyopathy, or other cardiac conditions. 3.Poor image quality (Linker image quality score < 3 on the 5-point scale). 4.Failure of artificial intelligence (AI) software processing.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Rate of changes in treatment strategies across groups; | — |
Secondary
| Measure | Time frame |
|---|---|
| Proportion of cases involving the use of invasive coronary angiography among those with changes in treatment strategy across groups;Processing time required for each group;Diagnostic performance metrics of each imaging parameter across groups, including accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV).; | — |
Countries
China
Contacts
Public ContactJiayin Zhang
Shanghai General Hospital
Outcome results
None listed