Health Condition 1: I249- Acute ischemic heart disease, unspecified
Conditions
Interventions
Intervention1: CT Coronary for AI Validation: Diagnostic accuracy of artificial intelligence
based software in CT coronary angiography in detection and characterisation of
coronary artery disease, t
Sponsors
Siemens Healthcare Pvt. Ltd.
Eligibility
Inclusion criteria
Inclusion criteria: Retrospective analysis of 1000 consecutive cases conducted in the Department of Radiology in Siemens machine with complete data (Annonymised Computed Tomography Angiography Images and reports) available on PACS will be included in the study.
Exclusion criteria
Exclusion criteria: Cases which complete data is not available on PACS will be excluded. CADRADS N studies with marked motion artefact due to respiratory artefact. Patients with cardiac surgery, percutaneous coronary intervention, bypass grafting. Patients with coronary malformation or aneurysm. Calcium score of more than 1000 H
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Primary outcome is the diagnostic accuracy of AI software in coronary artery disease, calcium scoring & characterisation and grading of plaque & stenosis and risk stratification by CAD-RADSTimepoint: Baseline CADRAD score | — |
Secondary
| Measure | Time frame |
|---|---|
| Secondary Outcome is to benchmark the present reporting system versus AI software.Timepoint: Baseline CADRAD Score | — |
Countries
India
Contacts
Public ContactDr Rajesh Saxena
Max Super Speciality Hospital Saket (A unit of Max Healthcare Institute Limited)
Outcome results
None listed