Aortic dissection
Conditions
Interventions
Gold Standard:Three senior diagnosticians from the cardiovascular subdiscipline jointly adjudicated the verdict.
Index test:The imaging diagnosis and risk prediction system for aortic dissection based on deep learning
Sponsors
Shanghai Sixth People's Hospital
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: (1) The age and gender distribution of patients were in line with the study objectives. (2) The patient's CTA image was diagnosed with aortic dissection. (3) The patient's CTA data is complete and can be used for subsequent analysis. (4) The effective number of tomographies in the patient's CT scan is sufficient, and the image resolution is high.
Exclusion criteria
Exclusion criteria: (1) The quality of the patient's CT scan image is poor, which affects the subsequent segmentation and reconstruction. (2) The patient's CTA data was incomplete or could not be used for follow-up analysis. (3) The patient has undergone surgery for aorta-related diseases. (4) The patient has other serious vascular diseases or systemic diseases that may interfere with the diagnosis and treatment of dissection artificial intelligence.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| accuracy;specificity;sensitivity; | — |
Secondary
| Measure | Time frame |
|---|---|
| positive predictive value;negative predictive value;mean number of false positives; | — |
Countries
china
Contacts
Public ContactBeibei Liu
Shanghai Sixth People's Hospital
Outcome results
None listed