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Detection of acute aortic syndrome by non-contrastive CT scanning based on multi-task learning

Detection of acute aortic syndrome by non-contrastive CT scanning based on multi-task learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400085502
Enrollment
Unknown
Registered
2024-06-11
Start date
2024-06-15
Completion date
Unknown
Last updated
2025-01-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Acute Aortic Syndrome

Interventions

Gold Standard:The diagnosis of aortic lesions was made according to the relevant authoritative international guidelines or standards, combined with medical history and relevant examination results.
Index test:Non-contrastive CT scanning based on multi-task learning

Sponsors

The First Affiliated Hospital of Zhejiang University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. A history of demography, anthropometry, information and other records; 2. Aortic CTA scan data with unenhanced and enhanced sequences were available

Exclusion criteria

Exclusion criteria: 1. postoperative patients with aortic disease; 2. The CT image quality is poor.

Design outcomes

Primary

MeasureTime frame
Receiver Operating Characteristic curve, ROC;—

Secondary

MeasureTime frame
Positive Predictive Value, PPV;Negative Predictive Value, NPV;—

Countries

China

Contacts

Public ContactHongkun Zhang

The First Affiliated Hospital of Zhejiang University School of Medicine

1198050@zju.edu.cn+86 135 8823 0962

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026