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Prediction of ankylosing spondylitis by machine learning model based on multi-center CT imaging and clinical features

Prediction of ankylosing spondylitis by machine learning model based on multi-center CT imaging and clinical features

Status
Active, not recruiting
Phases
Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500096632
Enrollment
Unknown
Registered
2025-01-27
Start date
2025-05-03
Completion date
Unknown
Last updated
2025-02-03

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

Conditions

axial spondyloarthritis

Interventions

Gold Standard:(1) Low back pain and morning stiffness =3 months, reduced after activity, not relieved at rest. (2) The lumbar spine has limited movement in the forward and lateral flexion directions.
Index test:AS prediction and diagnosis model constructed by deep learning algorithm

Sponsors

Xi'an Fifth Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 70 Years

Inclusion criteria

Inclusion criteria: (1) Patients with clinically confirmed AS; (2) 18 years <= age <= 70 years; (3) Complete clinical data and CT examination of sacroiliac joint; (4) Voluntary signing of informed consent.

Exclusion criteria

Exclusion criteria: (1) Patients with acute trauma, lumbosacral tumor and lumbosacral surgery; (2) Combined with other rheumatic immune diseases, such as systemic lupus erythematosus, rheumatoid arthritis, autoimmune hepatitis, etc.; (3) minors, pregnant or lactating women; (4) Long-term use of drugs that affect bone metabolism, such as glucocorticoids, immunosuppressants, heparin, antiepileptic drugs, etc. (5) unstable cardiopulmonary, hepatorenal, neurological, endocrine, gastrointestinal, metabolic or blood system diseases; (6) Have a history of tobacco and alcohol addiction or drug addiction.

Design outcomes

Primary

MeasureTime frame
Area under ROC curve (AUC value);accuracy;specificity;sensitivity;

Countries

China

Contacts

Public ContactDu Yongku

Xi’an Fifth Hospital

2448924585@qq.com+86 177 9152 3676

Outcome results

None listed

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