Status:
RECRUITING
Automated Bone Age Estimation From Noncontrast Abdominal CT Using Deep Learning
Lead Sponsor:
Peking University People's Hospital
Conditions:
Bone Aging
Osteoporosis Diagnosis
Eligibility:
All Genders
18+ years
Brief Summary
This study is a retrospective analysis that uses abdominal CT scans, which were originally taken for other medical reasons, to estimate bone age. By applying advanced deep learning methods, the invest...
Eligibility Criteria
Inclusion
- Adults aged over 18 years.
- Underwent routine noncontrast abdominal CT scans.
- CT scans fully included the proximal femur.
- Scans were performed for non-orthopedic clinical indications.
- Provided necessary demographic information (e.g., age, sex).
Exclusion
- CT scans with poor image quality or severe artifacts that precluded accurate analysis.
- History of hip surgery or presence of internal fixation devices.
- Presence of bone tumors in the proximal femur.
- Severe hip deformity or prior fractures affecting the proximal femur.
- Pediatric patients or pregnant individuals (if applicable).
Key Trial Info
Start Date :
September 1 2024
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
December 1 2027
Estimated Enrollment :
3000 Patients enrolled
Trial Details
Trial ID
NCT07162168
Start Date
September 1 2024
End Date
December 1 2027
Last Update
December 3 2025
Active Locations (1)
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1
CT machine
Beijing, China