Actively Recruiting
Automated Bone Age Estimation From Noncontrast Abdominal CT Using Deep Learning
Led by Peking University People's Hospital · Updated on 2025-12-03
3000
Participants Needed
1
Research Sites
169 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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 investigators aim to develop a tool that can evaluate bone health and detect early signs of osteoporosis without requiring additional scans or radiation. This approach may help doctors better understand bone aging, improve screening for bone weakness, and provide patients with more personalized information about their bone health.
CONDITIONS
Official Title
Automated Bone Age Estimation From Noncontrast Abdominal CT Using Deep Learning
Who Can Participate
Eligibility Criteria
You may qualify if you...
- 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).
You will not qualify if you...
- 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).
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
CT machine
Beijing, China
Actively Recruiting
Research Team
H
hanwen Cheng, M.D
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
9
Not the Right Trial for You?
Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.
Already have an account? Log in here