Ignite Creation Date:
2025-12-24 @ 5:35 PM
Ignite Modification Date:
2025-12-29 @ 2:20 AM
Study NCT ID:
NCT07162168
Status:
RECRUITING
Last Update Posted:
2025-12-03
First Post:
2025-08-29
Is Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Automated Bone Age Estimation From Noncontrast Abdominal CT Using Deep Learning
Sponsor:
Peking University People's Hospital
Organization:
Study Overview
Official Title:
Development and Evaluation of a Deep Learning-Based Model for Automated Osteoporosis Assessment Using CT Images
Status:
RECRUITING
Status Verified Date:
2025-11
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
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 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.
Detailed Description:
None
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: