Automated Bone Age Estimation From Noncontrast Abdominal CT Using Deep Learning
NCT ID: NCT07162168
Last Updated: 2025-12-03
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
3000 participants
OBSERVATIONAL
2024-09-01
2027-12-01
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
RETROSPECTIVE
Study Groups
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Peking University People's Hospital cohort
No intervention
No interventions assigned to this group
Shandong Cohort
No intervention
No interventions assigned to this group
Canton Cohort
No intervention
No interventions assigned to this group
Guizhou cohort
No intervention
No interventions assigned to this group
Hunan Cohort
No intervention
No interventions assigned to this group
Inner Mongolia Cohort
No intervention
No interventions assigned to this group
Shaanxi Cohort
No intervention
No interventions assigned to this group
Shandong Cohort2
No intervention
No interventions assigned to this group
Other province Cohort
No intervention
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* 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 Criteria
* 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).
18 Years
ALL
Yes
Sponsors
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Peking University People's Hospital
OTHER
Responsible Party
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Yuhui Kou
Research Fellow
Locations
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CT machine
Beijing, , China
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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2024PHB388-001
Identifier Type: -
Identifier Source: org_study_id
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