NCT07739628Active, not recruiting
Validation of a Deep Learning Tool for Opportunistic Osteoporosis Screening Using Routine Non-Contrast CT Scans
Prospective Clinical Validation Study of a Deep Learning Model for Opportunistic Osteoporosis Screening Based on Non-Contrast CT Scans
Source: ClinicalTrials.gov · Last updated 3 Sept 2026
Brief summary (registry, in English)
The goal of this clinical trial is to test if an artificial intelligence (AI) tool called DeepBMD can accurately identify people at high risk for osteoporosis using routine chest or abdomen CT scans. The main questions it aims to answer are: 1. Can the DeepBMD tool correctly identify people who have osteoporosis compared to the standard bone density test, dual-energy X-ray absorptiometry (DXA)? 2. Is it practical to use this AI tool in real-world hospital settings to find and contact high-risk patients? Researchers will use the DeepBMD tool to analyze existing CT scans. If the tool flags a patient as high risk, researchers will call them to invite them for a standard bone density test (DXA). Participants will: 1. Have their existing chest or abdomen CT scan analyzed by the DeepBMD AI tool; 2. Receive a phone call from the research team if identified as high risk; 3. Visit the clinic for a free standard bone density test (DXA) if they agree to participate.
- Status (registry)
- Active, not recruiting
- Study type
- Observational
- Enrollment
- 100 (estimated)
- First submitted
- 22 Jul 2026
- Start date
- 28 Jul 2026
- Primary completion date
- 28 Aug 2026
- Lead sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Diseases
- Osteoporosis
- NCT number
- NCT07739628
What you commit to
- Study type: Observational
- Planned participants: 100
- From 28 Jul 2026 to the primary completion date, 28 Aug 2026
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Other illness
- Severe spinal deformity, postoperative spinal internal fixation, malignant bone metastasis, or severe osteolytic lesions that may interfere with measurements;
Other
- A confirmed diagnosis of osteoporosis with ongoing standardized treatment;
- Inability to be contacted, explicit refusal of follow-up, or inability to visit the hospital for informed consent signing and DXA examination.
Who the study is looking for
- Underwent non-contrast CT at our institution, with qualified image quality and no severe artifacts;
- Identified as high-risk for osteoporosis by the DeepBMD model;
- Had valid contact information available in the PACS, possessed normal cognitive and communication abilities, and was able to cooperate with telephone follow-ups and on-site examinations;
- Voluntarily participated in the study, was able to sign a written informed consent form on-site, and agreed to undergo DXA examination.
Age in the registry: 18 years to - · Sex: All · Does not accept healthy volunteers
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| Union Hospital, Tongji Medical College, Huazhong University of Science and Technology Coordinator of this site? Confirm its status | Wuhan | China | Unknown status |
This page is information, not medical advice. Discuss any trial with your doctor.