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A Study Evaluating the Performance of Using AI Software and Chest X-rays to Screen for Osteoporosis as Compared to Standard DXA Scans in Patients 50 Years and Older

A Retrospective Multi-centre Paired Accuracy Study to Evaluate the Performance of Osteo Signal Against the Dual-energy X-ray Absorptiometry (DXA) for Opportunistic Osteoporosis Screening.

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07421713
Enrollment
595
Registered
2026-02-19
Start date
2026-02-10
Completion date
2026-03-01
Last updated
2026-02-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Osteoporosis, Osteopenia

Keywords

Osteoporosis, Bone Diseases, Metabolic

Brief summary

The goal of this study is to assess the performance of an artificial intelligence software (Osteo Signal) in detecting osteoporosis risk in adults 50 years and older. The main question it aims to answer is: What is the accuracy of the software in detecting osteoporosis risk on chest x-ray images as compared to the standard technique of dual-energy x-ray absorptiometry (DXA)? There is no direct involvement of participants in this study as it will use data from individuals who have already had a chest x-ray and a DXA scan taken in the past.

Interventions

DEVICEOsteo Signal

Artificial Intelligence (AI) software

Sponsors

Promedius Inc
Lead SponsorINDUSTRY

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
50 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

1. Age ≥50 years at the time of chest X-ray 2. Availability of 1. Posteroanterior (PA) Chest X-ray and 2. DXA scan with a valid T-score measurement where both the DXA scan and Chest x-ray examinations were performed within 6 months (182 days) of each other and 3. Available X-ray and DXA scans performed on or after 01-Jan-2010. 3. Complete metadata (sex and age) available on PACS or hospital records.

Exclusion criteria

1. Non-diagnostic Quality or Incomplete Imaging of: 1. DXA scan inadequacy: Missing T-score from a technically inadequate scan. 2. PA Chest X-ray technical inadequacy: Non-PA projection, significant motion artefacts, inadequate visualisation of thoracic structures, or missing DICOM metadata. 3. Image format incompatibility: Non-DICOM format or corrupted image files that would prevent AI analysis 4. PA Chest X-ray \> ±6 months from the date of the DXA scan. 2. Previous diagnosis or treatment of Osteoporosis prior to the DXA scan used in the Study. 1. diagnosis of osteoporosis (T-score ≤-2.5), or current/recent anti- osteoporotic medications, within 12 months prior to the DXA scan used in the study. 2. Current or recent anti-osteoporotic medications for 3 months (91 days) continuously prior to the Chest x-ray used in the Study. 3. Diagnosis of any metabolic bone disease prior to the DXA scan used in the study. 4. Diagnosis of metabolic bone disease other than Osteoporosis or Osteopenia, up to a maximum of 3 months (91 days) after the DXA scan. 5. Major Chest Wall or Spinal Deformities, including but not limited to: 1. Severe structural deformities: Thoracic scoliosis with Cobb angle \>40°, severe kyphosis, or chest wall deformities (pectus excavatum/carinatum) affecting \>30% of the thoracic cage. 2. Surgical hardware: Previous thoracic/spinal surgery with metallic implants obscuring anatomical landmarks required for AI analysis. 3. Pathological conditions: Extensive pulmonary consolidation, pleural effusion, lesions or masses obscuring \>30% of thoracic skeletal structures 6. Subject has opted out of confidential data being used for research purposes

Design outcomes

Primary

MeasureTime frameDescription
Two class bone status classification (osteoporosis/non osteoporosis)At a time following the participant having had a chest x-ray and DXA scan within 6 months of each otherDevice output against the lowest DXA as measured by sensitivity, specificity, and area under the ROC curve (AUC)

Secondary

MeasureTime frameDescription
Three class bone status classification (osteoporosis/osteopenia/normal)At a time following the participant having had a chest x-ray and DXA scan within 6 months of each otherDevice output against the lowest DXA as measured by area under the ROC curve (AUC), overall per cent agreement, and weighted Cohen's kappa
Classification for osteoporosis and osteopeniaAt a time following the participant having had a chest x-ray and DXA scan within 6 months of each otherPositive predictive value (PPV) and negative predictive value (NPV) for osteoporosis and osteopenia classifications

Countries

Netherlands, United Kingdom

Contacts

CONTACTKim Bensalem
kim@medilife.net+447885369062
CONTACTJung Jinho
jhjung@promedius.ai+82 1083113509
PRINCIPAL_INVESTIGATORJacob J Visser, Musculoskeletal Radiologist

Erasmus Medical Center

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 20, 2026