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.
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.
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.
Inclusion Criteria:
Age ≥50 years at the time of chest X-ray
Availability of
Complete metadata (sex and age) available on PACS or hospital records.
Exclusion Criteria:
Non-diagnostic Quality or Incomplete Imaging of:
Previous diagnosis or treatment of Osteoporosis prior to the DXA scan used in the Study.
Diagnosis of any metabolic bone disease prior to the DXA scan used in the study.
Diagnosis of metabolic bone disease other than Osteoporosis or Osteopenia, up to a maximum of 3 months (91 days) after the DXA scan.
Major Chest Wall or Spinal Deformities, including but not limited to:
Subject has opted out of confidential data being used for research purposes
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