Fracture risk scores using output from an opportunistic screen of low bone density from conventional X-ray
Fracture risk is commonly assessed by FRAX, a tool that estimates 10-yr risk for major osteoporotic fracture (MOF) and hip fracture. FRAX scores are often refined by including FN BMD measured by DXA as an input. Rho, a novel AI-powered software, estimates FN BMD T-Scores from conventional X-rays, even when FN is not in the image. Whether a FRAX score using this estimate (FRAX-Rho) can improve a FRAX score without a T-Score input (FRAX-NoT) has not been studied. We conducted a retrospective analysis of Canadian Multicentre Osteoporosis Study participants who had X-rays of the lumbar and/or thoracic spine, FRAX risk factors, and DXA T-Scores acquired at the same time point, and follow-up fracture outcomes over 9 yr. In 1361 participants with lumbar X-rays, FRAX-Rho and FRAX with DXA FN T-Scores (FRAX-DXA) had very good agreement in categorizing participants by MOF risk (Cohen's weighted kappa κ = 0.80 [0.77-0.82]), which tended to be better than that between FRAX-NoT and FRAX-DXA (0.76 [0.73-0.79]). Agreement in categorizing participants by hip fracture risk was significantly greater between FRAX-Rho and FRAX-DXA (0.67 [0.63-0.71]) than FRAX-NoT and FRAX-DXA (0.52 [0.48-0.56]). In predicting true incident MOF, FRAX-Rho and FRAX-DXA did not differ in their discriminative power (c-index) (0.76 and 0.77; p = .36); both were significantly greater than that of FRAX-NoT (0.73; p < .004). The accuracy of FRAX-Rho for predicting MOF (Brier Score) was better than FRAX-NoT (p < .05) but not as good as FRAX-DXA. Similar results were observed in participants with thoracic X-rays. In conclusion, FN T-Scores estimated by Rho from lumbar and thoracic X-rays add value to FRAX-NoT estimates and may be useful for risk assessment when DXA is not available.
Authors
- Claudie Berger (ORCID: https://orcid.org/0000-0002-5499-2661)
- David Goltzman (ORCID: https://orcid.org/0000-0003-3421-7147)
- Alexander Bilbily
- Mark Cicero (ORCID: https://orcid.org/0000-0002-6719-4888)
- Suzanne N. Morin (ORCID: https://orcid.org/0000-0002-4317-492X)
- Jonathan D. Adachi (ORCID: https://orcid.org/0000-0001-9142-2767)
- Catriona Syme (ORCID: https://orcid.org/0000-0002-4909-4410)
Institutions
- Sunnybrook Health Science Centre (CA)
- University of Toronto (CA)
- North York General Hospital (CA)
- McGill University Health Centre (CA)
- Health Sciences Centre (CA)
- BitCan (Canada) (CA)
- True (United States) (US)
- McGill University (CA)
- McMaster University (CA)
Publication Details
- Journal
- Journal of Bone and Mineral Research
- Published
- 2025-08-19
- DOI
- https://doi.org/10.1093/jbmr/zjaf113
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00