A novel classifier of radiographic knee osteoarthritis for use on knee DXA images is predictive of joint replacement in UK Biobank
Our DXA-derived measure of rKOA demonstrated a progressive relationship with clinical outcomes. These findings support the use of DXA for classifying rKOA in large epidemiological studies and in future population-based screening.
Authors
- Claudia Lindner (ORCID: https://orcid.org/0000-0001-9396-3436)
- J.S. Gregory (ORCID: https://orcid.org/0000-0002-6328-4560)
- Raja Ebsim (ORCID: https://orcid.org/0000-0002-1875-5503)
- Fiona R. Saunders (ORCID: https://orcid.org/0000-0001-7130-6777)
- Nicholas C. Harvey (ORCID: https://orcid.org/0000-0002-8194-2512)
- T.F. Cootes (ORCID: https://orcid.org/0000-0002-2695-9063)
- Benjamin G Faber (ORCID: https://orcid.org/0000-0003-4102-0190)
- Rhona Beynon (ORCID: https://orcid.org/0000-0001-5494-9519)
- R.M. Aspden (ORCID: https://orcid.org/0000-0002-0693-1194)
- Jonathan H. Tobias (ORCID: https://orcid.org/0000-0002-7475-3932)
- Mijin Jung
Institutions
- University of Aberdeen (GB)
- Manchester Academic Health Science Centre (GB)
- University Hospital Southampton NHS Foundation Trust (GB)
- University of Manchester (GB)
- University of Bristol (GB)
- NIHR Southampton Biomedical Research Centre (GB)
- MRC Lifecourse Epidemiology Unit (GB)
- University of Southampton (GB)
- Manchester University (US)
- Medical Research Council (GB)
Publication Details
- Journal
- Rheumatology Advances in Practice
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1093/rap/rkaf009
- Citations
- 1
- Primary Topic
- Osteoarthritis Treatment and Mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 0.47
Funders
- Wellcome Trust
- National Institute for Health and Care Research
- University of Aberdeen
- National Institute for Health Research Southampton Biomedical Research Centre
- Medical Research Council