A novel semi-automated classifier of hip osteoarthritis on DXA images shows expected relationships with clinical outcomes in UK Biobank.
Benjamin G FaberRaja EbsimFiona R SaundersMonika FryszClaudia LindnerJennifer S GregoryRichard M AspdenNicholas C W HarveyGeorge Davey SmithTimothy CootesJonathan H TobiasPublished in: Rheumatology (Oxford, England) (2022)
Our novel semi-automated tool provides a useful means for classifying rHOA on hip DXAs, given its strong and progressive relationships with clinical outcomes. These findings suggest DXA scanning can be used to classify rHOA in large DXA-based cohort studies supporting further research, with the future potential for population-based screening.
Keyphrases
- body composition
- deep learning
- bone mineral density
- machine learning
- dual energy
- high throughput
- total hip arthroplasty
- multiple sclerosis
- convolutional neural network
- rheumatoid arthritis
- high resolution
- computed tomography
- knee osteoarthritis
- cross sectional
- optical coherence tomography
- magnetic resonance
- risk assessment