Quantitative 3D imaging parameters improve prediction of hip osteoarthritis outcome. ...

• Main Authors: Turmezei, TD, Treece, GM, Gee, AH, Sigurdsson, S, Jonsson, H, Aspelund, T, Gudnason, V, Poole, KES
• Format: Article in Journal/Newspaper
• Language: English
• Published: Springer Science and Business Media LLC 2020
• Subjects: Adult; Aged; Case-Control Studies; Female; Hip Joint; Humans; Imaging, Three-Dimensional; Male; Middle Aged; Odds Ratio; Osteoarthritis, Hip; Reykjavík
• Online Access: https://dx.doi.org/10.17863/cam.48802; https://www.repository.cam.ac.uk/handle/1810/301730

Osteoarthritis is an increasingly important health problem for which the main treatment remains joint replacement. Therapy developments have been hampered by a lack of biomarkers that can reliably predict disease, while 2D radiographs interpreted by human observers are still the gold standard for clinical trial imaging assessment. We propose a 3D approach using computed tomography-a fast, readily available clinical technique-that can be applied in the assessment of osteoarthritis using a new quantitative 3D analysis technique called joint space mapping (JSM). We demonstrate the application of JSM at the hip in 263 healthy older adults from the AGES-Reykjavík cohort, examining relationships between 3D joint space width, 3D joint shape, and future joint replacement. Using JSM, statistical shape modelling, and statistical parametric mapping, we show an 18% improvement in prediction of joint replacement using 3D metrics combined with radiographic Kellgren & Lawrence grade (AUC 0.86) over the existing 2D ...