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

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 cl...

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Bibliographic Details
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
Description
Summary: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 ...

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