TY - CONF
T1 - The association between statistical shape variations of the hip and the development of radiographic hip osteoarthritis within 8 years of follow-up: data from 17,738 hips in the world coach consortium.
AU - Buuren, M.M. van
AU - Boel, F.D.
AU - Riedstra, N.S.
AU - Ahedi, H.
AU - Arbabi, V.
AU - Arden, N.K.
AU - Bierma-Zeinstra, S.M.
AU - Boer, C.G.
AU - Cicuttini, F.M.
AU - Cootes, T.F.
AU - Felson, D.T.
AU - Gielis, W.P.
AU - Jones, G.
AU - Kluzek, S.
AU - Lane, N.E.
AU - Lindner, C.
AU - Lynch, J.
AU - Meurs, J.B. van
AU - Nelson, A.E.
AU - Nevitt, M.C.
AU - Oei, E.H.
AU - Runhaar, J.
AU - Spector, T.D.
AU - Tang, J.
AU - Weinans, H.
AU - Agricola, R.
PY - 2023/3
Y1 - 2023/3
N2 - Purpose: Hip osteoarthritis (OA) is a highly prevalent joint disease, and a leading cause of physical disability. Partly due to a lack of knowledge on its etiology, very limited effective preventive strategies currently exist. Hip morphology has been marked as an important risk factor for the development of hip OA, with variants such as cam morphology and acetabular dysplasia being the most established morphological risk factors. However, there may be other unknown morphological variants or a combination of morphological variants that also pose a risk. Statistical shape modeling (SSM) allows to quantify the whole projected shape of the proximal femur and hemipelvis, and may be used to identify these variants. The purpose of this study was to determine the association between baseline hip shape and the development of definite radiographic hip OA within 8 years of follow-up.
AB - Purpose: Hip osteoarthritis (OA) is a highly prevalent joint disease, and a leading cause of physical disability. Partly due to a lack of knowledge on its etiology, very limited effective preventive strategies currently exist. Hip morphology has been marked as an important risk factor for the development of hip OA, with variants such as cam morphology and acetabular dysplasia being the most established morphological risk factors. However, there may be other unknown morphological variants or a combination of morphological variants that also pose a risk. Statistical shape modeling (SSM) allows to quantify the whole projected shape of the proximal femur and hemipelvis, and may be used to identify these variants. The purpose of this study was to determine the association between baseline hip shape and the development of definite radiographic hip OA within 8 years of follow-up.
UR - http://dx.doi.org/10.1016/j.joca.2023.01.528
U2 - 10.1016/j.joca.2023.01.528
DO - 10.1016/j.joca.2023.01.528
M3 - Abstract
SP - S36-S38
T2 - OARSI 2023 World Congress
Y2 - 17 March 2023 through 20 March 2023
ER -