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.

M.M. van Buuren, F.D. Boel, N.S. Riedstra, H. Ahedi, V. Arbabi, N.K. Arden, S.M. Bierma-Zeinstra, C.G. Boer, F.M. Cicuttini, T.F. Cootes, D.T. Felson, W.P. Gielis, G. Jones, S. Kluzek, N.E. Lane, C. Lindner, J. Lynch, J.B. van Meurs, A.E. Nelson, M.C. NevittE.H. Oei, J. Runhaar, T.D. Spector, J. Tang, H. Weinans, R. Agricola

Research output: Contribution to conferenceAbstractpeer-review

Abstract

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.
Original languageEnglish
PagesS36-S38
Number of pages3
DOIs
Publication statusPublished - Mar 2023
EventOARSI 2023 World Congress - , United States
Duration: 17 Mar 202320 Mar 2023
https://2023.oarsi.org/

Conference

ConferenceOARSI 2023 World Congress
Country/TerritoryUnited States
Period17/03/2320/03/23
Internet address

Fingerprint

Dive into the research topics of '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.'. Together they form a unique fingerprint.

Cite this