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Abstract

Objective: To investigate whether infrapatellar fat pad (IPFP) signal intensity (SI) alteration predicts the occurrence of knee replacement (KR) in knee osteoarthritis (OA) patients over 5 years.Design: The subjects were selected from Osteoarthritis Initiative (OAI) study. Case knees (n = 127) were defined as those who received KR during 5 years follow-up visit. They were matched by gender, age and radiographic status with control knees (n = 127). We used T2-weighted MR images to measure IPFP SI alteration using a newly developed algorithm in MATLAB. The measurements were assessed at baseline (BL), T0 (the visit just before KR) and 1 year before T0 (T-1). Conditional logistic regression was used to analyse the associations between IPFP SI alterations and the risk of KR.Results: Participants were mostly female (57%), with an average age of 63.7 years old and a mean body mass index (BMI) of 29.5 kg/m2. In multivariable analysis, the standard deviation (SD) of IPFP SI [sDev (IPFP)] and the ratio of high SI region volume to whole IPFP volume [Percentage (H)] measured at BL were significantly associated with increased risks of KR after adjustment for covariates. IPFP SI alterations measured at T-1 including sDev (IPFP), Percentage (H) and clustering effect of high SI [Clustering factor (H)] were significantly associated with higher risks of KR. All measurements were significantly associated with higher risks of KR at T0.Conclusions: IPFP SI is associated with the occurrence of KR suggesting it may play a role in end-stage knee OA.

Item Type:	Article
Authors/Creators:	Wang, K and Ding, C and Hannon, MJ and Chen, Z and Kwoh, CK and Lynch, J and Hunter, DJ
Keywords:	epidemiology, infrapatellar fat pad, magnetic resonance imaging, osteoarthritis
Journal or Publication Title:	Osteoarthritis and Cartilage
Publisher:	W B Saunders Co Ltd
ISSN:	1063-4584
DOI / ID Number:	https://doi.org/10.1016/j.joca.2018.05.015
Copyright Information:	Copyright 2018 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.
Related URLs:	Google Scholar: Ding, C UTAS Profile: Ding, C
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