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Signal intensity alteration and maximal area of pericruciate fat pad are associated with incident radiographic osteoarthritis: data from the Osteoarthritis Initiative

Version 2 2024-09-18, 23:37
Version 1 2023-05-21, 02:35
journal contribution
posted on 2024-09-18, 23:37 authored by Y Li, J Li, Z Zhu, P Cao, W Han, G Ruan, T Fan, DJ Hunter, Chang-Hai DingChang-Hai Ding

Objective: To determine whether pericruciate fat pad (PCFP) signal intensity alteration and maximal area are associated with incident radiographic osteoarthritis (ROA) over 4 years in the Osteoarthritis Initiative (OAI) study. Methods: Participants were from the Osteoarthritis Initiative (OAI) study. Case knees (n = 355) were defined by incident ROA between 12 and 48 months visits and were matched by sex, age, and radiographic status with control knees (n = 355). Magnetic resonance images (MRIs) were used to assess PCFP signal intensity alteration and PCFP maximal area at P0 (time of onset of ROA), P-1 (1 year prior to P0), and baseline. Conditional logistic regression analyses were applied to assess associations between PCFP measures and the risk of incident ROA. Results: The mean age of participants was 60.1 years and 66.9% were women. In multivariable analyses, PCFP signal intensity alteration measured at three time points (OR [95%CI]: 1.28 [1.10-1.50], 1.52 [1.30-1.78], 1.50 [1.27-1.76], respectively) and PCFP maximal area (OR [95%CI]: 1.21 [1.03-1.42], 1.27 [1.07-1.52], 1.37 [1.15-1.62], respectively) were significantly associated with incident ROA. Conclusions: PCFP signal intensity alteration and maximal area were associated with incident ROA over 4 years, implying that they may have roles to play in ROA.

History

Publication title

European Radiology

Volume

32

Issue

1

Pagination

489-496:8

ISSN

0938-7994

Department/School

Menzies Institute for Medical Research

Publisher

Springer-Verlag

Publication status

  • Published

Place of publication

175 Fifth Ave, New York, USA, Ny, 10010

Rights statement

Copyright European Society of Radiology 2021

Socio-economic Objectives

200101 Diagnosis of human diseases and conditions

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