K Wang1, C Ding2, M J Hannon3, Z Chen4, C K Kwoh5, J Lynch6, D J Hunter7. 1. Arthritis Research Institute, Department of Rheumatology, 1st Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China; Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia. 2. Arthritis Research Institute, Department of Rheumatology, 1st Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China; Department of Rheumatology, Royal North Shore Hospital and Institute of Bone and Joint Research, Kolling Institute, University of Sydney, Australia; Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia; Clinical Research Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China. Electronic address: Changhai.Ding@utas.edu.au. 3. Division of Rheumatology and Clinical Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. 4. Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia; School of Mathematics and Information Science, Nanjing Normal University of Special Education, China. 5. University of Arizona Arthritis Center, Division of Rheumatology, University of Arizona College of Medicine, Tucson, AZ, USA. 6. Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA. 7. Department of Rheumatology, Royal North Shore Hospital and Institute of Bone and Joint Research, Kolling Institute, University of Sydney, Australia.
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.
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.
Authors: Thomas A Perry; Xiaotian Yang; James van Santen; Nigel K Arden; Stefan Kluzek Journal: Rheumatology (Oxford) Date: 2021-04-06 Impact factor: 7.580