Lateral compartment knee tibio-femoral radiographic osteoarthritis (TFROA) is associated with pain and disability, and studies of this form of knee OA are few. Recent studies find that race, pelvic anatomy and malalignment are associated with TFROA. Previous studies of knee OA have either combined medial and lateral compartment TFROA or have focused on medial compartment disease. We intend to elucidate the risk factors for and health outcomes of lateral compartment TFROA. Specifically we will (1) examine the association of lesions detected by MRI with lateral compartment TFROA;(2) examine known risk factors for medial compartment OA and their relation to prevalent and incident lateral compartment TFROA;(3) examine novel risk factors (e.g., hip and knee shape) that likely have compartment-specific effects and their relation to prevalent and incident lateral compartment TFROA;(4) examine the association of lateral compartment TFROA with incident functional impairment. We will use information collected in the Osteoarthritis Initiative (OAI) including longitudinal knee and hip x-ray and 3.0 Tesla MRI scans as well as detailed repeated risk factor, pain, and outcomes data. This proposed study will be one of the first done in a large, well-defined cohort with excellent follow-up, imaging and data collection of known and potential risk factors to focus specifically on lateral compartment TFROA.

Public Health Relevance

This research will examine the risk factors and health outcomes for a subset of knee osteoarthritis that is the lateral compartment of the knee using magnetic resonance imaging and regular x-rays. This will provide a greater understanding of the causes of functional impairment in this type of knee osteoarthritis and the progression to end stage of this disease. This will help to identify osteoarthritis patients who would be most likely to progress and to become disabled so that an effective treatment plan ca.0 be put into place to improve outcomes.

Agency
National Institute of Health (NIH)
Institute
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Type
Specialized Center (P50)
Project #
5P50AR060752-04
Application #
8712114
Study Section
Special Emphasis Panel (ZAR1-KM)
Project Start
Project End
Budget Start
2014-08-01
Budget End
2015-07-31
Support Year
4
Fiscal Year
2014
Total Cost
$239,650
Indirect Cost
Name
University of California San Francisco
Department
Type
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94143
Rossi-deVries, Jasmine; Pedoia, Valentina; Samaan, Michael A et al. (2018) Using multidimensional topological data analysis to identify traits of hip osteoarthritis. J Magn Reson Imaging 48:1046-1058
Norman, Berk; Pedoia, Valentina; Majumdar, Sharmila (2018) Use of 2D U-Net Convolutional Neural Networks for Automated Cartilage and Meniscus Segmentation of Knee MR Imaging Data to Determine Relaxometry and Morphometry. Radiology 288:177-185
Wise, Barton L; Niu, Jingbo; Zhang, Yuqing et al. (2018) Bone shape mediates the relationship between sex and incident knee osteoarthritis. BMC Musculoskelet Disord 19:331
Joseph, Gabby B; McCulloch, Charles E; Nevitt, Michael C et al. (2018) Tool for osteoarthritis risk prediction (TOARP) over 8 years using baseline clinical data, X-ray, and MRI: Data from the osteoarthritis initiative. J Magn Reson Imaging 47:1517-1526
Joseph, G B; Nevitt, M C; McCulloch, C E et al. (2018) Associations between molecular biomarkers and MR-based cartilage composition and knee joint morphology: data from the Osteoarthritis Initiative. Osteoarthritis Cartilage 26:1070-1077
Amano, Keiko; Huebner, Janet L; Stabler, Thomas V et al. (2018) Synovial Fluid Profile at the Time of Anterior Cruciate Ligament Reconstruction and Its Association With Cartilage Matrix Composition 3 Years After Surgery. Am J Sports Med 46:890-899
Samaan, Michael A; Pedoia, Valentina; Zhang, Alan L et al. (2018) A novel mr-based method for detection of cartilage delamination in femoroacetabular impingement patients. J Orthop Res 36:971-978
Hofmann, Felix C; Neumann, Jan; Heilmeier, Ursula et al. (2018) Conservatively treated knee injury is associated with knee cartilage matrix degeneration measured with MRI-based T2 relaxation times: data from the osteoarthritis initiative. Skeletal Radiol 47:93-106
Pedoia, Valentina; Samaan, Michael A; Inamdar, Gaurav et al. (2018) Study of the interactions between proximal femur 3d bone shape, cartilage health, and biomechanics in patients with hip Osteoarthritis. J Orthop Res 36:330-341
Teng, Hsiang-Ling; Pedoia, Valentina; Link, Thomas M et al. (2018) Local associations between knee cartilage T1? and T2 relaxation times and patellofemoral joint stress during walking: A voxel-based relaxometry analysis. Knee 25:406-416

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