This competing renewal focuses on using Magnetic Resonance (MR) imaging at 3 Tesla to study oint degeneration and the manifested changes in articular cartilage, subchondral bone, peri-articular trabecular bone and bone marrow. Articular degeneration and progression of osteoarthritis (OA) may be preceded and/or accompanied by changes in subchondral and trabecular bone, and bone marrow. This competing renewal grant aims to utilize the strengths of our research environment and group and extend the study of OA to include trabecular bone structure measures, Tip of cartilage, and MR (proton) spectroscopy to characterize the adjoining bone marrow, in the study of OA. Using accepted parameters such as cartilage volume and T2 relaxation for comparison, we hypothesize that: ? T2 and T1p are independently associated with cartilage loss and longitudinal progression of OA; Changes of trabecular bone micro-architecture is associated with cartilage loss and progression of OA; MR spectroscopy (MRS) marrow fat/water contents are correlated with histological measurements, and bone marrow edema characteristics are different between OA and acute injury; In addition to size of bone marrow edema, bone marrow edema fat/water and unsaturated/saturated fat composition are associated with cartilage loss and progression of OA. To address these we have the following aims:
SPECIFIC AIM I : To evaluate the relationship of T2. T-inrelaxation times, and trabecular bone structure to cartilage loss and OA progression. Three groups of subjects (n=35/group) will be studied longitudinally for three years for Specific Aim I: healthy control population of subjects with no history of knee impairment; Group II, patients with mild arthritic symptoms and radiographic changes (Kellgren Lawrence score of 2); Group III,patients with severe pain and functional limitations associated with knee arthritis (KL score of 3,4).
SPECIFIC AIM II : To examine the MRS based water/fat compositions of bone marrow edema for patients with OA and acute injuries, and to evaluate their relationship to cartilage loss and OA progression. An additional cohort consisting of consist of patients with acute anterior cruciate ligament (ACL) injuries with associated osseous contusion (n=20) will also be followed.

Agency
National Institute of Health (NIH)
Institute
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Type
Research Project (R01)
Project #
5R01AR046905-10
Application #
7760584
Study Section
Special Emphasis Panel (ZRG1-MOSS-A (02))
Program Officer
Lester, Gayle E
Project Start
1999-09-17
Project End
2011-06-19
Budget Start
2010-02-01
Budget End
2011-06-19
Support Year
10
Fiscal Year
2010
Total Cost
$492,822
Indirect Cost
Name
University of California San Francisco
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94143
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Pedoia, Valentina; Haefeli, Jenny; Morioka, Kazuhito et al. (2018) MRI and biomechanics multidimensional data analysis reveals R2 -R1? as an early predictor of cartilage lesion progression in knee osteoarthritis. J Magn Reson Imaging 47:78-90
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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
Adusumilli, Gautam; Joseph, Solomon Eben; Samaan, Michael A et al. (2017) iPhone Sensors in Tracking Outcome Variables of the 30-Second Chair Stand Test and Stair Climb Test to Evaluate Disability: Cross-Sectional Pilot Study. JMIR Mhealth Uhealth 5:e166
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Samaan, Michael A; Facchetti, Luca; Pedoia, Valentina et al. (2017) Cyclops lesions are associated with altered gait patterns and medial knee joint cartilage degeneration at 1 year after ACL-reconstruction. J Orthop Res 35:2275-2281
Pedoia, Valentina; Li, Xiaojuan; Su, Favian et al. (2016) Fully automatic analysis of the knee articular cartilage T1? relaxation time using voxel-based relaxometry. J Magn Reson Imaging 43:970-80
Calixto, Nathaniel E; Kumar, Deepak; Subburaj, Karupppasamy et al. (2016) Zonal differences in meniscus MR relaxation times in response to in vivo static loading in knee osteoarthritis. J Orthop Res 34:249-61

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