The purpose of the Imaging and Data Analysis Core (IDAC) is to provide all projects in the TOQIO with the infrastructure, expertise and tools to support customized imaging acquisition as well as image and data analysis, including 1) imaging sequence development, 2) image reconstruction and processing, 3) semi-quantitative clinical grading of images, 4) quantitative image analysis, 5) data integration and database development, and 6) statistical data analysis. Many of the procedures needed to provide this capability are novel and require specialized knowledge of imaging physics and mathematics as well as clinical aspects of osteoarthritis. This will require a close interaction between the researchers developing new imaging methodologies, computing specialists who develop reconstruction algorithms and software tools to perform quantitative analyses of the data, radiologists and other clinical investigators who will grade the images, and biostatisticians who contribute to the experimental design, hypothesis formulation and statistical analysis. It is anticipated that the Core will not only provide support for the four research projects and other pilot projects within the TOQIO, but will also act as a catalyst for introducing these technologies into a broad range of musculoskeletal translational research projects, throughout UCSF and its Clinical and Translational Science Institute (CTSI) and through the UC Davis Medical Center and its Clinical and Translational Science Center and other forms of outreach. The IDAC has three primary aims: 1) To provide quantitative magnetic resonance imaging sequences for tissues involved in osteoarthritis;2) To provide image grading and quantitative analysis;3) To provide Interpretation and statistical analysis of imaging and clinical data. The investigators involved in IDAC have established backgrounds in translational and basic research, including expertise in imaging sequence development, image processing, algorithm development, quantitative image analysis, MR and radiograph clinical grading and statistical analysis, with a focus on osteoarthritis. They have been performing studies that require similar expertise to the ones described in this application for many years and have developed a rapport that is critical for the highly collaborative and demanding studies that are being proposed. IDAC is also committed to disseminating information pertaining to the capabilities of the Core, increasing research collaborations, and providing educational sessions to major, minor users, residents, fellows and students. Its overarching goal will be to promote adoption of state-of-the-art imaging methodology in musculoskeletal research. In addition to the UCSF and UC Davis Medical Centers, the research images, software and data generated by TOQIO will be also available to researchers at other academic institutes upon request and with required paperwork.

Public Health Relevance

The purpose of the Imaging and Data Analysis Core (IDAC) is to provide all projects in the TOQIO with the infrastructure, expertise and tools to support customized imaging acquisition as well as image and data analysis. IDAC is also committed to the dissemination of information pertaining to the capabilities of the Core, and to promoting the adoption of state-of-the-art imaging methodology in musculoskeletal research.

Agency
National Institute of Health (NIH)
Institute
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Type
Specialized Center (P50)
Project #
1P50AR060752-01
Application #
8102421
Study Section
Special Emphasis Panel (ZAR1-KM (M1))
Project Start
Project End
Budget Start
2011-08-01
Budget End
2012-03-31
Support Year
1
Fiscal Year
2011
Total Cost
$228,660
Indirect Cost
Name
University of California San Francisco
Department
Type
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94143
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Samaan, Michael A; Schwaiger, Benedikt J; Gallo, Matthew C et al. (2017) Joint Loading in the Sagittal Plane During Gait Is Associated With Hip Joint Abnormalities in Patients With Femoroacetabular Impingement. Am J Sports Med 45:810-818
Pedoia, Valentina; Samaan, Michael A; Inamdar, Gaurav et al. (2017) Study of the interactions between proximal femur 3d bone shape, cartilage health, and biomechanics in patients with hip Osteoarthritis. J Orthop Res :
Samaan, Michael A; Pedoia, Valentina; Zhang, Alan L et al. (2017) A novel mr-based method for detection of cartilage delamination in femoroacetabular impingement patients. J Orthop Res :
Samaan, Michael A; Schwaiger, Benedikt J; Gallo, Matthew C et al. (2017) Abnormal Joint Moment Distributions and Functional Performance During Sit-to-Stand in Femoroacetabular Impingement Patients. PM R 9:563-570
Jenkins, N W; Talbott, J F; Shah, V et al. (2017) [18F]-Sodium Fluoride PET MR-Based Localization and Quantification of Bone Turnover as a Biomarker for Facet Joint-Induced Disability. AJNR Am J Neuroradiol 38:2028-2031
Pedoia, Valentina; Su, Favian; Amano, Keiko et al. (2017) Analysis of the articular cartilage T1? and T2 relaxation times changes after ACL reconstruction in injured and contralateral knees and relationships with bone shape. J Orthop Res 35:707-717
Russell, Colin; Pedoia, Valentina; Majumdar, Sharmila et al. (2017) Composite metric R2 ?-?R1? (1/T2 ?-?1/T1? ) as a potential MR imaging biomarker associated with changes in pain after ACL reconstruction: A six-month follow-up. J Orthop Res 35:718-729
Joseph, Gabby B; McCulloch, Charles E; Nevitt, Michael C et al. (2017) Medial femur T2 Z-scores predict the probability of knee structural worsening over 4-8 years: Data from the osteoarthritis initiative. J Magn Reson Imaging 46:1128-1136
Pedoia, Valentina; Gallo, Matthew C; Souza, Richard B et al. (2017) Longitudinal study using voxel-based relaxometry: Association between cartilage T1? and T2 and patient reported outcome changes in hip osteoarthritis. J Magn Reson Imaging 45:1523-1533

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