The goal of this K23 Mentored Patient-Oriented Research Career Development Award proposal is to provide Gregory Chang, M.D., with a focused training period during which he will gain the skills to transition into an independent investigator in translational biomedical imaging research with a focus on musculoskeletal disease. The career development plan aims to strengthen Dr. Chang's skills and knowledge in three areas so that he may help bridge the gap between cutting edge imaging research and daily clinical practice. These areas include: 1) biology and clinical implications of osteoarthritis (pathogenesis, biomechanical considerations, rheumatologic and orthopedic issues in diagnosis and treatment);2) advanced magnetic resonance imaging (MRI) techniques (MR physics, pulse sequence design, image processing), and 3) design of patient-oriented, clinical radiology studies (biostatistics, epidemiology, clinical study design, training in scientific integrity and the responsible conduct of research). This will be achieved via close mentoring by world-class faculty and via multidisciplinary coursework and seminars, which will take place across a diversity of institutions at New York University (NYU). Mentorship will be provided by Steve Abramson, M.D., Peter Walker, Ph.D., Ravinder Regatte, Ph.D., and Michael Recht, M.D., who are world- renowned for their contributions to osteoarthritis biology, biomechanics, biomarker, and imaging research. Additional key consultants James Babb, Ph.D., Christian Glaser, M.D., and Punam Saha, Ph.D., will bring expertise in biostatistics, clinical study design, osteoarthritis imaging, and image processing, respectively. Multidisciplinary coursework and seminars will take place at: 1) the NYU School of Medicine within the Departments of Biostatistics, Radiology, Rheumatology, and Orthopedic Surgery, 2) the NYU Center of Excellence on Musculoskeletal Disease, and 3) the NIH-funded Clinical and Translational Science Institute (CTSI) of NYU and the New York City Health and Hospitals Corporation (HHC). Finally, an advisory committee will provide quarterly feedback to Dr. Chang and assess his progress so that he will have the track record and preliminary data required to successfully apply for RO1 funding by the end of the career development award period. The goal of the research plan is to identify novel microstructural and biochemical imaging biomarkers of osteoarthritis (OA) via ultra high field (UHF) 7 Tesla (T) sodium and proton MRI techniques. If successful, the expected results will enhance physicians'and scientists'understanding of OA pathogenesis, and suggest a potential noninvasive means for early diagnosis and more accurate monitoring/prediction of disease progression. OA is manifested by degeneration in articular cartilage (initially decreased proteoglycan content, followed by reduced thickness) and damage to subchondral bone (microfractures, osteophytosis). However, current imaging techniques utilized to diagnose osteoarthritis (radiographs, conventional MRI at 1.5-3T) are limited in that they can only detect macroscopic structural joint damage when it is largely irreversible. The overall hypothesis of this proposal is that high resolution, 7T sodium and proton MRI will be able to detect and quantify subtle decreases in cartilage thickness, volume, and proteoglycan content and subtle alterations in subchondral trabecular bone micro-architecture (trabecular thickness, number, separation, plate-to-rod ratio, and connectivity) in subjects with varying stages of OA. The main advantage of the UHF MR scanner is the increased intrinsic signal available, which allows measurement of cartilage proteoglycan content via sodium MRI as well as high resolution imaging of cartilage and bone microstructure via proton MRI. Using this unique combined anatomic and physiologic imaging approach, we will recruit healthy, early OA (Kellgren Lawrence radiographic grade 1-2), and advanced OA (Kellgren- Lawrence grade 3-4) subjects and perform the following specific aims.
In specific aim 1, we will determine whether 7T MR measures of cartilage and bone can detect disease presence and disease severity (distinguish healthy from early OA subjects, and early OA from advanced OA subjects).
In specific aim 2, we will determine whether longitudinal changes in 7 T MR Measures of cartilage and bone are indicative of disease progression as assessed by reference standards (radiographs, conventional MRI, and clinical questionnaires). Finally, in specific aim 3, we will determine whether baseline values of 7T MR measures of cartilage and bone predict disease progression as assessed by reference standards (radiographs, conventional MRI, and clinical questionnaires). In summary, via multidisciplinary coursework, close mentoring by world-class faculty, and participation in a carefully-designed research project in a rich academic environment, Dr. Chang will improve upon his ability to conduct patient-oriented, clinical studies utilizing novel MRI techniques, facilitating his transition into an independent investigator in translational musculoskeletal imaging research.)

Public Health Relevance

The proposed research aims to identify novel imaging measures of osteoarthritis using new technology, an ultra high field strength MRI scanner. The results will improve physicians'and scientists'understanding of how osteoarthritis develops and could suggest new ways to diagnose early osteoarthritis, as well as monitor and predict disease progression.

Agency
National Institute of Health (NIH)
Institute
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Type
Mentored Patient-Oriented Research Career Development Award (K23)
Project #
5K23AR059748-03
Application #
8451394
Study Section
Arthritis and Musculoskeletal and Skin Diseases Special Grants Review Committee (AMS)
Program Officer
Lester, Gayle E
Project Start
2011-04-01
Project End
2016-03-31
Budget Start
2013-04-01
Budget End
2014-03-31
Support Year
3
Fiscal Year
2013
Total Cost
$132,543
Indirect Cost
$9,818
Name
New York University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
121911077
City
New York
State
NY
Country
United States
Zip Code
10016
Chen, Cheng; Jin, Dakai; Liu, Yinxiao et al. (2016) Trabecular bone characterization on the continuum of plates and rods using in vivo MR imaging and volumetric topological analysis. Phys Med Biol 61:N478-N496
Griffin, Lindsay M; Honig, Stephen; Chen, Cheng et al. (2016) 7T MRI of distal radius trabecular bone microarchitecture: How trabecular bone quality varies depending on distance from end-of-bone. J Magn Reson Imaging :
Hotca, Alexandra; Ravichandra, Shreyas; Mikheev, Artem et al. (2015) Precision of volumetric assessment of proximal femur microarchitecture from high-resolution 3T MRI. Int J Comput Assist Radiol Surg 10:35-43
Hotca, Alexandra; Rajapakse, Chamith S; Cheng, Chen et al. (2015) In vivo measurement reproducibility of femoral neck microarchitectural parameters derived from 3T MR images. J Magn Reson Imaging 42:1339-45
Chang, Gregory; Honig, Stephen; Liu, Yinxiao et al. (2015) 7 Tesla MRI of bone microarchitecture discriminates between women without and with fragility fractures who do not differ by bone mineral density. J Bone Miner Metab 33:285-93
Chang, Gregory; Rajapakse, Chamith S; Regatte, Ravinder R et al. (2015) 3 Tesla MRI detects deterioration in proximal femur microarchitecture and strength in long-term glucocorticoid users compared with controls. J Magn Reson Imaging 42:1489-96
Chang, Gregory; Hotca-Cho, Alexandra; Rusinek, Henry et al. (2015) Measurement reproducibility of magnetic resonance imaging-based finite element analysis of proximal femur microarchitecture for in vivo assessment of bone strength. MAGMA 28:407-12
Chang, Gregory; Deniz, Cem M; Honig, Stephen et al. (2014) MRI of the hip at 7T: feasibility of bone microarchitecture, high-resolution cartilage, and clinical imaging. J Magn Reson Imaging 39:1384-93
Parasoglou, Prodromos; Xia, Ding; Chang, Gregory et al. (2014) Three-dimensional saturation transfer ³¹P-MRI in muscles of the lower leg at 3.0 T. Sci Rep 4:5219
Chang, Gregory; Deniz, Cem M; Honig, Stephen et al. (2014) Feasibility of three-dimensional MRI of proximal femur microarchitecture at 3 tesla using 26 receive elements without and with parallel imaging. J Magn Reson Imaging 40:229-38

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