Approximately 1 million people in the United States suffer from cartilage injuries every year. Traumatic knee injuries, often seen in otherwise healthy, active patients, commonly result in focal cartilage defects of the weight bearing articula surfaces of the knee. These defects can be sometimes asymptomatic, but swelling, pain and instability of the joint may occur. In addition, chronic degeneration of the cartilage due to alterd joint mechanics and loading may predispose the patient to the development of premature osteoarthritis (OA). Recent studies in the development of disease-modifying OA drugs (DMOADs) and cartilage repair therapies (bone marrow stimulation, tissue and cell-based techniques) are promising for the future management of disease. Ideally, any cartilage repair procedure would result in the regeneration of hyaline cartilage that has morphological, mechanical and biochemical properties similar to those of native cartilage. Therefore, there is a significant need for reliable, non-invasive MR biomarkers that could detect the early biochemical changes in cartilage even before morphological changes occur or in-vivo monitoring of cartilage repair procedures. The overarching goal of this proposal is to develop the hardware (dual tuned 23Na/1H knee coil array) and software (3D-FLORET-23Na- techniques) for in-vivo knee imaging on standard 3T clinical scanner. High- resolution, 23Na-(aggrecan) and 1H-(morphology, collagen) imaging of cartilage, along with improved RF coils, novel pulse sequences, image reconstructions, and visualization methods on 3T, will significantly improve the ability of clinicians to objectively monitor the efficacy of cartilage repair procedures. The proposed techniques developed will allow orthopaedic and trauma surgeons cutting-edge, powerful, noninvasive tools for diagnosis, pre-operative planning, and postoperative monitoring of cartilage repair through biochemical MRI. The outcome of this proposed study will significantly impact our ability for personalized treatment regimens and possibly prevent the development of premature OA.

Public Health Relevance

The current proposal will establish a powerful non-invasive imaging biomarker based on development of new hardware (flexible dual tuned knee array) and software (3D-FLORET sodium - MRI) that is clinically useful for assessment of cartilage repair procedures.

Agency
National Institute of Health (NIH)
Institute
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Type
Research Project (R01)
Project #
1R01AR067156-01
Application #
8797439
Study Section
Special Emphasis Panel (ZRG1-DTCS-A (81))
Program Officer
Lester, Gayle E
Project Start
2015-02-06
Project End
2019-11-30
Budget Start
2015-02-06
Budget End
2015-11-30
Support Year
1
Fiscal Year
2015
Total Cost
$367,866
Indirect Cost
$150,836
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
Menon, Rajiv G; Sharafi, Azadeh; Windschuh, Johannes et al. (2018) Bi-exponential 3D-T1? mapping of whole brain at 3?T. Sci Rep 8:1176
Zibetti, Marcelo V W; Baboli, Rahman; Chang, Gregory et al. (2018) Rapid compositional mapping of knee cartilage with compressed sensing MRI. J Magn Reson Imaging 48:1185-1198
Baboli, Rahman; Sharafi, Azadeh; Chang, Gregory et al. (2018) Isotropic morphometry and multicomponent T1 ? mapping of human knee articular cartilage in vivo at 3T. J Magn Reson Imaging 48:1707-1716
Madelin, Guillaume; Xia, Ding; Brown, Ryan et al. (2018) Longitudinal study of sodium MRI of articular cartilage in patients with knee osteoarthritis: initial experience with 16-month follow-up. Eur Radiol 28:133-142
Xia, Ding; Lee, Jae-Seung; Regatte, Ravinder R (2018) Quadrupolar jump-and-return pulse sequence for fluid-suppressed sodium MRI of the knee joint at 7T. Magn Reson Med 80:641-647
Sharafi, Azadeh; Chang, Gregory; Regatte, Ravinder R (2018) Biexponential T2 relaxation estimation of human knee cartilage in vivo at 3T. J Magn Reson Imaging 47:809-819
Zibetti, Marcelo V W; Sharafi, Azadeh; Otazo, Ricardo et al. (2018) Accelerating 3D-T1? mapping of cartilage using compressed sensing with different sparse and low rank models. Magn Reson Med 80:1475-1491
Sharafi, Azadeh; Chang, Gregory; Regatte, Ravinder R (2017) Bi-component T1? and T2 Relaxation Mapping of Skeletal Muscle In-Vivo. Sci Rep 7:14115
Chang, Gregory; Boone, Sean; Martel, Dimitri et al. (2017) MRI assessment of bone structure and microarchitecture. J Magn Reson Imaging 46:323-337
Lee, Jae-Seung; Regatte, Ravinder R; Jerschow, Alexej (2017) Magnetization transfer in a partly deuterated lyotropic liquid crystal by single- and dual-frequency RF irradiations. J Magn Reson 281:141-150

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