Osteoarthritis (OA) is a degenerative joint disease, affecting more than 27 million people in the United States alone. By 2030 approximately 67 million people will be affected by OA. This large affected population and the severe consequent debility of OA lead to significant expenses to the health care system. OA is characterized by biochemical, structural and morphologic degradation of components of the extracellular matrix (ECM) of articular cartilage. The ECM is composed of primarily two groups of macromolecules including proteoglycan (PG) and collagen fibers. Early diagnosis of cartilage degeneration would require the ability to non-invasively detect changes in PG concentration and collagen integrity before morphological changes occur. T1? and T2 relaxation times are affected by these pathological processes and are the most widely used biochemical cartilage MRI sequences worldwide. Several researchers have demonstrated that the T1? relaxation time is more sensitive to proteoglycan content of the cartilage, while T2 relaxation time is more sensitive to collagen orientation and integrity of network and hydration. These imaging biomarkers have potential to detect early stages of the disease (pre-clinical), quantitatively assess disease severity, monitor disease progression and possibly monitor OA therapy. The overarching goal of this proposal is to develop, evaluate and translate highly accelerated 3D-T1? and T2 mapping (each protocol under 5 minutes) for in-vivo knee OA applications on a standard clinical 3T scanner employing novel compressed sensing (CS) and parallel imaging (PI) strategies. The proposed accelerated 3D- T1? and T2 mapping techniques can be easily incorporated into routine clinical protocols for biochemical assessment of cartilage in addition to standard morphological evaluation and could serve as future imaging biomarkers for disease modifying therapies for OA. The outcome of this proposed study will significantly impact our ability for personalized treatment regimens and possibly prevent the development of premature OA. Finally, we intend on disseminating the sequences to other academic sites for widespread implementation and future multicenter studies.

Public Health Relevance

The current proposal will establish a powerful non-invasive imaging biomarker based on development of rapid relaxation mapping with compressed sensing that is clinically useful for assessment of early OA.

National Institute of Health (NIH)
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Research Project (R01)
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Special Emphasis Panel (ZRG1)
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Zheng, Xincheng
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New York University
Schools of Medicine
New York
United States
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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; Xia, Ding; Chang, Gregory et al. (2017) Biexponential T1? relaxation mapping of human knee cartilage in vivo at 3 T. NMR Biomed 30:
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

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