The early stages of osteoarthritis (OA) are associated with loss of proteoglycans (PGs), breakdown of the collagen matrix, and change in water content. Magnetic resonance imaging (MRI) is routinely used in the diagnosis of OA because of its high spatial resolution and excellent soft tissue contrast. Recent research has focused on establishing correlations between quantitative MRI measurements (T1, T2, T1r, and water content) and the biochemical properties of articular cartilage. While emphasis has been placed on the changes seen in cartilage, OA is a multifactorial disease involving different tissues and when one joint tissue deteriorates, it is likely to affect others and contribute to failure of the oint as a whole. A particular problem arises in MRI assessment because many joint tissues such as menisci, ligaments and tendons have T2s of only a few milliseconds. As a result they show little or no signal with conventional clinical spin echo (SE) or gradient echo (GE) sequences, which have typical echo times (TEs) of several milliseconds or longer. The lack of signal means that it is difficult or impossible to accurately measure their T1, T2, T1r and water content. Furthermore, water is present in both bound and free compartments within joint tissues. The bound water components have shorter T2s and are usually inaccessible with conventional clinical pulse sequences. We have developed UTE sequences with nominal TEs of 8 ?s which are 100-1000 times shorter than the TEs of conventional sequences, and allow us to detect water signals from MR """"""""invisible"""""""" tissues in the knee joint. In addition we have developed a spin-lock prepared UTE sequence to measure T1r, a T2-prepared UTE sequence to measure T2, a UTE PD sequence to measure water content, and UTE bi-component analysis to quantify the fractions of bound and free water components in the principal tissues of the knee joint. In this proposal, we will evaluate the sensitivity of both UTE and clinical sequences for evaluating PG depletion as well as changes in collagen microstructure and water content by studying relatively normal cadaveric patellae (n=40) and menisci (n=40) before and after sequential enzymatic treatment (Aim 1). Then we will compare UTE and clinical sequences for quantitative diagnosis of OA in cadaveric knees with normal (n=20) appearance as well as mild (n=20) and moderate (n=20) disease (Aim 2). Finally we will characterize patterns of knee joint degeneration in a cross sectional assessment of four groups of human subjects: normal controls (n=20), patients at risk of OA with knee pain but normal radiographs (n=20), patients with mild OA (n=20), and patients with moderate OA (n=20). We will correlate the UTE and conventional MR measurements with Kellgren-Lawrence, WOMAC, Tegner-Lysholm and IKDC clinical scores (Aim 3). Successful completion of the proposed work will provide new opportunities to characterize OA in a much more comprehensive and systematic way than has been possible with conventional clinical pulse sequences. This is likely to have a major impact on early detection in OA, monitoring disease progression, and assessing response to therapy.

Public Health Relevance

The goal of this project is to evaluate panels of ultrashort echo time (UTE) magnetic resonance imaging (MRI) based biomarkers, including UTE T1?, T2, and total, bound and free water content in the principal tissues of the knee joint, and apply these to the study of osteoarthritis (OA).

Agency
National Institute of Health (NIH)
Institute
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Type
Research Project (R01)
Project #
1R01AR062581-01A1
Application #
8437970
Study Section
Special Emphasis Panel (ZRG1-DTCS-A (81))
Program Officer
Lester, Gayle E
Project Start
2013-09-01
Project End
2017-08-31
Budget Start
2013-09-01
Budget End
2014-08-31
Support Year
1
Fiscal Year
2013
Total Cost
$446,424
Indirect Cost
$154,672
Name
University of California San Diego
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
804355790
City
La Jolla
State
CA
Country
United States
Zip Code
92093
Shao, H; Chang, E Y; Pauli, C et al. (2016) UTE bi-component analysis of T2* relaxation in articular cartilage. Osteoarthritis Cartilage 24:364-73
Ma, Ya-Jun; Shao, Hongda; Du, Jiang et al. (2016) Ultrashort echo time magnetization transfer (UTE-MT) imaging and modeling: magic angle independent biomarkers of tissue properties. NMR Biomed 29:1546-1552
Chen, Jun; Chang, Eric Y; Carl, Michael et al. (2016) Measurement of bound and pore water T1 relaxation times in cortical bone using three-dimensional ultrashort echo time cones sequences. Magn Reson Med :
Chen, Jun; Carl, Michael; Ma, Yajun et al. (2016) Fast volumetric imaging of bound and pore water in cortical bone using three-dimensional ultrashort-TE (UTE) and inversion recovery UTE sequences. NMR Biomed 29:1373-80
Ma, Ya-Jun; Chang, Eric Y; Bydder, Graeme M et al. (2016) Can ultrashort-TE (UTE) MRI sequences on a 3-T clinical scanner detect signal directly from collagen protons: freeze-dry and D2 O exchange studies of cortical bone and Achilles tendon specimens. NMR Biomed 29:912-7
Chang, Eric Y; Ma, Yajun; Du, Jiang (2016) MR Parametric Mapping as a Biomarker of Early Joint Degeneration. Sports Health 8:405-11
Carl, Michael; Bydder, Graeme M; Du, Jiang (2016) UTE imaging with simultaneous water and fat signal suppression using a time-efficient multispoke inversion recovery pulse sequence. Magn Reson Med 76:577-82
Chen, Jun; Grogan, Shawn P; Shao, Hongda et al. (2015) Evaluation of bound and pore water in cortical bone using ultrashort-TE MRI. NMR Biomed 28:1754-62
Chang, Eric Y; Du, Jiang; Bae, Won C et al. (2015) Qualitative and Quantitative Ultrashort Echo Time Imaging of Musculoskeletal Tissues. Semin Musculoskelet Radiol 19:375-86
Chang, Eric Y; Bae, Won C; Shao, Hongda et al. (2015) Ultrashort echo time magnetization transfer (UTE-MT) imaging of cortical bone. NMR Biomed 28:873-80

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