Magnetic Resonance Imaging-Based Semiquantitative and Quantitative Assessment in Osteoarthritis

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Whole Joint Assessment on Magnetic Resonance Imaging of the Knee

Whole organ assessment of scoring different joint structures on MRI has shown adequate reliability, specificity, and sensitivity, as well as an ability to detect lesion progression.13, 21, 27, 34, 35 To date, 3 SQ scoring systems for whole organ assessment of knee OA have been published and have been applied in epidemiologic studies or clinical trials: the Whole Organ Magnetic Resonance Imaging Score (WORMS),13 the Knee Osteoarthritis Scoring System (KOSS),21 and the Boston-Leeds Osteoarthritis

Quantitative measurement of cartilage in osteoarthritis

Quantitative measurement of the cartilage exploits the 3D nature of MRI data sets to assess tissue dimensions (ie, volume, thickness, or others) or signal as continuous variables (Fig. 18). The strength of this approach is that it is less observer dependent and more objective than scoring methods, and that relatively small changes in cartilage morphology over time, which occur over larger areas, may be detected, although they are not apparent to the naked eye. Recently it was reported that

Future directions

The OAI is a recent large research study jointly sponsored by public institutions such as the National Institutes of Health and the National Institute of Arthritis and Musculoskeletal and Skin Diseases, and the pharmaceutical industry, with almost 5000 participants being studied for a period of 4 years using 3 T MRI (approximately 1500 with symptomatic and radiographic OA and approximately 3500 with risk factors of OA). Year-4 acquisitions have begun and baseline, year-1, and year-2 follow-up

Summary

With several large, currently ongoing epidemiologic studies, huge amounts of image data are being acquired and, in the case of the OAI, made publicly available. These data will allow the research community ample opportunity to use SQ, quantitative, and compositional MRI assessment to deepen knowledge on risk factors for disease development and progression. In addition, novel analytical approaches will have to be developed to define those subcohorts that will be of relevance for answering

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References (167)

  • F.W. Roemer et al.

    Semiquantitative assessment of synovitis in osteoarthritis on non contrast-enhanced MRI

    Osteoarthritis Cartilage

    (2009)
  • M.L. Davies-Tuck et al.

    The natural history of cartilage defects in people with knee osteoarthritis

    Osteoarthritis Cartilage

    (2008)
  • C.G. Peterfy et al.

    The osteoarthritis initiative: report on the design rationale for the magnetic resonance imaging protocol for the knee

    Osteoarthritis Cartilage

    (2008)
  • S.D. Pathak et al.

    Quantitative image analysis: software systems in drug development trials

    Drug Discov Today

    (2003)
  • Z.A. Cohen et al.

    Knee cartilage topography, thickness, and contact areas from MRI: in-vitro calibration and in-vivo measurements

    Osteoarthritis Cartilage

    (1999)
  • T. Stammberger et al.

    Interobserver reproducibility of quantitative cartilage measurements: comparison of B-spline snakes and manual segmentation

    Magn Reson Imaging

    (1999)
  • E.J. McWalter et al.

    Use of novel interactive input devices for segmentation of articular cartilage from magnetic resonance images

    Osteoarthritis Cartilage

    (2005)
  • S. Koo et al.

    Considerations in measuring cartilage thickness using MRI: factors influencing reproducibility and accuracy

    Osteoarthritis Cartilage

    (2005)
  • A.A. Qazi et al.

    Separation of healthy and early osteoarthritis by automatic quantification of cartilage homogeneity

    Osteoarthritis Cartilage

    (2007)
  • J. Hohe et al.

    A technique for 3D in vivo quantification of proton density and magnetization transfer coefficients of knee joint cartilage

    Osteoarthritis Cartilage

    (2000)
  • J. Hohe et al.

    Three-dimensional analysis and visualization of regional MR signal intensity distribution of articular cartilage

    Med Eng Phys

    (2002)
  • F. Eckstein et al.

    Proposal for a nomenclature for magnetic resonance imaging based measures of articular cartilage in osteoarthritis

    Osteoarthritis Cartilage

    (2006)
  • I.G. Otterness et al.

    Women have thinner cartilage and smaller joint surfaces than men after adjustment for body height and weight

    Osteoarthritis Cartilage

    (2007)
  • Y. Wang et al.

    Factors affecting progression of knee cartilage defects in normal subjects over 2 years

    Rheumatology (Oxford)

    (2006)
  • Z.A. Cohen et al.

    Templates of the cartilage layers of the patellofemoral joint and their use in the assessment of osteoarthritic cartilage damage

    Osteoarthritis Cartilage

    (2003)
  • F. Eckstein et al.

    Accuracy of cartilage volume and thickness measurements with magnetic resonance imaging

    Clin Orthop Relat Res

    (1998)
  • R. Burgkart et al.

    Magnetic resonance imaging-based assessment of cartilage loss in severe osteoarthritis: accuracy, precision, and diagnostic value

    Arthritis Rheum

    (2001)
  • F. Cicuttini et al.

    Comparison and reproducibility of fast and conventional spoiled gradient-echo magnetic resonance sequences in the determination of knee cartilage volume

    J Orthop Res

    (2000)
  • L.S. Broderick et al.

    Severity of articular cartilage abnormality in patients with osteoarthritis: evaluation with fast spin-echo MR vs arthroscopy

    AJR Am J Roentgenol

    (1994)
  • W.P. Chan et al.

    Osteoarthritis of the knee: comparison of radiography, CT, and MR imaging to assess extent and severity

    AJR Am J Roentgenol

    (1991)
  • W.D. Blackburn et al.

    Arthroscopic evaluation of knee articular cartilage: a comparison with plain radiographs and magnetic resonance imaging

    J Rheumatol

    (1994)
  • D. Burstein et al.

    MRI techniques in early stages of cartilage disease

    Invest Radiol

    (2000)
  • D. Burstein et al.

    Protocol issues for delayed Gd(DTPA) (2-)-enhanced MRI (dGEMRIC) for clinical evaluation of articular cartilage

    Magn Reson Med

    (2001)
  • M.L. Gray et al.

    Magnetization transfer in cartilage and its constituent macromolecules

    Magn Reson Med

    (1995)
  • T. Kimelman et al.

    Three-dimensional T1 mapping for dGEMRIC at 3.0 T using the Look Locker method

    Invest Radiol

    (2006)
  • S. Biswal et al.

    Risk factors for progressive cartilage loss in the knee: a longitudinal magnetic resonance imaging study in forty-three patients

    Arthritis Rheum

    (2002)
  • D.J. Hunter et al.

    The association of meniscal pathologic changes with cartilage loss in symptomatic knee osteoarthritis

    Arthritis Rheum

    (2006)
  • M. Zanetti et al.

    Bone marrow edema pattern in osteoarthritic knees: correlation between MR imaging and histologic findings

    Radiology

    (2000)
  • X.V. Pham et al.

    Magnetic resonance imaging changes in periarticular soft tissues during flares of medial compartment knee osteoarthritis. Preliminary study in 10 patients

    Rev Rhum Engl Ed

    (1999)
  • D.T. Felson et al.

    The association of bone marrow lesions with pain in knee osteoarthritis

    Ann Intern Med

    (2001)
  • C.L. Hill et al.

    Knee effusions, popliteal cysts, and synovial thickening: association with knee pain in osteoarthritis

    J Rheumatol

    (2001)
  • P.R. Kornaat et al.

    MRI assessment of knee osteoarthritis: Knee Osteoarthritis Scoring System (KOSS)–inter-observer and intra-observer reproducibility of a compartment-based scoring system

    Skeletal Radiol

    (2005)
  • D.J. Hunter et al.

    The reliability of a new scoring system for knee osteoarthritis MRI and the validity of bone marrow lesion assessment: BLOKS (Boston Leeds Osteoarthritis Knee Score)

    Ann Rheum Dis

    (2008)
  • C.G. Peterfy et al.

    Whole-organ evaluation of the knee in osteoarthritis using MRI (abstract)

    Ann Rheum Dis

    (1999)
  • A. Guermazi et al.

    Magnetic resonance imaging prevalence of different features of knee osteoarthritis in persons with normal knee x-rays

    Arhritis Rheum

    (2007)
  • G. Hernandez-Molina et al.

    The association of bone attrition with knee pain and other MRI features of osteoarthritis

    Ann Rheum Dis

    (2008)
  • D.T. Felson et al.

    Bone marrow edema and its relation to progression of knee osteoarthritis

    Ann Intern Med

    (2003)
  • D.T. Felson et al.

    Correlation of the development of knee pain with enlarging bone marrow lesions on magnetic resonance imaging

    Arthritis Rheum

    (2007)
  • M. Englund et al.

    Incidental meniscal findings on knee MRI in middle-aged and elderly persons

    N Engl J Med

    (2008)
  • M. Englund et al.

    Meniscal tear in knees without surgery and the development of radiographic osteoarthritis among middle-aged and elderly persons: the Multicenter Osteoarthritis Study

    Arthritis Rheum

    (2009)
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    A version of this article originally appeared in the 47:4 issue of Radiologic Clinics of North America.

    Disclosure: A.G. is president of Boston Imaging Core Lab, LLC (BICL), Boston, MA, a company providing radiological image assessment services. He is shareholder of Synarc, Inc. F.W.R. is shareholder of BICL. F.E. is co-owner and CEO of Chondrometrics GmbH; he provides consulting services to Pfizer Inc, Merck Serono Inc, Wyeth Inc, Novo Nordisk Inc, and Novartis Inc.

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