Semiquantitative Imaging Biomarkers of Knee Osteoarthritis Progression

Data From the Foundation for the National Institutes of Health Osteoarthritis Biomarkers Consortium

Jamie E. Collins, Elena Losina, Michael C. Nevitt, Frank W. Roemer, Ali Guermazi, John A. Lynch, Jeffrey N. Katz, Chian K Kwoh, Virginia B. Kraus, David J. Hunter

Research output: Contribution to journalArticle

39 Citations (Scopus)

Abstract

Objective: To determine the association between changes in semiquantitative magnetic resonance imaging (MRI) biomarkers over 24 months and radiographic and pain progression over 48 months in knees with mild-to-moderate osteoarthritis (OA). Methods: We undertook a nested case–control study as part of the Foundation for the National Institutes of Health Biomarkers Consortium Project. We used multivariable logistic regression models to examine the association between change over 24 months in semiquantitative MRI markers and radiographic and pain progression in knee OA. MRIs were read according to the MRI OA Knee Score system. We focused on changes in cartilage, osteophytes, meniscus, bone marrow lesions, Hoffa-synovitis, and effusion-synovitis. Results: The most parsimonious model included changes in cartilage thickness and surface area, effusion-synovitis, Hoffa-synovitis, and meniscal morphology (C statistic 0.740). Compared with no worsening, worsening in cartilage thickness in ≥3 subregions was associated with 2.8-fold (95% confidence interval [95% CI] 1.3–5.9) greater odds of being a case, and worsening in cartilage surface area in ≥3 subregions was associated with 2.4-fold (95% CI 1.3–4.4) greater odds of being a case. Worsening of meniscal morphology in any region was associated with 2.2-fold (95% CI 1.3–3.8) greater odds of being a case. Worsening effusion-synovitis and Hoffa-synovitis were also associated with a greater odds of being a case (odds ratios 2.7 and 2.0, respectively). Conclusion: Twenty-four–month changes in cartilage thickness, cartilage surface area, effusion-synovitis, Hoffa-synovitis, and meniscal morphology were independently associated with OA progression, suggesting that these factors may serve as efficacy biomarkers in clinical trials of disease-modifying interventions for knee OA.

Original languageEnglish (US)
Pages (from-to)2422-2431
Number of pages10
JournalArthritis and Rheumatology
Volume68
Issue number10
DOIs
StatePublished - Oct 1 2016

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Synovitis
Knee Osteoarthritis
National Institutes of Health (U.S.)
Osteoarthritis
Biomarkers
Cartilage
Magnetic Resonance Imaging
Confidence Intervals
Logistic Models
Osteophyte
Pain
Knee
Bone Marrow
Odds Ratio
Clinical Trials

ASJC Scopus subject areas

  • Immunology and Allergy
  • Rheumatology
  • Immunology

Cite this

Semiquantitative Imaging Biomarkers of Knee Osteoarthritis Progression : Data From the Foundation for the National Institutes of Health Osteoarthritis Biomarkers Consortium. / Collins, Jamie E.; Losina, Elena; Nevitt, Michael C.; Roemer, Frank W.; Guermazi, Ali; Lynch, John A.; Katz, Jeffrey N.; Kwoh, Chian K; Kraus, Virginia B.; Hunter, David J.

In: Arthritis and Rheumatology, Vol. 68, No. 10, 01.10.2016, p. 2422-2431.

Research output: Contribution to journalArticle

Collins, Jamie E. ; Losina, Elena ; Nevitt, Michael C. ; Roemer, Frank W. ; Guermazi, Ali ; Lynch, John A. ; Katz, Jeffrey N. ; Kwoh, Chian K ; Kraus, Virginia B. ; Hunter, David J. / Semiquantitative Imaging Biomarkers of Knee Osteoarthritis Progression : Data From the Foundation for the National Institutes of Health Osteoarthritis Biomarkers Consortium. In: Arthritis and Rheumatology. 2016 ; Vol. 68, No. 10. pp. 2422-2431.
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abstract = "Objective: To determine the association between changes in semiquantitative magnetic resonance imaging (MRI) biomarkers over 24 months and radiographic and pain progression over 48 months in knees with mild-to-moderate osteoarthritis (OA). Methods: We undertook a nested case–control study as part of the Foundation for the National Institutes of Health Biomarkers Consortium Project. We used multivariable logistic regression models to examine the association between change over 24 months in semiquantitative MRI markers and radiographic and pain progression in knee OA. MRIs were read according to the MRI OA Knee Score system. We focused on changes in cartilage, osteophytes, meniscus, bone marrow lesions, Hoffa-synovitis, and effusion-synovitis. Results: The most parsimonious model included changes in cartilage thickness and surface area, effusion-synovitis, Hoffa-synovitis, and meniscal morphology (C statistic 0.740). Compared with no worsening, worsening in cartilage thickness in ≥3 subregions was associated with 2.8-fold (95{\%} confidence interval [95{\%} CI] 1.3–5.9) greater odds of being a case, and worsening in cartilage surface area in ≥3 subregions was associated with 2.4-fold (95{\%} CI 1.3–4.4) greater odds of being a case. Worsening of meniscal morphology in any region was associated with 2.2-fold (95{\%} CI 1.3–3.8) greater odds of being a case. Worsening effusion-synovitis and Hoffa-synovitis were also associated with a greater odds of being a case (odds ratios 2.7 and 2.0, respectively). Conclusion: Twenty-four–month changes in cartilage thickness, cartilage surface area, effusion-synovitis, Hoffa-synovitis, and meniscal morphology were independently associated with OA progression, suggesting that these factors may serve as efficacy biomarkers in clinical trials of disease-modifying interventions for knee OA.",
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AU - Losina, Elena

AU - Nevitt, Michael C.

AU - Roemer, Frank W.

AU - Guermazi, Ali

AU - Lynch, John A.

AU - Katz, Jeffrey N.

AU - Kwoh, Chian K

AU - Kraus, Virginia B.

AU - Hunter, David J.

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