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Selection of Knees With Subsequent Cartilage Thickness Loss Based on Magnetic Resonance Imaging Semiquantitative Grading: Data From the Osteoarthritis Initiative Foundation for the National Institutes of Health Biomarker Cohort

Wirth W, Maschek S, Wisser A, Guermazi A, Hunter DJJ, Kwoh CK, Nevitt MCC, Eckstein F, Roemer FWW (2023)

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Publication Type: Journal article

Publication year: 2023

Journal

DOI: 10.1002/acr.25078

Abstract

ObjectiveTo investigate which magnetic resonance imaging (MRI)-based articular pathologies are predictive of subsequent medial femorotibial compartment quantitative cartilage thickness loss and therefore suitable for enrichment of clinical trials with participants showing a high likelihood for structural progression. MethodsSemiquantitative MRI Osteoarthritis Knee Score (MOAKS) assessments at baseline and quantitative cartilage thickness measurements at baseline and year-2 follow-up were performed in 599 participants (age 62 years; body mass index 31 kg/m(2); 59% female) from the Osteoarthritis Initiative-based Foundation for the National Institutes of Health Osteoarthritis Biomarkers Consortium. Knees were classified as medial femorotibial compartment (MFTC) progressors or nonprogressors based on MFTC cartilage thickness change (smallest detectable change threshold -111 mu m). Logistic regression was used to investigate the association between baseline presence and severity of MFTC MOAKS pathologies with subsequent MFTC progression. The standardized response mean (SRM) was computed to estimate the sensitivity to change that can be achieved when selecting knees based on MOAKS pathologies. ResultsPresence of MFTC MOAKS cartilage damage (odds ratio [OR] 2.77 [95% confidence interval (95% CI) 1.76, 4.36]), MFTC bone marrow lesions (OR 2.69 [95% CI 1.89, 3.83]), medial meniscus extrusion or damage (OR 2.21 [95% CI 1.37, 3.55]), as well as MOAKS severity subscales for cartilage and meniscus damage were associated with subsequent progression. The SRM was greater in knees with than in knees without the presence of these pathologies and was associated with the severity of those pathologies. ConclusionMRI-based grading of articular pathologies makes it possible to specifically select progressor knees suitable for inclusion in clinical trials but also to identify knees in which treatment is not indicated (e.g., knees without cartilage damage despite presence of radiographic osteoarthritis).

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How to cite

APA:

Wirth, W., Maschek, S., Wisser, A., Guermazi, A., Hunter, D.J.J., Kwoh, C.K.,... Roemer, F.W.W. (2023). Selection of Knees With Subsequent Cartilage Thickness Loss Based on Magnetic Resonance Imaging Semiquantitative Grading: Data From the Osteoarthritis Initiative Foundation for the National Institutes of Health Biomarker Cohort. Arthritis & Rheumatism-Arthritis Care & Research. https://doi.org/10.1002/acr.25078

MLA:

Wirth, Wolfgang, et al. "Selection of Knees With Subsequent Cartilage Thickness Loss Based on Magnetic Resonance Imaging Semiquantitative Grading: Data From the Osteoarthritis Initiative Foundation for the National Institutes of Health Biomarker Cohort." Arthritis & Rheumatism-Arthritis Care & Research (2023).

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