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Knees were classified as medial femorotibial compartment (MFTC) progressors or nonprogressors based on MFTC cartilage thickness change (smallest detectable change threshold \u2212111\u2009\u03bcm). 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.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Presence 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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>MRI\u2010based 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).<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/acr.25078","type":"journal-article","created":{"date-parts":[[2022,12,28]],"date-time":"2022-12-28T05:24:45Z","timestamp":1672205085000},"page":"1773-1782","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["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"],"prefix":"10.1002","volume":"75","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2297-8283","authenticated-orcid":false,"given":"Wolfgang","family":"Wirth","sequence":"first","affiliation":[{"name":"Paracelsus Medical University, Salzburg and Nuremberg, Austria, and Chondrometrics  Freilassing Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Susanne","family":"Maschek","sequence":"additional","affiliation":[{"name":"Paracelsus Medical University, Salzburg and Nuremberg, Austria, and Chondrometrics  Freilassing Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anna","family":"Wisser","sequence":"additional","affiliation":[{"name":"Paracelsus Medical University, Salzburg and Nuremberg, Austria, and Chondrometrics  Freilassing Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ali","family":"Guermazi","sequence":"additional","affiliation":[{"name":"Boston University School of Medicine, Boston, Massachusetts, and VA Boston Healthcare System  West Roxbury Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3197-752X","authenticated-orcid":false,"given":"David J.","family":"Hunter","sequence":"additional","affiliation":[{"name":"Royal North Shore Hospital and University of Sydney  St. Leonards New South Wales Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"C. 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