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To classify antero-posterior knee radiographs into \u2018RA\u2019 and \u2018OA-like RA\u2019 groups, a deep learning model was developed by training the network using knee radiographs of end-stage arthropathy in RA patients obtained during 2002\u20132005 and in primary OA patients obtained during 2007\u20132009. We used this model to categorize 796 knee radiographs, which were recorded in RA patients before TKA during 2006\u20132020, into \u2018OA-like RA\u2019 and \u2018RA\u2019 groups. The annual ratio of \u2018OA-like RA\u2019 was investigated. Moreover, univariate and multivariate analyses were performed to identify the factors associated with the classification as OA-like RA using clinical data from 240 patients. The percentage of \u2018OA-like RA\u2019 had significant increasing trend from 20.9% in 2006 to 67.7% in 2020. Higher body mass index, use of biologics, and lower level of C-reactive protein were identified as independent factors for \u2018OA-like RA\u2019. An increasing trend of knee radiographs with OA-like features was observed in RA patients in the recent decades, which might be attributed to recent advances in pharmacotherapy.<\/jats:p>","DOI":"10.1038\/s41598-022-14440-2","type":"journal-article","created":{"date-parts":[[2022,6,21]],"date-time":"2022-06-21T15:02:40Z","timestamp":1655823760000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Increasing trend of radiographic features of knee osteoarthritis in rheumatoid arthritis patients before total knee arthroplasty"],"prefix":"10.1038","volume":"12","author":[{"given":"Ryutaro","family":"Takeda","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Takumi","family":"Matsumoto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuji","family":"Maenohara","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yasunori","family":"Omata","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hiroshi","family":"Inui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuichi","family":"Nagase","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Takuji","family":"Nishikawa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sakae","family":"Tanaka","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,6,21]]},"reference":[{"key":"14440_CR1","doi-asserted-by":"publisher","first-page":"685","DOI":"10.1136\/annrheumdis-2019-216655","volume":"79","author":"JS Smolen","year":"2020","unstructured":"Smolen, J. 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