{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T23:32:57Z","timestamp":1772235177502,"version":"3.50.1"},"reference-count":56,"publisher":"Georg Thieme Verlag KG","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Semin Musculoskelet Radiol"],"published-print":{"date-parts":[[2021,6]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Osteoarthritis (OA) is among the top 10 burdensome diseases, with the knee the most affected joint. Magnetic resonance imaging (MRI) allows whole-knee assessment, making it ideally suited for imaging OA, considered a multitissue disease. Three-dimensional (3D) MRI enables the comprehensive assessment of OA, including quantitative morphometry of various joint tissues. Manual tissue segmentation on 3D MRI is challenging but may be overcome by advanced automated image analysis methods including artificial intelligence (AI). This review presents examples of the utility of 3D MRI for knee OA, focusing on the articular cartilage, bone, meniscus, synovium, and infrapatellar fat pad, and it highlights several applications of AI that facilitate segmentation, lesion detection, and disease classification.<\/jats:p>","DOI":"10.1055\/s-0041-1730911","type":"journal-article","created":{"date-parts":[[2021,9,21]],"date-time":"2021-09-21T22:37:00Z","timestamp":1632263820000},"page":"468-479","source":"Crossref","is-referenced-by-count":9,"title":["3D MRI in Osteoarthritis"],"prefix":"10.1055","volume":"25","author":[{"given":"Edwin H.G.","family":"Oei","sequence":"additional","affiliation":[{"name":"Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tijmen A.","family":"van Zadelhoff","sequence":"additional","affiliation":[{"name":"Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Susanne M.","family":"Eijgenraam","sequence":"additional","affiliation":[{"name":"Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan","family":"Klein","sequence":"additional","affiliation":[{"name":"Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jukka","family":"Hirvasniemi","sequence":"additional","affiliation":[{"name":"Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rianne A.","family":"van der Heijden","sequence":"additional","affiliation":[{"name":"Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"194","published-online":{"date-parts":[[2021,9,21]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"1745","DOI":"10.1016\/S0140-6736(19)30417-9","article-title":"Osteoarthritis","volume":"393","author":"D J Hunter","year":"2019","journal-title":"Lancet"},{"issue":"S 04","key":"ref2","doi-asserted-by":"crossref","first-page":"iv34","DOI":"10.1093\/rheumatology\/kex417","article-title":"Is osteoarthritis one disease or a collection of many?","volume":"57","author":"L A Deveza","year":"2018","journal-title":"Rheumatology (Oxford)"},{"issue":"01","key":"ref3","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.joca.2012.11.012","article-title":"Osteoarthritis as an inflammatory disease (osteoarthritis is not 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