{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T17:21:55Z","timestamp":1775582515998,"version":"3.50.1"},"reference-count":37,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2020,3,24]],"date-time":"2020-03-24T00:00:00Z","timestamp":1585008000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100006775","name":"GE Healthcare","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006775","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000069","name":"National Institute of Arthritis and Musculoskeletal and Skin Diseases","doi-asserted-by":"publisher","award":["P50AR060752"],"award-info":[{"award-number":["P50AR060752"]}],"id":[{"id":"10.13039\/100000069","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2020,11]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Bone\u2013cartilage interactions have been implicated in causing osteoarthritis (OA).<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To use [<jats:sup>18<\/jats:sup>F]\u2010NaF PET\u2010MRI to 1) develop automatic image processing code in MatLab to create a model of bone\u2013cartilage interactions and 2) find associations of bone\u2013cartilage interactions with known manifestations of OA.<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Type<\/jats:title><jats:p>Prospective study aimed to evaluate a data analysis method.<\/jats:p><\/jats:sec><jats:sec><jats:title>Population<\/jats:title><jats:p>Twenty\u2010nine patients with knee pain or joint stiffness.<\/jats:p><\/jats:sec><jats:sec><jats:title>Field Strength\/Sequence<\/jats:title><jats:p>3T MRI (GE), 3D CUBE FSE, 3D combined T<jats:sub>1<\/jats:sub>\u03c1\/T<jats:sub>2<\/jats:sub> MAPSS, [18F]\u2010sodium fluoride, SIGNA TOF (OSEM).<\/jats:p><\/jats:sec><jats:sec><jats:title>Assessment<\/jats:title><jats:p>Correlation between MRI (cartilage) and PET (bone) quantitative parameters, bone\u2013cartilage interactions model described by modes of variation as derived by principal component analysis (PCA), WORMS scoring on cartilage lesions, bone marrow abnormalities, subchondral cysts.<\/jats:p><\/jats:sec><jats:sec><jats:title>Statistical Tests<\/jats:title><jats:p>Linear regression, Pearson correlation.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Mode 1 was a positive predictor of the bone abnormality score (<jats:italic>P<\/jats:italic> = 0.0003, <jats:italic>P<\/jats:italic> = 0.001, <jats:italic>P<\/jats:italic> = 0.0007) and the cartilage lesion score (<jats:italic>P<\/jats:italic> = 0.03, <jats:italic>P<\/jats:italic> = 0.01, <jats:italic>P<\/jats:italic> = 0.02) in the femur, tibia, and patella, respectively. For the cartilage lesion scores, mode 5 was the most important positive predictor in the femur (<jats:italic>P<\/jats:italic> = 3.9E\u201006), and mode 2 were predictors, significant negative predictor in the tibia (<jats:italic>P<\/jats:italic> = 0.007). In the patella, mode 1 was a significant positive predictor of the bone abnormality score (<jats:italic>P<\/jats:italic> = 0.0007).<\/jats:p><\/jats:sec><jats:sec><jats:title>Data Conclusion<\/jats:title><jats:p>By successfully building an automatic code to create a bone\u2013cartilage interface, we were able to observe dynamic relationships between biochemical changes in the cartilage accompanied with bone remodeling, extended to the whole knee joint instead of simple colocalized observations, shedding light on the interactions that occur between bone and cartilage in OA.<\/jats:p><jats:p><jats:bold>Evidence Level:<\/jats:bold> 3<\/jats:p><jats:p><jats:bold>Technical Efficacy:<\/jats:bold> Stage 3<\/jats:p><jats:p>J. Magn. Reson. Imaging 2020;52:1462\u20131474.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.27146","type":"journal-article","created":{"date-parts":[[2020,3,24]],"date-time":"2020-03-24T14:07:19Z","timestamp":1585058839000},"page":"1462-1474","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Principal Component Analysis of Simultaneous PET\u2010MRI Reveals Patterns of Bone\u2013Cartilage Interactions in Osteoarthritis"],"prefix":"10.1002","volume":"52","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3837-1144","authenticated-orcid":false,"given":"Radhika","family":"Tibrewala","sequence":"first","affiliation":[{"name":"Department of Radiology and Biomedical Imaging University of California  San Francisco California USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Valentina","family":"Pedoia","sequence":"additional","affiliation":[{"name":"Department of Radiology and Biomedical Imaging University of California  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