{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T12:07:04Z","timestamp":1790251624129,"version":"4.1.0"},"reference-count":34,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T00:00:00Z","timestamp":1789430400000},"content-version":"vor","delay-in-days":14,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100006315","name":"Dutch Arthritis Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100006315","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000288","name":"The Royal Society","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000288","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003246","name":"Dutch Research Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003246","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010269","name":"Wellcome Trust","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100010269","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Osteoarthritis Imaging"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.ostima.2026.100472","type":"journal-article","created":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T15:16:13Z","timestamp":1789571773000},"page":"100472","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["Integrating deep learning-based radiographic features with demographic variables for hip osteoarthritis prediction: development and validation using individual participant data from the World COACH Consortium"],"prefix":"10.1016","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-7129-9702","authenticated-orcid":false,"given":"Myrthe A.","family":"van den Berg","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gijs","family":"van Tulder","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Harbeer","family":"Ahedi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nigel K.","family":"Arden","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sita M.A.","family":"Bierma-Zeinstra","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fleur","family":"Boel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cindy G.","family":"Boer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michiel M.A.","family":"van Buuren","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Flavia M.","family":"Cicuttini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Timothy F.","family":"Cootes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David T.","family":"Felson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Willem Paul","family":"Gielis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joshua","family":"Heerey","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joanne","family":"Kemp","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Graeme","family":"Jones","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefan","family":"Kluzek","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nancy E.","family":"Lane","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Claudia","family":"Lindner","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joyce B.J.","family":"van Meurs","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrea B.","family":"Mosler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amanda E.","family":"Nelson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael C.","family":"Nevitt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Edwin H.","family":"Oei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jos","family":"Runhaar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Harrie","family":"Weinans","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jesse H.","family":"Krijthe","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rintje","family":"Agricola","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ostima.2026.100472_bib0001","doi-asserted-by":"crossref","first-page":"1638","DOI":"10.1016\/j.joca.2021.06.015","article-title":"A lifespan approach to osteoarthritis prevention","volume":"29","author":"Whittaker","year":"2021","journal-title":"Osteoarthr. Cartil."},{"key":"10.1016\/j.ostima.2026.100472_bib0002","doi-asserted-by":"crossref","first-page":"5158","DOI":"10.1093\/rheumatology\/keab111","article-title":"Diagnostic criteria for early hip osteoarthritis: first steps, based on the CHECK study","volume":"60","author":"Runhaar","year":"2021","journal-title":"Rheumatology"},{"key":"10.1016\/j.ostima.2026.100472_bib0003","doi-asserted-by":"crossref","first-page":"e508","DOI":"10.1016\/S2665-9913(23)00163-7","article-title":"Global, regional, and national burden of osteoarthritis, 1990-2020 and projections to 2050: a systematic analysis for the global burden of disease study 2021","volume":"5","year":"2023","journal-title":"Lancet Rheumatol."},{"key":"10.1016\/j.ostima.2026.100472_bib0004","doi-asserted-by":"crossref","first-page":"27","DOI":"10.3390\/biologics5030027","article-title":"Advancing early detection of osteoarthritis through biomarker profiling and predictive modelling: a review","volume":"5","author":"Coleman","year":"2025","journal-title":"Biologics"},{"key":"10.1016\/j.ostima.2026.100472_bib0005","doi-asserted-by":"crossref","DOI":"10.1093\/jhps\/hnz073","article-title":"Radiographic factors associated with hip osteoarthritis: a systematic review","volume":"7","author":"Shapira","year":"2020","journal-title":"J. Hip Preserv. Surg."},{"key":"10.1016\/j.ostima.2026.100472_bib0006","doi-asserted-by":"crossref","first-page":"2225","DOI":"10.1007\/s00256-023-04296-6","article-title":"Deep learning applications in osteoarthritis imaging","volume":"52","author":"Kijowski","year":"2023","journal-title":"Skelet. Radiol."},{"key":"10.1016\/j.ostima.2026.100472_bib0007","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1007\/s00256-021-03773-0","article-title":"Deep learning approach to predict pain progression in knee osteoarthritis","volume":"51","author":"Guan","year":"2022","journal-title":"Skelet. Radiol."},{"key":"10.1016\/j.ostima.2026.100472_bib0008","doi-asserted-by":"crossref","first-page":"001","DOI":"10.1055\/a-2305-2115","article-title":"Deep learning for predicting progression of patellofemoral osteoarthritis based on lateral knee radiographs, demographic data, and symptomatic assessments","volume":"63","author":"Bayramoglu","year":"2024","journal-title":"Methods Inf. Med."},{"key":"10.1016\/j.ostima.2026.100472_bib0009","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-019-56527-3","article-title":"Multimodal machine learning-based knee osteoarthritis progression prediction from plain radiographs and clinical data","volume":"9","author":"Tiulpin","year":"2019","journal-title":"Sci. Rep."},{"key":"10.1016\/j.ostima.2026.100472_bib0010","doi-asserted-by":"crossref","first-page":"1530","DOI":"10.1016\/j.joca.2013.06.012","article-title":"The contribution of hip geometry to the prediction of hip osteoarthritis","volume":"21","author":"Castano-Betancourt","year":"2013","journal-title":"Osteoarthr. Cartil."},{"key":"10.1016\/j.ostima.2026.100472_bib0011","doi-asserted-by":"crossref","first-page":"540","DOI":"10.1016\/j.joca.2018.01.015","article-title":"Development of a prediction model for future risk of radiographic hip osteoarthritis","volume":"26","author":"Saberi Hosnijeh","year":"2018","journal-title":"Osteoarthr. Cartil."},{"key":"10.1016\/j.ostima.2026.100472_bib0012","doi-asserted-by":"crossref","first-page":"906","DOI":"10.1016\/j.joca.2019.02.796","article-title":"Bone texture analysis for prediction of incident radiographic hip osteoarthritis using machine learning: data from the cohort hip and cohort knee (CHECK) study","volume":"27","author":"Hirvasniemi","year":"2019","journal-title":"Osteoarthr. Cartil."},{"key":"10.1016\/j.ostima.2026.100472_bib0013","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.joca.2019.09.005","article-title":"An automated workflow based on hip shape improves personalized risk prediction for hip osteoarthritis in the CHECK study","volume":"28","author":"Gielis","year":"2020","journal-title":"Osteoarthr. Cartil."},{"key":"10.1016\/j.ostima.2026.100472_bib0014","doi-asserted-by":"crossref","first-page":"893","DOI":"10.1186\/s12891-024-08034-4","article-title":"Development and accuracy of an artificial intelligence model for predicting the progression of hip osteoarthritis using plain radiographs and clinical data: a retrospective study","volume":"25","author":"Hidaka","year":"2024","journal-title":"BMC Musculoskelet. Disord."},{"key":"10.1016\/j.ostima.2026.100472_bib0015","doi-asserted-by":"crossref","DOI":"10.1136\/bmjopen-2023-077907","article-title":"Cohort profile: worldwide collaboration on osteoarthritis prediction for the hip (World COACH) - an international consortium of prospective cohort studies with individual participant data on hip osteoarthritis","volume":"14","author":"van Buuren","year":"2024","journal-title":"BMJ Open"},{"key":"10.1016\/j.ostima.2026.100472_bib0016","doi-asserted-by":"crossref","first-page":"514","DOI":"10.1093\/oxfordjournals.aje.a115687","article-title":"Defining osteoarthritis of the hip for epidemiologic studies","volume":"132","author":"Croft","year":"1990","journal-title":"Am. J. Epidemiol."},{"key":"10.1016\/j.ostima.2026.100472_bib0017","series-title":"TorchVision: PyTorch's Computer Vision library","article-title":"Contributors","author":"Maintainers","year":"2016"},{"key":"10.1016\/j.ostima.2026.100472_bib0018","series-title":"2009 IEEE Conference on Computer Vision and Pattern Recognition","first-page":"248","article-title":"ImageNet: a large-scale hierarchical image database","author":"Deng","year":"2009"},{"key":"10.1016\/j.ostima.2026.100472_bib0019","doi-asserted-by":"crossref","DOI":"10.1007\/s12178-011-9088-5","article-title":"Risk factors for incident osteoarthritis of the hip and knee","volume":"4","author":"Chaganti","year":"2011","journal-title":"Curr. Rev. Musculoskelet. Med."},{"key":"10.1016\/j.ostima.2026.100472_bib0020","first-page":"2825","article-title":"Scikit-learn: machine learning in Python","volume":"12","author":"Pedregosa","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"10.1016\/j.ostima.2026.100472_bib0021","doi-asserted-by":"crossref","first-page":"25","DOI":"10.4097\/kja.21209","article-title":"Receiver operating characteristic curve: overview and practical use for clinicians","volume":"75","author":"Nahm","year":"2022","journal-title":"Korean J. Anesth."},{"key":"10.1016\/j.ostima.2026.100472_bib0022","article-title":"Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance","volume":"7","author":"Van Calster","year":"2025","journal-title":"Lancet Digit. Health"},{"key":"10.1016\/j.ostima.2026.100472_bib0023","doi-asserted-by":"crossref","first-page":"1401","DOI":"10.1007\/s10618-022-00840-5","article-title":"Grouped feature importance and combined features effect plot","volume":"36","author":"Au","year":"2022","journal-title":"Data Min. Knowl. Discov."},{"key":"10.1016\/j.ostima.2026.100472_bib0024","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/978-3-540-24775-3_3","article-title":"Evaluating the replicability of significance tests for comparing learning algorithms","volume":"3056","author":"Bouckaert","year":"2004","journal-title":"Lect. Notes Comput. Sci."},{"key":"10.1016\/j.ostima.2026.100472_bib0025","doi-asserted-by":"crossref","first-page":"703","DOI":"10.1038\/nmeth.3968","article-title":"Model selection and overfitting","volume":"13","author":"Lever","year":"2016","journal-title":"Nat. Methods"},{"key":"10.1016\/j.ostima.2026.100472_bib0026","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.1001886","article-title":"Individual participant data (IPD) meta-analyses of diagnostic and prognostic modeling studies: guidance on their use","volume":"12","author":"Debray","year":"2015","journal-title":"PLoS Med."},{"key":"10.1016\/j.ostima.2026.100472_bib0027","doi-asserted-by":"crossref","DOI":"10.1002\/sim.8296","article-title":"Assessment of heterogeneity in an individual participant data meta-analysis of prediction models: an overview and illustration","volume":"38","author":"Steyerberg","year":"2019","journal-title":"Stat. Med."},{"key":"10.1016\/j.ostima.2026.100472_bib0028","doi-asserted-by":"crossref","DOI":"10.1002\/sim.8981","article-title":"Developing more generalizable prediction models from pooled studies and large clustered data sets","volume":"40","author":"de Jong","year":"2021","journal-title":"Stat. Med."},{"key":"10.1016\/j.ostima.2026.100472_bib0029","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s41512-025-00216-5","article-title":"Prediction models developed using artificial intelligence: similar predictive performances with highly varying predictions for individuals - an illustration in deep vein thrombosis","volume":"10","author":"Yusufujiang","year":"2026","journal-title":"Diagn. Progn. Res."},{"key":"10.1016\/j.ostima.2026.100472_bib0030","doi-asserted-by":"crossref","DOI":"10.1161\/CIRCIMAGING.123.015495","article-title":"Machine learning and bias in medical imaging: opportunities and challenges","volume":"17","author":"Vrudhula","year":"2024","journal-title":"Circ. Cardiovasc. Imaging"},{"key":"10.1016\/j.ostima.2026.100472_bib0031","doi-asserted-by":"crossref","DOI":"10.1016\/j.ocarto.2022.100251","article-title":"Point prevalence of hip symptoms, radiographic, and symptomatic OA at five time points: the Johnston county osteoarthritis project, 1991-2018","volume":"4","author":"Nelson","year":"2022","journal-title":"Osteoarthr. Cartil. Open"},{"key":"10.1016\/j.ostima.2026.100472_bib0032","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1002\/art.1780340502","article-title":"The American college of rheumatology criteria for the classification and reporting of osteoarthritis of the hip","volume":"34","author":"Altman","year":"1991","journal-title":"Arthritis Rheum."},{"key":"10.1016\/j.ostima.2026.100472_bib0033","article-title":"Association of hip pain with radiographic evidence of hip osteoarthritis: diagnostic test study","volume":"351","author":"Kim","year":"2015","journal-title":"BMJ"},{"key":"10.1016\/j.ostima.2026.100472_bib0034","article-title":"Association between hip pain and radiographic hip osteoarthritis in primary care: the CHECK cohort","volume":"72","author":"Rondas","year":"2022","journal-title":"Br. J. Gen. Pr."}],"container-title":["Osteoarthritis Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2772654126000826?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2772654126000826?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T11:29:35Z","timestamp":1790249375000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2772654126000826"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":34,"alternative-id":["S2772654126000826"],"URL":"https:\/\/doi.org\/10.1016\/j.ostima.2026.100472","relation":{},"ISSN":["2772-6541"],"issn-type":[{"value":"2772-6541","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Integrating deep learning-based radiographic features with demographic variables for hip osteoarthritis prediction: development and validation using individual participant data from the World COACH Consortium","name":"articletitle","label":"Article Title"},{"value":"Osteoarthritis Imaging","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ostima.2026.100472","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier Ltd on behalf of International Society of Osteoarthritis Imaging.","name":"copyright","label":"Copyright"}],"article-number":"100472"}}