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A novel semi-automated classifier of hip osteoarthritis on DXA images shows expected relationships with clinical outcomes in UK Biobank

dc.contributor.authorFaber, Benjamin G
dc.contributor.authorEbsim, Raja
dc.contributor.authorSaunders, Fiona
dc.contributor.authorFrysz, Monika
dc.contributor.authorLindner, Claudia
dc.contributor.authorGregory, Jenny S.
dc.contributor.authorAspden, Richard M
dc.contributor.authorHarvey, Nicholas C
dc.contributor.authorSmith, George Davey
dc.contributor.authorCootes, Timothy
dc.contributor.authorTobias, Jonathan H.
dc.date.accessioned2023-06-19T23:04:49Z
dc.date.available2023-06-19T23:04:49Z
dc.date.issued2022-09-01
dc.identifier209925898
dc.identifier3455cc8e-48ea-436e-9026-6da1c5b76c17
dc.identifier000756752200001
dc.identifier85136787039
dc.identifier.citationFaber , B G , Ebsim , R , Saunders , F , Frysz , M , Lindner , C , Gregory , J S , Aspden , R M , Harvey , N C , Smith , G D , Cootes , T & Tobias , J H 2022 , ' A novel semi-automated classifier of hip osteoarthritis on DXA images shows expected relationships with clinical outcomes in UK Biobank ' , Rheumatology , vol. 61 , no. 9 , pp. 3586–3595 . https://doi.org/10.1093/rheumatology/keab927en
dc.identifier.issn1462-0324
dc.identifier.otherORCID: /0000-0001-7130-6777/work/109549046
dc.identifier.urihttp://aura-test.abdn.ac.uk/handle/2164/19610
dc.descriptionAcknowledgements The authors would like to thank the MRU patient and public involvement group at the University of Bristol for their input into planning our research and Dr Martin Williams, Consultant Musculoskeletal Radiologist North Bristol NHS Trust, who provided substantial training and expertise for this study. This work has been conducted using the UK Biobank resource (application number 17295). Funding and grant award information: BGF is supported by a Medical Research Council (MRC) clinical research training fellowship (MR/S021280/1). RE, MF, FS are supported, and this work is funded by a Wellcome Trust collaborative award (reference number 209233). CL was funded by the MRC, UK (MR/S00405X/1) as well as a Sir Henry Dale Fellowship jointly funded by the Wellcome Trust and the Royal Society (223267/Z/21/Z). NCH acknowledges support from the MRC and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton. BGF, MF, GDS, JHT work in the MRC Integrative Epidemiology Unit at the University of Bristol, which is supported by the MRC (MC_UU_00011/1). This research was funded in whole, or in part, by the Wellcome Trust [Grant number 223267/Z/21/Z]. For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission.en
dc.format.extent10
dc.format.extent665107
dc.language.isoeng
dc.relation.ispartofRheumatologyen
dc.subjectOAen
dc.subjectdual-energy x ray absorptiometryen
dc.subjecttotal joint replacementen
dc.subjecthip painen
dc.subjectR Medicineen
dc.subjectMedical Research Council (MRC)en
dc.subjectMR/S021280/1en
dc.subjectMC_UU_00011/1en
dc.subjectWellcome Trusten
dc.subject209233en
dc.subject223267/Z/21/Zen
dc.subjectSupplementary Dataen
dc.subject.lccRen
dc.titleA novel semi-automated classifier of hip osteoarthritis on DXA images shows expected relationships with clinical outcomes in UK Biobanken
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Medical Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Institute of Medical Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Medical Educationen
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Centre for Arthritis and Musculoskeletal Health (ACAMH)en
dc.contributor.institutionUniversity of Aberdeen.Applied Medicineen
dc.description.statusPeer revieweden
dc.identifier.doihttps://doi.org/10.1093/rheumatology/keab927
dc.identifier.vol61en
dc.identifier.iss9en


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