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Machine-learning derived acetabular dysplasia and cam morphology are features of severe hip osteoarthritis : findings from UK Biobank

dc.contributor.authorFrysz, Monika
dc.contributor.authorFaber, Benjamin G
dc.contributor.authorEbsim, Raja
dc.contributor.authorSaunders, Fiona
dc.contributor.authorLindner, Claudia
dc.contributor.authorGregory, Jenny
dc.contributor.authorAspden, Richard Malcolm
dc.contributor.authorHarvey, Nicholas C
dc.contributor.authorCootes, Timothy
dc.contributor.authorTobias, Jonathan H.
dc.date.accessioned2022-09-29T23:08:02Z
dc.date.available2022-09-29T23:08:02Z
dc.date.issued2022-09-01
dc.identifier218147233
dc.identifier160acbd0-de79-47f9-8c5b-7fce8ae9cc53
dc.identifier35811326
dc.identifier35811326
dc.identifier000836877800001
dc.identifier85135915786
dc.identifier.citationFrysz , M , Faber , B G , Ebsim , R , Saunders , F , Lindner , C , Gregory , J , Aspden , R M , Harvey , N C , Cootes , T & Tobias , J H 2022 , ' Machine-learning derived acetabular dysplasia and cam morphology are features of severe hip osteoarthritis : findings from UK Biobank ' , Journal of Bone and Mineral Research , vol. 37 , no. 9 , pp. 1720-1732 . https://doi.org/10.1002/jbmr.4649en
dc.identifier.issn0884-0431
dc.identifier.otherORCID: /0000-0001-7130-6777/work/116418066
dc.identifier.urihttp://aura-test.abdn.ac.uk/handle/2164/19175
dc.descriptionAcknowledgements and disclosures The authors would like to thank Dr Martin Williams, Consultant Musculoskeletal Radiologist North Bristol NHS Trust, who provided substantial training and expertise in osteophyte assessment on DXA images. This research has been conducted using the UK Biobank Resource (application number 17295). Financial Support: RE, MF, FS are supported, and this work is funded by a Wellcome Trust collaborative award (reference number 209233). BGF is supported by a Medical Research Council (MRC) clinical research training fellowship (MR/S021280/1). 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. This research was funded in whole, or in part, by the Wellcome Trust [Grant number 223267/Z/21/Z]. NCH has received consultancy, lecture fees and honoraria from Alliance for Better Bone Health, AMGEN, MSD, Eli Lilly, Servier, UCB, Shire, Consilient Healthcare, Kyowa Kirin and Internis Pharma. 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.extent13
dc.format.extent2416936
dc.language.isoeng
dc.relation.ispartofJournal of Bone and Mineral Researchen
dc.subjectosteoarthritisen
dc.subjecthip shapeen
dc.subjectstatistical shape modellingen
dc.subjectcam morphologyen
dc.subjectacetabular dysplasiaen
dc.subjectR Medicineen
dc.subjectWellcome Trusten
dc.subject223267/Z/21/Zen
dc.subject209233en
dc.subjectMedical Research Council (MRC)en
dc.subjectMR/S021280/1en
dc.subjectMR/S00405X/1en
dc.subject.lccRen
dc.titleMachine-learning derived acetabular dysplasia and cam morphology are features of severe hip osteoarthritis : findings from UK Biobanken
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
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/10.1002/jbmr.4649
dc.identifier.vol37en
dc.identifier.iss9en


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