{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T16:10:32Z","timestamp":1787242232975,"version":"build-2736575974"},"reference-count":35,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2017,9,27]],"date-time":"2017-09-27T00:00:00Z","timestamp":1506470400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100008158","name":"Arthritis Foundation of Australia","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008158","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Arthritis Care &amp; Research"],"published-print":{"date-parts":[[2017,10]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Hip morphology plays a significant role in the incidence and progression of hip osteoarthritis (OA). We hypothesized that hip shape would also be associated with other key factors and tested this in a longitudinal community\u2010based cohort combining radiographic, magnetic resonance imaging (MRI), dual\u2010energy x\u2010ray absorptiometry (DXA), and clinical data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Baseline DXA images of the left hip of 831 subjects from the Tasmanian Older Adult Cohort were analyzed using an 85\u2010point statistical shape model. Hip pain was assessed using the Western Ontario and McMaster Universities Osteoarthritis Index, and muscle strength was measured using a dynamometer. Hip structural changes were assessed using MRI and radiographic OA using plain radiographs.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Six shape modes accounted for 68% of shape variation. At baseline, modes 1, 2, 4, and 6 were associated with radiographic hip OA; modes 1, 3, 4, and 6 were correlated with hip cartilage volume; and all except mode 2 were correlated with muscle strength. Higher mode 1 and lower mode 3 and mode 6 scores at baseline predicted hip pain at followup and higher mode 1 and mode 2 scores were associated with hip effusion\u2010synovitis. Higher scores for mode 2 (decreasing acetabular coverage) and lower scores for mode 4 (nonspherical femoral head) at baseline predicted 10\u2010year total hip replacement (THR), while mode 4 alone was correlated with bone marrow lesions (BMLs), effusion\u2010synovitis, and increased cartilage signal.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Hip shape is associated with radiographic OA, THR, hip pain, effusion\u2010synovitis, BMLs, muscle strength, and hip structural changes. These data suggest that different shape modes reflect multiple facets of hip OA.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/acr.23166","type":"journal-article","created":{"date-parts":[[2016,12,19]],"date-time":"2016-12-19T16:22:56Z","timestamp":1482164576000},"page":"1566-1573","source":"Crossref","is-referenced-by-count":34,"title":["Hip Shape as a Predictor of Osteoarthritis Progression in a Prospective Population Cohort"],"prefix":"10.1002","volume":"69","author":[{"given":"Harbeer G.","family":"Ahedi","sequence":"first","affiliation":[{"name":"Menzies Institute for Medical Research, University of Tasmania Hobart Tasmania Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard M.","family":"Aspden","sequence":"additional","affiliation":[{"name":"Aberdeen Centre for Arthritis and Musculoskeletal Health, Institute of Medical Sciences, University of Aberdeen Aberdeen UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leigh 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