{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T19:43:55Z","timestamp":1792093435337,"version":"4.4.0"},"reference-count":35,"publisher":"Oxford University Press (OUP)","issue":"9","license":[{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"},{"start":{"date-parts":[[2021,6,7]],"date-time":"2021-06-07T00:00:00Z","timestamp":1623024000000},"content-version":"vor","delay-in-days":188,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100003669","name":"Korea Centers for Disease Control & Prevention","doi-asserted-by":"publisher","award":["2013-E63007-01"],"award-info":[{"award-number":["2013-E63007-01"]}],"id":[{"id":"10.13039\/501100003669","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003669","name":"Korea Centers for Disease Control & Prevention","doi-asserted-by":"publisher","award":["2013-E63007-02"],"award-info":[{"award-number":["2013-E63007-02"]}],"id":[{"id":"10.13039\/501100003669","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003669","name":"Korea Centers for Disease Control & Prevention","doi-asserted-by":"publisher","award":["2019-ER6302-01"],"award-info":[{"award-number":["2019-ER6302-01"]}],"id":[{"id":"10.13039\/501100003669","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003669","name":"Korea Centers for Disease Control and Prevention","doi-asserted-by":"publisher","award":["2013\u2010E63007\u201001"],"award-info":[{"award-number":["2013\u2010E63007\u201001"]}],"id":[{"id":"10.13039\/501100003669","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003669","name":"Korea Centers for Disease Control and Prevention","doi-asserted-by":"publisher","award":["2013\u2010E63007\u201002"],"award-info":[{"award-number":["2013\u2010E63007\u201002"]}],"id":[{"id":"10.13039\/501100003669","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003669","name":"Korea Centers for Disease Control and Prevention","doi-asserted-by":"publisher","award":["2019\u2010ER6302\u201001"],"award-info":[{"award-number":["2019\u2010ER6302\u201001"]}],"id":[{"id":"10.13039\/501100003669","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["asbmr.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,12,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n               <jats:p>Dual-energy X-ray absorptiometry (DXA)-based bone mineral density testing is standard to diagnose osteoporosis to detect individuals at high risk of fracture. A radiomics approach to extract quantifiable texture features from DXA hip images may improve hip fracture prediction without additional costs. Here, we investigated whether bone radiomics scores from DXA hip images could improve hip fracture prediction in a community-based cohort of older women. The derivation set (143 women who sustained hip fracture [mean age 73\u2009years, time to fracture median 2.1\u2009years] versus 290 age-matched women [mean age 73\u2009years] who did not sustain hip fracture during follow-up [median 5.5\u2009years]) were split into the train set (75%) and the test set (25% hold-out set). Among various models using 14 selected features out of 300 texture features mined from DXA hip images in the train set, random forest model was selected as the best model to build a bone radiomics score (range 0 to 100) based on the performance in the test set. In a community-based cohort (2029 women, mean age 71\u2009years) as the clinical validation set, the bone radiomics score was calculated using a model fitted in the train set. A total of 34 participants (1.7%) sustained hip fracture during median follow-up of 5.4\u2009years (mean bone radiomics score 40\u2009\u00b1\u200916 versus 28\u2009\u00b1\u200912 in non-fractured, p\u2009&amp;lt;\u20090.001). A one-point bone radiomics score increment was associated with a 4% elevated risk of incident hip fracture (adjusted hazard ratio [aHR] =\u20091.04, p\u00a0=\u00a00.001) after adjustment for age, body mass index (BMI), previous history of fracture, and femoral neck T-score, with improved model fit when added to covariates (likelihood ratio chi-square 10.74, p\u00a0=\u00a00.001). The association between bone radiomics score with incident hip fracture remained robust (aHR\u00a0=\u00a01.06, p\u2009&amp;lt;\u20090.001) after adjustment for FRAX hip fracture probability. Bone radiomics scores estimated from texture features of DXA hip images have the potential to improve hip fracture prediction. \u00a9 2021 American Society for Bone and Mineral Research (ASBMR).<\/jats:p>","DOI":"10.1002\/jbmr.4342","type":"journal-article","created":{"date-parts":[[2021,5,24]],"date-time":"2021-05-24T17:24:53Z","timestamp":1621877093000},"page":"1708-1716","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":40,"title":["Bone Radiomics Score Derived From DXA Hip Images Enhances Hip Fracture Prediction in Older Women"],"prefix":"10.1093","volume":"36","author":[{"given":"Namki","family":"Hong","sequence":"first","affiliation":[{"name":"Yonsei University Graduate School of Medicine Seoul South Korea"},{"name":"Division of Endocrinology, Endocrine Research Institute, Department of Internal Medicine Yonsei University College of Medicine Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Heajeong","family":"Park","sequence":"additional","affiliation":[{"name":"Division of Endocrinology, Endocrine Research Institute, Department of Internal Medicine Yonsei University College of Medicine Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chang Oh","family":"Kim","sequence":"additional","affiliation":[{"name":"Division of Geriatrics, Department of Internal Medicine, Severance Hospital Yonsei University College of Medicine Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hyeon Chang","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Preventive Medicine Yonsei University College of Medicine Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin-Young","family":"Choi","sequence":"additional","affiliation":[{"name":"Department of Radiology Yonsei University College of Medicine Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hwiyoung","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Biomedical Systems Informatics Yonsei University College of Medicine Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4227-5638","authenticated-orcid":false,"given":"Yumie","family":"Rhee","sequence":"additional","affiliation":[{"name":"Division of Endocrinology, Endocrine Research Institute, Department of Internal Medicine Yonsei University College of Medicine Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2021,5,24]]},"reference":[{"issue":"9","key":"2024012713453429700_jbmr4342-bib-0001","doi-asserted-by":"crossref","first-page":"2239","DOI":"10.1007\/s00198-012-1964-3","article-title":"A systematic review of hip fracture incidence and probability of fracture worldwide","volume":"23","author":"Kanis","year":"2012","journal-title":"Osteoporos Int."},{"key":"2024012713453429700_jbmr4342-bib-0002","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.bone.2017.01.024","article-title":"The impact of fragility fracture and approaches to osteoporosis risk assessment worldwide","volume":"104","author":"Curtis","year":"2017","journal-title":"Bone."},{"issue":"9995","key":"2024012713453429700_jbmr4342-bib-0003","doi-asserted-by":"crossref","first-page":"743","DOI":"10.1016\/S0140-6736(15)60692-4","article-title":"Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990\u20132013: a systematic analysis for the Global Burden of Disease Study 2013","volume":"386","author":"Global Burden of Disease Study 2013 Collaborators","year":"2015","journal-title":"Lancet."},{"issue":"6","key":"2024012713453429700_jbmr4342-bib-0004","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1007\/BF01622200","article-title":"Assessment of fracture risk and its application to screening for postmenopausal osteoporosis: synopsis of a WHO report","volume":"4","author":"Kanis","year":"1994","journal-title":"Osteoporos Int."},{"issue":"1","key":"2024012713453429700_jbmr4342-bib-0005","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1016\/j.bone.2003.10.001","article-title":"Fracture incidence and association with bone mineral density in elderly men and women: the Rotterdam study","volume":"34","author":"Schuit","year":"2004","journal-title":"Bone."},{"issue":"21","key":"2024012713453429700_jbmr4342-bib-0006","doi-asserted-by":"crossref","first-page":"e104","DOI":"10.1158\/0008-5472.CAN-17-0339","article-title":"Computational radiomics system to decode the radiographic phenotype","volume":"77","author":"van Griethuysen","year":"2017","journal-title":"Cancer Res."},{"issue":"4","key":"2024012713453429700_jbmr4342-bib-0007","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1016\/j.ejca.2011.11.036","article-title":"Radiomics: extracting more information from medical images using advanced feature analysis","volume":"48","author":"Lambin","year":"2012","journal-title":"Eur J Cancer."},{"issue":"9","key":"2024012713453429700_jbmr4342-bib-0008","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1016\/j.diii.2020.01.008","article-title":"Radiomics for classification of bone mineral loss: a machine learning study","volume":"101","author":"Rastegar","year":"2020","journal-title":"Diagn Interv Imaging."},{"issue":"1","key":"2024012713453429700_jbmr4342-bib-0009","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1002\/jbmr.5650110107","article-title":"Heterogeneity of the skeleton: comparison of the trabecular microarchitecture of the spine, the iliac crest, the femur, and the calcaneus","volume":"11","author":"Amling","year":"1996","journal-title":"J Bone Miner Res."},{"issue":"3","key":"2024012713453429700_jbmr4342-bib-0010","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1002\/jbmr.1802","article-title":"Proximal femoral density distribution and structure in relation to age and hip fracture risk in women","volume":"28","author":"Carballido-Gamio","year":"2013","journal-title":"J Bone Miner Res."},{"issue":"8","key":"2024012713453429700_jbmr4342-bib-0011","doi-asserted-by":"crossref","first-page":"1672","DOI":"10.1002\/jbmr.3150","article-title":"Spatial differences in the distribution of bone between femoral neck and trochanteric fractures","volume":"32","author":"Yu","year":"2017","journal-title":"J Bone Miner Res."},{"issue":"11","key":"2024012713453429700_jbmr4342-bib-0012","doi-asserted-by":"crossref","first-page":"1534","DOI":"10.3390\/biom10111534","article-title":"Deep learning for osteoporosis classification using hip radiographs and patient clinical covariates","volume":"10","author":"Yamamoto","year":"2020","journal-title":"Biomolecules."},{"issue":"5","key":"2024012713453429700_jbmr4342-bib-0013","doi-asserted-by":"crossref","first-page":"1359","DOI":"10.1109\/TMI.2019.2945219","article-title":"A spatio-temporal ageing atlas of the proximal femur","volume":"39","author":"Farzi","year":"2020","journal-title":"IEEE Trans Med Imaging."},{"issue":"9","key":"2024012713453429700_jbmr4342-bib-0014","doi-asserted-by":"crossref","first-page":"1323","DOI":"10.1016\/j.mri.2012.05.001","article-title":"3D slicer as an image computing platform for the quantitative imaging network","volume":"30","author":"Fedorov","year":"2012","journal-title":"Magn Reson Imaging."},{"key":"2024012713453429700_jbmr4342-bib-0015","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1007\/978-3-030-25213-7_3","volume-title":"Computer and information science","author":"Aye Aye","year":"2020"},{"key":"2024012713453429700_jbmr4342-bib-0016","author":"Ikhsan"},{"key":"2024012713453429700_jbmr4342-bib-0017","first-page":"2825","article-title":"Scikit-learn: machine learning in python","volume":"12","author":"Pedregosa","year":"2012","journal-title":"J Mach Learn Res"},{"issue":"1","key":"2024012713453429700_jbmr4342-bib-0018","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1175\/1520-0493(1950)078<0001:VOFEIT>2.0.CO;2","article-title":"Verification of forecasts expressed in terms of probability","volume":"78","author":"Brier","year":"1950","journal-title":"Mon Weather Rev."},{"issue":"1","key":"2024012713453429700_jbmr4342-bib-0019","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1175\/1520-0450(1971)010<0155:ANOTRP>2.0.CO;2","article-title":"A note on the ranked probability score","volume":"10","author":"Murphy","year":"1971","journal-title":"J Appl Meteorol."},{"issue":"4","key":"2024012713453429700_jbmr4342-bib-0020","doi-asserted-by":"crossref","first-page":"417","DOI":"10.2307\/3001616","article-title":"Some methods for strengthening the common \u03c72 tests","volume":"10","author":"Cochran","year":"1954","journal-title":"Biometrics."},{"issue":"2","key":"2024012713453429700_jbmr4342-bib-0021","doi-asserted-by":"crossref","first-page":"499","DOI":"10.2307\/2531021","article-title":"Sample-size formula for the proportional-hazards regression model","volume":"39","author":"Schoenfeld","year":"1983","journal-title":"Biometrics."},{"issue":"7624","key":"2024012713453429700_jbmr4342-bib-0022","doi-asserted-by":"crossref","first-page":"806","DOI":"10.1136\/bmj.39335.541782.AD","article-title":"Strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies","volume":"335","author":"von Elm","year":"2007","journal-title":"BMJ."},{"issue":"1","key":"2024012713453429700_jbmr4342-bib-0023","doi-asserted-by":"crossref","first-page":"410","DOI":"10.1196\/annals.1346.038","article-title":"Advanced imaging assessment of bone quality","volume":"1068","author":"Genant","year":"2006","journal-title":"Ann N Y Acad Sci."},{"issue":"3","key":"2024012713453429700_jbmr4342-bib-0024","doi-asserted-by":"crossref","first-page":"518","DOI":"10.1002\/jbmr.2176","article-title":"Trabecular bone score: a noninvasive analytical method based upon the DXA image","volume":"29","author":"Silva","year":"2014","journal-title":"J Bone Miner Res."},{"issue":"11","key":"2024012713453429700_jbmr4342-bib-0025","doi-asserted-by":"crossref","first-page":"2762","DOI":"10.1002\/jbmr.499","article-title":"Bone microarchitecture assessed by TBS predicts osteoporotic fractures independent of bone density: the Manitoba study","volume":"26","author":"Hans","year":"2011","journal-title":"J Bone Miner Res."},{"issue":"9","key":"2024012713453429700_jbmr4342-bib-0026","doi-asserted-by":"crossref","first-page":"1958","DOI":"10.1002\/jbmr.86","article-title":"Correlates of trabecular and cortical volumetric bone mineral density at the femoral neck and lumbar spine: the Osteoporotic Fractures in Men Study (MrOS)","volume":"25","author":"Cauley","year":"2010","journal-title":"J Bone Miner Res."},{"issue":"5","key":"2024012713453429700_jbmr4342-bib-0027","doi-asserted-by":"crossref","first-page":"428","DOI":"10.1007\/s00223-014-9911-2","article-title":"Impact of femoral neck and lumbar spine BMD discordances on FRAX probabilities in women: a meta-analysis of international cohorts","volume":"95","author":"Johansson","year":"2014","journal-title":"Calcif Tissue Int."},{"issue":"1","key":"2024012713453429700_jbmr4342-bib-0028","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1007\/s00198-011-1703-1","article-title":"Combination of texture analysis and bone mineral density improves the prediction of fracture load in human femurs","volume":"23","author":"Le Corroller","year":"2012","journal-title":"Osteoporos Int."},{"issue":"2","key":"2024012713453429700_jbmr4342-bib-0029","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1210\/er.2006-0029","article-title":"Insights into material and structural basis of bone fragility from diseases associated with fractures: how determinants of the biomechanical properties of bone are compromised by disease","volume":"28","author":"Chavassieux","year":"2007","journal-title":"Endocr Rev."},{"issue":"4","key":"2024012713453429700_jbmr4342-bib-0030","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1016\/j.jocd.2013.08.004","article-title":"Executive summary of the 2013 International Society for Clinical Densitometry Position Development Conference on bone densitometry","volume":"16","author":"Schousboe","year":"2013","journal-title":"J Clin Densitom."},{"issue":"7","key":"2024012713453429700_jbmr4342-bib-0031","doi-asserted-by":"crossref","first-page":"1124","DOI":"10.3348\/kjr.2018.0070","article-title":"Reproducibility and generalizability in radiomics modeling: possible strategies in radiologic and statistical perspectives","volume":"20","author":"Park","year":"2019","journal-title":"Korean J Radiol."},{"key":"2024012713453429700_jbmr4342-bib-0032","author":"Qasempour"},{"issue":"3","key":"2024012713453429700_jbmr4342-bib-0033","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1016\/j.jocd.2012.01.002","article-title":"Obesity increases precision errors in dual-energy X-ray absorptiometry measurements","volume":"15","author":"Knapp","year":"2012","journal-title":"J Clin Densitom."},{"issue":"1","key":"2024012713453429700_jbmr4342-bib-0034","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.afos.2018.03.003","article-title":"An updated hip fracture projection in Asia: the Asian Federation of Osteoporosis Societies study","volume":"4","author":"Cheung","year":"2018","journal-title":"Osteoporos Sarcopenia."},{"issue":"8","key":"2024012713453429700_jbmr4342-bib-0035","doi-asserted-by":"crossref","first-page":"855","DOI":"10.1016\/j.jclinepi.2015.02.010","article-title":"The precision\u2013recall curve overcame the optimism of the receiver operating characteristic curve in rare diseases","volume":"68","author":"Ozenne","year":"2015","journal-title":"J Clin Epidemiol."}],"container-title":["Journal of Bone and Mineral Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/jbmr.4342","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/jbmr.4342","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/academic.oup.com\/jbmr\/article-pdf\/36\/9\/1708\/55454392\/jbmr4342.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/jbmr\/article-pdf\/36\/9\/1708\/55454392\/jbmr4342.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T15:07:22Z","timestamp":1710342442000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/jbmr\/article\/36\/9\/1708-1716\/7516520"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,1]]},"references-count":35,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2021,5,24]]},"published-print":{"date-parts":[[2020,12,1]]}},"URL":"https:\/\/doi.org\/10.1002\/jbmr.4342","relation":{},"ISSN":["0884-0431","1523-4681"],"issn-type":[{"value":"0884-0431","type":"print"},{"value":"1523-4681","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2020,12,1]]},"published":{"date-parts":[[2020,12,1]]},"assertion":[{"value":"2020-12-29","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-05-24","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-06-07","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}