{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:11:31Z","timestamp":1772118691657,"version":"3.50.1"},"reference-count":18,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2022,3,21]],"date-time":"2022-03-21T00:00:00Z","timestamp":1647820800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001171","name":"Cancer Institute NSW","doi-asserted-by":"publisher","award":["Translational Research Project Support Scheme"],"award-info":[{"award-number":["Translational Research Project Support Scheme"]}],"id":[{"id":"10.13039\/501100001171","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["asbmr.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["JBMR Plus"],"published-print":{"date-parts":[[2022,5]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Fracture risk evaluation of postmenopausal women is suboptimal, but most women undergo screening mammography. Digital X\u2010radiogrammetry (DXR) determines bone mineral density (BMD) at the metacarpal shaft and can be performed on mammography equipment. This study examined correlations between DXR and dual\u2010energy X\u2010ray absorptiometry (DXA) in women undergoing mammography, to identify optimal DXR thresholds for triage to osteoporosis screening by central DXA. Postmenopausal women over age 50\u2009years, recruited from Westmead Hospital's Breast Cancer Institute, underwent mammography, DXR and DXA. Agreements were determined using the area under the receiver operator characteristic (AUC ROC) curve and Lin's concordance correlation coefficient. Optimal DXR\n                    <jats:italic>T<\/jats:italic>\n                    \u2010scores to exclude osteoporosis by DXA were determined using the Youden's method. Of 200 women aged 64\u2009\u00b1\u20097\u2009years (mean \u00b1 standard deviation [SD]), 82% had been diagnosed with breast cancer and 37% reported prior fracture. DXA\n                    <jats:italic>T<\/jats:italic>\n                    \u2010scores were \u2264 \u22121 at the spine, hip or forearm in 77.5% and accorded with DXR\n                    <jats:italic>T<\/jats:italic>\n                    \u2010scores in 77%. For DXR and DXA\n                    <jats:italic>T<\/jats:italic>\n                    \u2010scores \u2264 \u22122.5, the AUC ROC was 0.87 (95% confidence interval [CI], 0.81\u20130.94) at the 1\/3 radius, and 0.74 (95% CI, 0.64\u20130.84) for hip or spine. DXR\n                    <jats:italic>T<\/jats:italic>\n                    \u2010scores &gt; \u22121.98 provided a negative predictive value of 94% (range, 88%, 98%) for osteoporosis by central DXA. In response to a questionnaire, radiography staff responded that DXR added 5\u2009minutes to patient throughput with minimal workflow impact. In the mammography setting, triaging women with a screening DXR\n                    <jats:italic>T<\/jats:italic>\n                    \u2010score &lt; \u22121.98 for DXA evaluation would capture a significant proportion of at\u2010risk women who may not otherwise be identified and improve current low rates of osteoporosis screening. \u00a9 2022 The Authors.\n                    <jats:italic>JBMR Plus<\/jats:italic>\n                    published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.\n                  <\/jats:p>","DOI":"10.1002\/jbm4.10618","type":"journal-article","created":{"date-parts":[[2022,3,2]],"date-time":"2022-03-02T04:18:27Z","timestamp":1646194707000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Improving Bone Mineral Density Screening by Using Digital\n                    <scp>X\u2010Radiogrammetry<\/scp>\n                    Combined With Mammography"],"prefix":"10.1093","volume":"6","author":[{"given":"Amshuman","family":"Rao","sequence":"first","affiliation":[{"name":"University of Notre Dame Australia School of Medicine  Sydney NSW Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elisabeth","family":"Elder","sequence":"additional","affiliation":[{"name":"Westmead Breast Cancer Institute  Westmead NSW Australia"},{"name":"University of Sydney  Sydney NSW Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jacqueline R.","family":"Center","sequence":"additional","affiliation":[{"name":"Bone Biology Division, Garvan Institute of Medical Research  Darlinghurst NSW Australia"},{"name":"St Vincent's Hospital Clinical School, UNSW  Sydney NSW Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thach","family":"Tran","sequence":"additional","affiliation":[{"name":"Bone Biology Division, Garvan Institute of Medical Research  Darlinghurst NSW Australia"},{"name":"St Vincent's Hospital Clinical School, UNSW  Sydney NSW Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicholas","family":"Pocock","sequence":"additional","affiliation":[{"name":"St Vincent's Hospital Clinical School, UNSW  Sydney NSW Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5685-4636","authenticated-orcid":false,"given":"Grahame J.","family":"Elder","sequence":"additional","affiliation":[{"name":"University of Notre Dame Australia School of Medicine  Sydney NSW Australia"},{"name":"University of Sydney  Sydney NSW Australia"},{"name":"Bone Biology Division, Garvan Institute of Medical Research  Darlinghurst NSW Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2022,3,21]]},"reference":[{"key":"e_1_2_9_2_1","volume-title":"Osteoporois costing all Australians: a new burden of disease analysis\u20142012 to 2022","author":"Watts JJ","year":"2013"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1210\/jc.2017-02656"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1808082"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2018.7498"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40985-018-0080-0"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jval.2017.04.012"},{"key":"e_1_2_9_8_1","volume-title":"BreastScreen Australia monitoring report. ISBN 978\u20101\u201076054\u2010893\u20103 (PDF)","author":"Australian Institute of Health and Welfare (AIHW)","year":"2021"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocd.2014.07.007"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocd.2010.07.005"},{"key":"e_1_2_9_11_1","doi-asserted-by":"publisher","DOI":"10.1385\/JCD:4:1:05"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1002\/1097-0142(1950)3:1<32::AID-CNCR2820030106>3.0.CO;2-3"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s001980200040"},{"key":"e_1_2_9_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00198-005-2018-x"},{"key":"e_1_2_9_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocd.2007.12.012"},{"key":"e_1_2_9_16_1","doi-asserted-by":"publisher","DOI":"10.5694\/mja11.10571"},{"key":"e_1_2_9_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00198-014-2794-2"},{"key":"e_1_2_9_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.maturitas.2020.10.019"},{"key":"e_1_2_9_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bone.2016.02.011"}],"container-title":["JBMR Plus"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/jbm4.10618","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/jbm4.10618","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/jbm4.10618","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T09:57:03Z","timestamp":1710410223000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/jbmrplus\/article\/7479603"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,21]]},"references-count":18,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2022,5]]}},"alternative-id":["10.1002\/jbm4.10618"],"URL":"https:\/\/doi.org\/10.1002\/jbm4.10618","archive":["Portico"],"relation":{"has-review":[{"id-type":"doi","id":"10.1002\/JBM4.10618\/v1\/decision1","asserted-by":"object"},{"id-type":"doi","id":"10.1002\/JBM4.10618\/v1\/review1","asserted-by":"object"},{"id-type":"doi","id":"10.1002\/JBM4.10618\/v2\/decision1","asserted-by":"object"},{"id-type":"doi","id":"10.1002\/JBM4.10618\/v2\/response1","asserted-by":"object"},{"id-type":"doi","id":"10.1002\/JBM4.10618\/v1\/review2","asserted-by":"object"},{"id-type":"doi","id":"10.1002\/JBM4.10618\/v2\/review1","asserted-by":"object"},{"id-type":"doi","id":"10.1002\/JBM4.10618\/v2\/review2","asserted-by":"object"},{"id-type":"doi","id":"10.1002\/JBM4.10618\/v1\/review3","asserted-by":"object"}]},"ISSN":["2473-4039","2473-4039"],"issn-type":[{"value":"2473-4039","type":"print"},{"value":"2473-4039","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,21]]},"assertion":[{"value":"2021-08-22","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-12-15","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-03-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e10618"}}