{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T02:39:14Z","timestamp":1785551954998,"version":"3.56.0"},"reference-count":20,"publisher":"Oxford University Press (OUP)","issue":"1097","license":[{"start":{"date-parts":[[2019,2,13]],"date-time":"2019-02-13T00:00:00Z","timestamp":1550016000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,5,1]]},"abstract":"<jats:sec>\n                  <jats:title>Objective:<\/jats:title>\n                  <jats:p>Osteoporosis is the most common metabolic bone disease that is not recognized in many elderly people. To determine the cause of low back pain, lumbosacral MRI is done for a large population who may not have gone under dual energy X-ray absorptiometry (DXA). The aim of this study was to predict bone density using lumbar spine signals in lumbosacral MRI in high risk patients for osteoporosis including post-menopausal females and calculate a threshold for a new quantitative MRI-based score to be used in estimation of lumbar spine bone mass density.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods:<\/jats:title>\n                  <jats:p>82 menopaused females, who had undergone DXA before, were selected and MRI was done within 6 months after DXA. 69 healthy females aged 20\u201329 years who had undergone lumbar MRI were selected as reference group. Results were analyzed and threshold and diagnostic performance of MRI-based score (M-score) on the method of T-score was calculated.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results:<\/jats:title>\n                  <jats:p>Negative correlation between M-score and T-score was detected. Cut off point of 2.05 was found for M-score with near sensitivity of 90% and specificity of 87% for detecting osteoporotic patients from non-osteoporotic individuals.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion:<\/jats:title>\n                  <jats:p>M-score is a MRI-based method which can identify patients at risk of osteoporosis. Early diagnosis of osteoporosis can reduce morbidity and mortality caused by it.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Advances in knowledge:<\/jats:title>\n                  <jats:p>The research introduced cut of points for M-score as a new MRI quantitative method to be used as an opportunistic technique for detecting osteoporotic patients.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1259\/bjr.20180774","type":"journal-article","created":{"date-parts":[[2019,2,14]],"date-time":"2019-02-14T04:03:53Z","timestamp":1550117033000},"source":"Crossref","is-referenced-by-count":38,"title":["Quantitative diagnosis of osteoporosis using lumbar spine signal intensity in magnetic resonance imaging"],"prefix":"10.1093","volume":"92","author":[{"given":"Azin","family":"Shayganfar","sequence":"first","affiliation":[{"name":"Department of Radiology, Isfahan University of Medical Sciences , Isfahan , Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maede","family":"Khodayi","sequence":"additional","affiliation":[{"name":"Department of Radiology, Isfahan University of Medical Sciences , Isfahan , Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6238-604X","authenticated-orcid":false,"given":"Shadi","family":"Ebrahimian","sequence":"additional","affiliation":[{"name":"Department of Radiology, Isfahan University of Medical Sciences , Isfahan , Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhale","family":"Tabrizi","sequence":"additional","affiliation":[{"name":"Department of Radiology, Isfahan University of Medical Sciences , Isfahan , 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