{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,3]],"date-time":"2026-10-03T17:54:26Z","timestamp":1791050066044,"version":"4.1.0"},"reference-count":21,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T00:00:00Z","timestamp":1790640000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Shoulder &amp; Elbow"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Osteoporosis is frequently unrecognised in patients undergoing rotator cuff repair. Shoulder magnetic resonance imaging (MRI), already standard of care, offers an opportunity for opportunistic osteoporosis screening.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To evaluate whether proximal humeral cortical bone thickness on shoulder MRI can predict osteoporosis in patients with rotator cuff tears (RCTs).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A retrospective, cross-sectional study included 130 female patients (mean age 68.8\u2009\u00b1\u20098.9 years) who underwent shoulder MRI and dual-energy X-ray absorptiometry (DXA) within 6 months. Average cortical bone thickness (CBTavg) and cortical bone thickness index (CBTg) were measured on coronal T1-weighted images. Patients were classified per World Health Organization DXA criteria (T-score\u2009\u2264\u2009\u22122.5) at the femur, the lumbar spine and either site (all-site). Only female patients were eligible for inclusion; no male data were collected.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>CBTavg and CBTg were significantly lower in osteoporosis groups across all classification schemes. For femur DXA, CBTavg at 4.5\u2005mm achieved 100% sensitivity and 86% specificity (area under the curve (AUC)\u2009=\u20090.955). For all-site osteoporosis, CBTg at 0.26 yielded 100% sensitivity and 87.8% specificity (AUC\u2009=\u20090.958).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>MRI-derived proximal humeral cortical thickness is a promising osteoporosis screening tool in RCT patients. A CBTavg below 4.5\u2005mm should prompt DXA referral, improving preoperative bone health assessment without added cost or radiation. These cut-offs require external validation before clinical implementation.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/17585732261491314","type":"journal-article","created":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T14:45:12Z","timestamp":1790693112000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Magnetic resonance imaging-based cortical thickness as a predictor of osteoporosis in rotator cuff tears"],"prefix":"10.1177","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-5474-9866","authenticated-orcid":false,"given":"Suphasan","family":"Keatisuwan","sequence":"first","affiliation":[{"name":"Angthong Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jirantanin","family":"Rattanavarinchai","sequence":"additional","affiliation":[{"name":"Police General Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-4499-9105","authenticated-orcid":false,"given":"Thaworn","family":"Sisayanarane","sequence":"additional","affiliation":[{"name":"Police General Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-9371-8236","authenticated-orcid":false,"given":"Kanin","family":"Lumdee","sequence":"additional","affiliation":[{"name":"Police General Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-6539-082X","authenticated-orcid":false,"given":"Natthicha","family":"Saowatanpong","sequence":"additional","affiliation":[{"name":"Police General Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-3789-4129","authenticated-orcid":false,"given":"Jidapa","family":"Iamwat","sequence":"additional","affiliation":[{"name":"Police General Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-9297-7355","authenticated-orcid":false,"given":"Natthamon","family":"Suwannaprom","sequence":"additional","affiliation":[{"name":"Strategic Foresight and Future Studied, Office of National Higher Education Science Research and Innovation Policy Council (NXPO)"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,9,29]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.2106\/00004623-199501000-00002"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.2106\/00004623-200608000-00002"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1177\/17585732231207338"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ocl.2018.10.006"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1177\/0363546513485719"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00198-014-2795-1"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.4055\/cios24015"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1302\/0301-620X.85B4.12843"},{"key":"e_1_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jse.2012.08.018"},{"key":"e_1_3_3_11_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11657-021-00896-8"},{"key":"e_1_3_3_12_2","doi-asserted-by":"publisher","DOI":"10.1002\/jor.22994"},{"key":"e_1_3_3_13_2","doi-asserted-by":"publisher","DOI":"10.1002\/jor.23520"},{"key":"e_1_3_3_14_2","doi-asserted-by":"publisher","DOI":"10.1177\/17585732241279090"},{"key":"e_1_3_3_15_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00198-019-05176-3"},{"key":"e_1_3_3_16_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11999-015-4322-x"},{"key":"e_1_3_3_17_2","first-page":"37","article-title":"Indices of risk assessment of fracture of the proximal humerus","volume":"9","author":"Giannotti S","year":"2012","unstructured":"Giannotti S, Bottai V, Dell\u2019osso G, et al. Indices of risk assessment of fracture of the proximal humerus. 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