{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T00:47:46Z","timestamp":1792025266216,"version":"4.4.0"},"reference-count":17,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T00:00:00Z","timestamp":1782432000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T00:00:00Z","timestamp":1782432000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Radiol med"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To evaluate whether routinely assessed MRI features can reliably estimate the timing of rotator cuff tears (RCTs) and to assess the performance of an MRI-based logistic regression model in distinguishing recent from chronic tears.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Material and methods<\/jats:title>\n                    <jats:p>In this retrospective single-center study, 255 patients with clinically and MRI-confirmed RCT following shoulder trauma underwent MRI between 2011 and 2024. Tears were classified as acute (&lt;\u20096\u00a0weeks), subacute (6\u201312\u00a0weeks), or chronic (&gt;\u200912\u00a0weeks) based on the reported date of trauma; acute and subacute tears were grouped as \u201crecent\u201d. Ten predefined MRI features were independently assessed. Univariable diagnostic performance metrics were calculated for each feature. A multivariable Firth-penalized logistic regression model was developed to discriminate recent from chronic tears, with internal validation performed using bootstrap resampling.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Among the 255 patients (mean age 58.3\u00a0years; 65% male), intra-\/peri-muscular edema (42% in recent vs 12% in chronic tears) and frayed, hyperintense tendon fibers emerged as independent predictors of recent injury (odds ratios 4.15 and 6.78, respectively). However, traditional markers of chronicity\u2014including fatty infiltration, muscle atrophy, tendon retraction, and superior humeral head migration\u2014showed limited discriminative value. The multivariable model demonstrated modest performance, with an ideal area under the curve (AUC) of 0.74 and an optimism-corrected AUC of 0.68. Sensitivity and specificity at the optimal threshold were 56% and 82%, respectively.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Although selected MRI findings are associated with recent RCT, an MRI-based logistic regression model provides limited accuracy for timing estimation.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s11547-026-02248-3","type":"journal-article","created":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T14:52:54Z","timestamp":1782485574000},"page":"1867-1876","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Can we use MRI for timing estimation of rotator cuff tears?"],"prefix":"10.1007","volume":"131","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7989-9861","authenticated-orcid":false,"given":"Domenico","family":"Albano","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Salvatore","family":"Gitto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carmelo","family":"Messina","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aldo","family":"Rizzo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Riccardo","family":"Giorgino","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carlo","family":"Perfetti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giuseppe Davide","family":"Albano","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kholoud I. 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The other authors have no competing interests to disclose.","order":1,"name":"Ethics","label":"Conflict of interest","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This study was approved by the Institutional Review Board of Lombardia 1, Milan, Italy (RETRORAD protocol, CE: 61\/INT\/2017, approved on 12th January 2026).","order":2,"name":"Ethics","label":"Ethics approval","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The Institutional Review Board granted a waiver for informed consent.","order":3,"name":"Ethics","label":"Consent to participate","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The Institutional Review Board granted a waiver for informed consent.","order":4,"name":"Ethics","label":"Consent for publication","group":{"name":"EthicsHeading","label":"Declarations"}}]}}