{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T07:02:50Z","timestamp":1777618970923,"version":"3.51.4"},"reference-count":21,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2018,11,2]],"date-time":"2018-11-02T00:00:00Z","timestamp":1541116800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2018,11,2]],"date-time":"2018-11-02T00:00:00Z","timestamp":1541116800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"},{"start":{"date-parts":[[2018,11,2]],"date-time":"2018-11-02T00:00:00Z","timestamp":1541116800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":["clinicalkey.jp","clinicalkey.com","clinicalkey.es","arthroscopyjournal.org","clinicalkey.fr","clinicalkey.com.au","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Arthroscopy"],"published-print":{"date-parts":[[2018,12]]},"abstract":"<jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To compare the measurement of glenoid bone surface area (GBSA) and glenoid bone loss (GBL) between 3\u2010dimensional computed tomography (3D CT) and an autosegmentation approach for 3D magnetic resonance imaging (MRI) of patients with recurrent shoulder instability.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Eight subjects (2 women and 6 men; age range, 15\u201072\u00a0years [mean, 44 \u00b1 19\u00a0years]) were consecutively enrolled who had both CT and MRI of the shoulder for clinical shoulder instability. Inclusion criteria were patients with shoulder instability or other shoulder injury who had both a CT scan and MRI performed of the same shoulder. All patients underwent a 3D CT scan and a 3\u2010Tesla 3D MRI with additional volumetric and autosegmented sequences. En face views of the glenoid for both CT and MRI were auto\u2010 and manually measured for overall GBSA and GBL using best\u2010fit circle technique; the amount of GBL was compared with loss of GBSA and was expressed as a percentage of bone loss.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      There were no differences in GBL measured by 3D CT (41\u00a0mm\n                      <jats:sup>2<\/jats:sup>\n                      , 6.6%) vs 3D MRI (40\u00a0mm\n                      <jats:sup>2<\/jats:sup>\n                      , 6.5%,\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0= .852). The mean GBSA was not different among the manual\u2010 and autocalculated 3D CT (644\u00a0mm\n                      <jats:sup>2<\/jats:sup>\n                      vs 640\u00a0mm\n                      <jats:sup>2<\/jats:sup>\n                      ,\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0= .482). In addition, the manual MRI scan glenoid area was similar to the autocalculated 3D MRI (622\u00a0mm\n                      <jats:sup>2<\/jats:sup>\n                      vs 618\u00a0mm\n                      <jats:sup>2<\/jats:sup>\n                      , respectively;\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0= .482). Overall regression analysis demonstrated excellent correlation between CT and MRI for both GBSA and GBL calculations (\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      \u00a0= 0.84\u20100.90).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>3D MRI of the glenoid is nearly identical to 3D CT scans for measurement of GBSA and GBL, making 3D MRI a reliable alternative to a CT scan for a preoperative shoulder evaluation of the glenoid pathology. This study shows that a 3D MRI could be a radiation\u2010free and reliable alternative to a preoperative CT shoulder scan.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Level of Evidence<\/jats:title>\n                    <jats:p>Level III, case\u2010control study.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1016\/j.arthro.2018.06.050","type":"journal-article","created":{"date-parts":[[2018,11,2]],"date-time":"2018-11-02T20:08:22Z","timestamp":1541189302000},"page":"3141-3147","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":62,"title":["Measurement of Glenoid Bone Loss With 3\u2010Dimensional Magnetic Resonance Imaging: A Matched Computed Tomography Analysis"],"prefix":"10.1002","volume":"34","author":[{"given":"Bryan G.","family":"Vopat","sequence":"first","affiliation":[{"name":"University of Kansas Medical Center Kansas City Kansas U.S.A."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenli","family":"Cai","sequence":"additional","affiliation":[{"name":"Massachusetts General Hospital Boston Massachusetts U.S.A."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martin","family":"Torriani","sequence":"additional","affiliation":[{"name":"Massachusetts General Hospital Boston Massachusetts U.S.A."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthew L.","family":"Vopat","sequence":"additional","affiliation":[{"name":"University of Kansas School of Medicine\u2013Wichita Wichita Kansas U.S.A."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Murali","family":"Hemma","sequence":"additional","affiliation":[{"name":"Massachusetts General Hospital Boston Massachusetts U.S.A."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gordon J.","family":"Harris","sequence":"additional","affiliation":[{"name":"Massachusetts General Hospital Boston Massachusetts U.S.A."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kati","family":"Schantz","sequence":"additional","affiliation":[{"name":"Massachusetts General Hospital Boston Massachusetts U.S.A."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthew T.","family":"Provencher","sequence":"additional","affiliation":[{"name":"Steadman Philippon Research Institute and The Steadman Vail Colorado 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