{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T04:22:26Z","timestamp":1771561346490,"version":"3.50.1"},"reference-count":34,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2021,11,28]],"date-time":"2021-11-28T00:00:00Z","timestamp":1638057600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81971578"],"award-info":[{"award-number":["81971578"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81871326"],"award-info":[{"award-number":["81871326"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Orthopaedic Surgery"],"published-print":{"date-parts":[[2021,12]]},"abstract":"<jats:sec><jats:title>Objectives<\/jats:title><jats:p>To explore the predictive value of preoperative imaging in patients with spinal giant cell tumor of bone (GCTB) for postoperative recurrence and risk stratification.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Clinical data for 62 cases of spinal GCTB diagnosed and treated at our hospital from 2008 to 2018 were identified. All patients were followed up for more than 2\u2009years according to the clinical guidelines after surgery. Medical history data including baseline demographic and clinical characteristics, computed tomography (CT) and magnetic resonance imaging (MRI) findings of recurrent and non\u2010recurrent patients were compared. Two musculoskeletal radiologists read the images and were blinded to the clinical data. The imaging features associated with postoperative recurrence were analyzed by multivariate logistic regression, and receiver operating characteristic (ROC) curve analysis was performed to determine the optimal cutoff value of the largest lesion diameter predicting recurrence after surgery.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>According to whether the disease recurred within the follow\u2010up period, patients were divided into the recurrence group and the non\u2010recurrence group. Of 62 patients (29 males and 33 females), 17 had recurrence and 45 did not. The recurrence rate was 27.4%. The mean follow\u2010up time was 73.66 (\u00b1\u200932.92) months. The three major treatments were total <jats:italic>en bloc<\/jats:italic> spondylectomy (<jats:italic>n<\/jats:italic>\u00a0=\u00a026), intralesional spondylectomy (<jats:italic>n<\/jats:italic>\u00a0=\u00a020), and curettage(<jats:italic>n<\/jats:italic>\u00a0=\u00a016). A total of 16 CT and MRI features were analyzed. A univariate analysis showed no significant difference in age, sex, treatment, multi\u2010vertebral body involvement, location, boundary, expansile mass, residual bone crest, paravertebral soft tissue mass, CT value, and MRI signal on T1\u2010weighted imaging (WI), T2\u2010WI, and T2\u2010WI fat suppression (FS) sequences (<jats:italic>P<\/jats:italic> &gt;\u20090.05). The largest lesion diameter [(4.68\u2009\u00b1\u20091.79) <jats:italic>vs<\/jats:italic> (5.92\u2009\u00b1\u20092.17) cm, <jats:italic>t<\/jats:italic>\u00a0=\u00a02.287, <jats:italic>P<\/jats:italic>\u00a0=\u00a00.026] and the vertebral compression fracture (51% <jats:italic>vs<\/jats:italic> 82%, <jats:italic>\u03c7<\/jats:italic><jats:sup><jats:italic>2<\/jats:italic><\/jats:sup>\u00a0=\u00a05.005, <jats:italic>P<\/jats:italic>\u00a0=\u00a00.025) were significantly different between the non\u2010recurrence and recurrence groups. Logistic regression analysis showed that both largest lesion diameter (odds ratio [<jats:italic>OR<\/jats:italic>], 1.584; 95% confidence interval [<jats:italic>CI<\/jats:italic>], 1.108\u20132.264; <jats:italic>P<\/jats:italic>\u00a0=\u00a00.012) and compression fracture (<jats:italic>OR<\/jats:italic>, 8.073; 95%<jats:italic>CI<\/jats:italic>, 1.481\u201311.003; <jats:italic>P<\/jats:italic>\u00a0=\u00a00.016) were independent predictors of postoperative recurrence. When we set the cutoff value for the largest lesion diameter at 4.2 cm, the sensitivity and specificity for distinguishing the recurrence and non\u2010recurrence of GCTB were 94.1% and 42.2%, respectively, and the area under the curve (AUC) was 0.671. The combined model achieved a sensitivity, specificity and accuracy of 47.1%, 97.8% and 83.9%, respectively.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>In spinal GCTB, maximum lesion diameter and the vertebral compression fracture are associated with tumor recurrence after surgery, which may provide helpful information for planning personalized treatment.<\/jats:p><\/jats:sec>","DOI":"10.1111\/os.13173","type":"journal-article","created":{"date-parts":[[2021,11,29]],"date-time":"2021-11-29T07:00:25Z","timestamp":1638169225000},"page":"2405-2416","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Clinical Significance of Preoperative <scp>CT<\/scp> and <scp>MR<\/scp> Imaging Findings in the Prediction of Postoperative Recurrence of Spinal Giant Cell Tumor of Bone"],"prefix":"10.1111","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9126-8050","authenticated-orcid":false,"given":"Qi\u2010zheng","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Radiology Peking University Third Hospital  Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7012-1081","authenticated-orcid":false,"given":"En\u2010long","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Radiology Peking University International Hospital  Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiao\u2010ying","family":"Xing","sequence":"additional","affiliation":[{"name":"Department of Radiology Peking University Third Hospital  Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min\u2010ying","family":"Su","sequence":"additional","affiliation":[{"name":"Department of Radiological Sciences University of California  Irvine California USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1860-2918","authenticated-orcid":false,"given":"Ning","family":"Lang","sequence":"additional","affiliation":[{"name":"Department of Radiology Peking University Third Hospital  Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,11,28]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.2106\/00004623-197052040-00001"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00428-004-1113-2"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1053\/S0046-8177(03)00413-1"},{"key":"e_1_2_7_5_1","first-page":"64","article-title":"WHO classification of tumours of soft tissue and bone 2013: the main changes compared to the 3rd edition","volume":"50","author":"Zambo I","year":"2014","journal-title":"Cesk 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