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A radiomics signature was created by using the least absolute shrinkage and selection operator (LASSO) algorithm. A nomogram model was developed based on the radiomics scores. The performance of the nomogram was determined in terms of its discrimination, calibration, and clinical utility. An independent validation set contained 25 consecutive patients with 47 lesions (ORN,\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200925; metastasis,\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200922) from January 2013 to December 2015.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The radiomics signature that comprised eight selected features was significantly associated with the differentiation of cervical spine ORN and metastasis. The nomogram model demonstrated good calibration and discrimination in the training set [AUC, 0.725; 95% confidence interval (CI), 0.622\u20130.828] and the validation set (AUC, 0.720; 95% CI, 0.573\u20130.867). The decision curve analysis indicated that the radiomics nomogram was clinically useful.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>MRI-based radiomics nomogram shows potential value to differentiate cervical spine ORN from metastasis after RT in NPC.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s12880-020-00502-2","type":"journal-article","created":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T10:03:02Z","timestamp":1598954582000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Cervical spine osteoradionecrosis or bone metastasis after radiotherapy for nasopharyngeal carcinoma? 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