{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T14:52:31Z","timestamp":1788533551422,"version":"build-2803163510"},"reference-count":40,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2022,8,20]],"date-time":"2022-08-20T00:00:00Z","timestamp":1660953600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61971350"],"award-info":[{"award-number":["61971350"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2019M653717"],"award-info":[{"award-number":["2019M653717"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2023,5]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Ocular adnexal lymphoma (OAL) and idiopathic orbital inflammation (IOI) are malignant and benign lesions for which radiotherapy and corticosteroids are indicated, but similar clinical manifestations make their differentiation difficult.<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To develop and validate an MRI\u2010based radiomics nomogram for individual diagnosis of OAL vs. IOI.<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Type<\/jats:title><jats:p>Retrospective.<\/jats:p><\/jats:sec><jats:sec><jats:title>Population<\/jats:title><jats:p>A total of 103 patients (46.6% female) with mean age of 56.4\u2009\u00b1\u200916.3\u2009years having OAL (<jats:italic>n<\/jats:italic>\u00a0=\u00a058) or IOI (<jats:italic>n<\/jats:italic>\u00a0=\u00a045) were divided into an independent training (<jats:italic>n<\/jats:italic>\u00a0=\u00a082) and a testing dataset (<jats:italic>n<\/jats:italic>\u00a0=\u00a021).<\/jats:p><\/jats:sec><jats:sec><jats:title>Field Strength\/Sequence<\/jats:title><jats:p>A 3\u2010T, precontrast T1\u2010weighted imaging (T1WI), T2\u2010weighted imaging (T2WI), and postcontrast T1WI (T1\u2009+\u2009C).<\/jats:p><\/jats:sec><jats:sec><jats:title>Assessment<\/jats:title><jats:p>Radiomics features were extracted and selected from segmented tumors and peritumoral regions in MRI before\u2010and\u2010after filtering. These features, alone or combined with clinical characteristics, were used to construct a radiomics or joint signature to differentiate OAL from IOI, respectively. A joint nomogram was built to show the impact of the radiomics signature and clinical characteristics on individual risk of developing OAL.<\/jats:p><\/jats:sec><jats:sec><jats:title>Statistical Tests<\/jats:title><jats:p>Area under the curve (AUC) and accuracy (ACC) were used for performance evaluation. Mann\u2013Whitney <jats:italic>U<\/jats:italic> and Chi\u2010square tests were used to analyze continuous and categorical variables. Decision curve analysis, kappa statistics, DeLong and Hosmer\u2013Lemeshow tests were also conducted. <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.05 was considered statistically significant.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The joint signature achieved an AUC of 0.833 (95% confidence interval [CI]: 0.806\u20130.870), slightly better than the radiomics signature with an AUC of 0.806 (95% CI: 0.767\u20130.838) (<jats:italic>P<\/jats:italic>\u00a0=\u00a00.778). The joint and radiomics signatures were comparable to experienced radiologists referencing to clinical characteristics (ACC\u00a0=\u00a00.810 vs. 0.796\u20130.806, <jats:italic>P<\/jats:italic>\u2009&gt;\u20090.05) or not (AUC\u00a0=\u00a00.806 vs. 0.753\u20130.791, <jats:italic>P<\/jats:italic>\u2009&gt;\u20090.05), respectively. The joint nomogram gained more net benefits than the radiomics nomogram, despite both showing good calibration and discriminatory efficiency (<jats:italic>P<\/jats:italic>\u2009&gt;\u20090.05).<\/jats:p><\/jats:sec><jats:sec><jats:title>Data Conclusion<\/jats:title><jats:p>The developed radiomics\u2010based analysis might help to improve the diagnostic performance and reveal the association between radiomics features and individual risk of developing OAL.<\/jats:p><\/jats:sec><jats:sec><jats:title>Evidence Level<\/jats:title><jats:p>3<\/jats:p><\/jats:sec><jats:sec><jats:title>Technical Efficacy<\/jats:title><jats:p>3<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.28404","type":"journal-article","created":{"date-parts":[[2022,8,20]],"date-time":"2022-08-20T10:04:57Z","timestamp":1660989897000},"page":"1594-1604","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["<scp>MRI\u2010Based<\/scp> Radiomics Nomogram for Preoperative Differentiation Between Ocular Adnexal Lymphoma and Idiopathic Orbital Inflammation"],"prefix":"10.1002","volume":"57","author":[{"given":"Lijuan","family":"Yang","sequence":"first","affiliation":[{"name":"Department of Radiology Xi'an People's Hospital (Xi'an Fourth Hospital)  Xi'an Shaanxi China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huachen","family":"Zhang","sequence":"additional","affiliation":[{"name":"Xi'an Key Lab of Radiomics and Intelligent Perception, School of Information Science and Technology Northwest University  Xi'an Shaanxi China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyang","family":"Xie","sequence":"additional","affiliation":[{"name":"Xi'an Key Lab of Radiomics and Intelligent Perception, School of Information Science and Technology Northwest University  Xi'an Shaanxi 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