{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T16:02:45Z","timestamp":1787500965369,"version":"build-2736575974"},"reference-count":32,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2023,8,12]],"date-time":"2023-08-12T00:00:00Z","timestamp":1691798400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Eur J Clin Investigation"],"published-print":{"date-parts":[[2023,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>To investigate the potential of radiomic features and dual\u2010source dual\u2010energy CT (DECT) parameters in differentiating between benign and malignant mediastinal masses and predicting patient outcomes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>In this retrospective study, we analysed data from 90 patients (38 females, mean age 51\u2009\u00b1\u200925\u2009years) with confirmed mediastinal masses who underwent contrast\u2010enhanced DECT. Attenuation, radiomic features and DECT\u2010derived imaging parameters were evaluated by two experienced readers. We performed analysis of variance (ANOVA) and Chi\u2010square statistic tests for data comparison. Receiver operating characteristic curve analysis and Cox regression tests were used to differentiate between mediastinal masses.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Of the 90 mediastinal masses, 49 (54%) were benign, including cases of thymic hyperplasia\/thymic rebound (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200910), mediastinitis (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200916) and thymoma (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200923). The remaining 41 (46%) lesions were classified as malignant, consisting of lymphoma (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200928), mediastinal tumour (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20094) and thymic carcinoma (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20099). Significant differences were observed between benign and malignant mediastinal masses in all DECT\u2010derived parameters (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009\u2264\u2009.001) and 38 radiomic features (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009\u2264\u2009.044) obtained from contrast\u2010enhanced DECT. The combination of these methods achieved an area under the curve of .98 (95% CI, .893\u20131.000;\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u2009.001) to differentiate between benign and malignant masses, with 100% sensitivity and 91% specificity. Throughout a follow\u2010up of 1800\u2009days, a multiparametric model incorporating radiomic features, DECT parameters and gender showed promising prognostic power in predicting all\u2010cause mortality (c\u2010index\u2009=\u2009.8 [95% CI, .702\u2013.890],\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u2009.001).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>A multiparametric approach combining radiomic features and DECT\u2010derived imaging biomarkers allows for accurate and noninvasive differentiation between benign and malignant masses in the anterior mediastinum.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/eci.14075","type":"journal-article","created":{"date-parts":[[2023,8,12]],"date-time":"2023-08-12T05:48:35Z","timestamp":1691819315000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Advanced biomedical imaging for accurate discrimination and prognostication of mediastinal masses"],"prefix":"10.1111","volume":"53","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4020-1873","authenticated-orcid":false,"given":"Scherwin","family":"Mahmoudi","sequence":"first","affiliation":[{"name":"Department of Diagnostic and Interventional Radiology University Hospital Frankfurt  Frankfurt am Main Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leon D.","family":"Gruenewald","sequence":"additional","affiliation":[{"name":"Department of Diagnostic and Interventional Radiology University Hospital Frankfurt  Frankfurt am Main 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M.","family":"Hammerstingl","sequence":"additional","affiliation":[{"name":"Department of Diagnostic and Interventional Radiology University Hospital Frankfurt  Frankfurt am Main Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christof M.","family":"Sommer","sequence":"additional","affiliation":[{"name":"Clinic for Diagnostic and Interventional Radiology University Hospital Heidelberg  Heidelberg Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christophe","family":"Weber","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Angiology and Pulmonology University Hospital Heidelberg  Heidelberg Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haidara","family":"Almansour","sequence":"additional","affiliation":[{"name":"Department of Diagnostic and Interventional Radiology Tuebingen University Hospital  Tuebingen 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