{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T16:55:11Z","timestamp":1786985711651,"version":"build-2736575974"},"reference-count":28,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T00:00:00Z","timestamp":1564617600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Can Assoc Radiol J"],"published-print":{"date-parts":[[2019,8]]},"abstract":"<jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>This study was designed to evaluate the role of multiparametric magnetic resonance imaging (MRI) for differentiation of parotid gland neoplasms.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Prospective study was conducted upon 52 consecutive patients (30 men, 22 women; aged 24\u201378 years; mean, 51 years) with parotid tumours that underwent multiparametric MRI using combined static MRI, dynamic contrast enhanced (DCE) MRI, and diffusion-weighted imaging (DWI). The static MRI parameter, time signal intensity curves (TIC) derived from DCE-MRI, and apparent diffusion coefficient (ADC) values of parotid tumours were correlated with histopathological findings.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Static MRI revealed a significant difference between both benign and malignant lesions in regards to margin definition ( P &lt; .001) and T2 hypointensity ( P &lt; .013), with a diagnostic accuracy 95% and 78.33% respectively. Study of the TIC type on DCE-MRI revealed statistically significant difference between benign and malignant lesions ( P &lt; .001) and diagnostic accuracy 96.55%. There was no statistically significant difference ( P = .181) between the ADC values of benign and malignant lesions. ROC curve analysis revealed that by using ADC cut-off value of 1 \u00d7 10\n                      <jats:sup>\u22123<\/jats:sup>\n                      mm\n                      <jats:sup>2<\/jats:sup>\n                      \/s had accuracy of 84.62% respectively for differentiating Warthin from malignant tumours that could be modified to higher value (94.28%) by excluding lymphoma from malignant lesions. By using cutoff value of 1.3 \u00d7 10\n                      <jats:sup>\u22123<\/jats:sup>\n                      mm\n                      <jats:sup>2<\/jats:sup>\n                      \/s to differentiate pleomorphic adenoma from malignancy, ROC curve analysis had high accuracy of 97.06%.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Multiparametric MRI can be used for differentiation of malignant from benign parotid tumours and characterization of some benign parotid tumours.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1016\/j.carj.2018.10.010","type":"journal-article","created":{"date-parts":[[2019,3,25]],"date-time":"2019-03-25T10:27:58Z","timestamp":1553509678000},"page":"264-272","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":41,"title":["Diagnostic Accuracy of Multiparametric Magnetic Resonance Imaging for Differentiation between Parotid Neoplasms"],"prefix":"10.1177","volume":"70","author":[{"given":"Ali H.","family":"Elmokadem","sequence":"first","affiliation":[{"name":"Departments of Diagnostic and Interventional Radiology, Mansoura University, Dakahlia, Egypt"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahmed M.","family":"Abdel Khalek","sequence":"additional","affiliation":[{"name":"Departments of Diagnostic and Interventional Radiology, Mansoura University, Dakahlia, Egypt"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rihame M.","family":"Abdel Wahab","sequence":"additional","affiliation":[{"name":"Departments of Diagnostic and Interventional Radiology, Mansoura University, Dakahlia, Egypt"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nehal","family":"Tharwat","sequence":"additional","affiliation":[{"name":"Departments of Diagnostic and Interventional Radiology, Mansoura 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