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Diagnostic performance was assessed by independent sample t-test, chi-square test, logistic regression analysis, receiver operating characteristic curve (ROC), and DeLong test.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>NPL has significantly lower T2, PD, and ADC values compared to NPC (all P\u2009&amp;lt;\u2009.05), whereas no significant difference was found in T1 value between these two entities (P\u2009&amp;gt;\u2009.05). The morphological features of tumour type, skull-base involvement, Waldeyer ring involvement, and lymph nodes involvement region were significantly different between NPL and NPC (all P\u2009&amp;lt;\u2009.05). The syMRI (T2\u2009+\u2009PD) model has better diagnostic efficacy, with AUC, sensitivity, specificity, and accuracy of 0.875, 77.27%, 89.36%, and 85.51%. Compared with syMRI model, syMRI\u2009+\u2009Morph (PD\u2009+\u2009Waldeyer ring involvement\u2009+\u2009lymph nodes involvement region), syMRI\u2009+\u2009DWI (T2\u2009+\u2009PD\u2009+\u2009ADC), and syMRI\u2009+\u2009DWI\u2009+\u2009Morph (PD\u2009+\u2009ADC\u2009+\u2009skull-base involvement\u2009+\u2009Waldeyer ring involvement) models can further improve the diagnostic efficiency (all P\u2009&amp;lt;\u2009.05). Furthermore, syMRI\u2009+\u2009DWI\u2009+\u2009Morph model has excellent diagnostic performance, with AUC, sensitivity, specificity, and accuracy of 0.986, 95.47%, 97.87%, and 97.10%, respectively.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>syMRI and DWI quantitative parameters were helpful in discriminating NPL from NPC. syMRI\u2009+\u2009DWI\u2009+\u2009Morph model has the excellent diagnostic efficiency in differentiating these two entities.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Advances in knowledge<\/jats:title>\n                  <jats:p>syMRI\u2009+\u2009DWI\u2009+\u2009morphological feature method can differentiate NPL from NPC with excellent diagnostic performance.<\/jats:p>\n               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