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DCE-MRI and DKI quantitative parameters were measured. The Kruskal\u2013Wallis H test and post hoc test with Bonferroni correction and ROC curve were used for statistical analysis.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>WTs demonstrated the highest <jats:italic>K<\/jats:italic><jats:sub>ep<\/jats:sub> value (median 1.89, interquartile range [1.46\u20132.31] min<jats:sup>\u22121<\/jats:sup>) but lowest <jats:italic>V<\/jats:italic><jats:sub>e<\/jats:sub> value (0.20, [0.15\u20130.25]) compared with PAs (<jats:italic>K<\/jats:italic><jats:sub>ep<\/jats:sub>, 0.34 [0.21\u20130.55] min<jats:sup>\u22121<\/jats:sup>; <jats:italic>V<\/jats:italic><jats:sub>e<\/jats:sub>, 0.36 [0.24\u20130.43]), OBTs (<jats:italic>K<\/jats:italic><jats:sub>ep<\/jats:sub>, 1.22 [0.27\u20131.67] min<jats:sup>\u22121<\/jats:sup>; <jats:italic>V<\/jats:italic><jats:sub>e<\/jats:sub>, 0.28 [0.25\u20130.41]), and MTs (<jats:italic>K<\/jats:italic><jats:sub>ep<\/jats:sub>, 0.71 [0.50\u20131.23] min<jats:sup>\u22121<\/jats:sup>; <jats:italic>V<\/jats:italic><jats:sub>e<\/jats:sub>, 0.35 [0.26\u20130.45]) (all <jats:italic>p<\/jats:italic>\u2009&lt;\u2009.05). MTs had the lower <jats:italic>D<\/jats:italic> value (1.10, [0.88\u20131.29]\u2009\u00d7\u200910<jats:sup>\u22123<\/jats:sup> mm<jats:sup>2<\/jats:sup>\/s) compared with PAs (1.81, [1.60\u20132.20]\u2009\u00d7\u200910<jats:sup>\u22123<\/jats:sup> mm<jats:sup>2<\/jats:sup>\/s) and OBTs (1.57, [1.32\u20131.89]\u2009\u00d7\u200910<jats:sup>\u22123<\/jats:sup> mm<jats:sup>2<\/jats:sup>\/s) (both <jats:italic>p<\/jats:italic>\u2009&lt;\u2009.05). PAs had the lower K<jats:sup>trans<\/jats:sup> value (0.12, [0.07\u20130.18] min<jats:sup>\u22121<\/jats:sup>) compared with OBTs (0.28, [0.11\u20130.50] min<jats:sup>\u22121<\/jats:sup>) (<jats:italic>p<\/jats:italic>\u2009&lt;\u2009.05). The cutoff values of combined <jats:italic>K<\/jats:italic><jats:sub>ep<\/jats:sub> and <jats:italic>V<\/jats:italic><jats:sub>e<\/jats:sub>, <jats:italic>D<\/jats:italic>, and <jats:italic>K<\/jats:italic><jats:sup>trans<\/jats:sup> to distinguish WTs, MTs, and PAs sequentially were 1.06\u00a0min<jats:sup>\u22121<\/jats:sup>, 0.28, 1.46\u2009\u00d7\u200910<jats:sup>\u22123<\/jats:sup> mm<jats:sup>2<\/jats:sup>\/s, and 0.21\u00a0min<jats:sup>\u22121<\/jats:sup>, respectively (accuracy, 89% [71\/80], 91% [73\/80], 78% [62\/80], respectively).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>The combined use of DKI and DCE-MRI may help differentiate parotid gland tumors.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Key Points<\/jats:title>\n                <jats:p><jats:italic>\u2022 The combined use of DKI and DCE-MRI could facilitate the understanding of the pathophysiological characteristics of parotid gland tumors.<\/jats:italic><\/jats:p>\n                <jats:p><jats:italic>\u2022 A stepwise diagnostic diagram based on the combined use of DCE-MRI parameters and the diffusion coefficient is helpful for accurate preoperative diagnosis in parotid gland tumors and may further facilitate the clinical management of patients.<\/jats:italic><\/jats:p>\n              <\/jats:sec>","DOI":"10.1007\/s00330-021-08312-y","type":"journal-article","created":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T03:26:58Z","timestamp":1634095618000},"page":"2748-2759","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Diffusion kurtosis imaging and dynamic contrast-enhanced MRI for the differentiation of parotid gland tumors"],"prefix":"10.1007","volume":"32","author":[{"given":"Nan","family":"Huang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dejun","family":"She","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhen","family":"Xing","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tanhui","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0051-3143","authenticated-orcid":false,"given":"Dairong","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,10,12]]},"reference":[{"key":"8312_CR1","doi-asserted-by":"publisher","first-page":"102959","DOI":"10.1016\/j.critrevonc.2020.102959","volume":"152","author":"G Gatta","year":"2020","unstructured":"Gatta G, Guzzo M, Locati L, McGurk M, Prott F (2020) Major and minor salivary gland tumours. 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As for the DCE-MRI part, 69 cases (56.1%) overlapped in these two studies. In that study, the temporal resolution, duration of dynamic sequence and diffusion technique, and calculated mode were far different from our present study.","order":7,"name":"Ethics","group":{"name":"EthicsHeading","label":"Study subjects and cohort overlap"}},{"value":"\u2022 Retrospective\u2022 diagnostic or prognostic study\u2022 performed at one institution","order":8,"name":"Ethics","group":{"name":"EthicsHeading","label":"Methodology"}}]}}