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A\u00a0mixed linear model evaluated the predictabilities of microvessel density (MVD), vascular area ratio (VAR), mean vessel size (MVS), vascular endothelial growth factor and receptors (VEGF-A, VEGFR\u20112) and vascular endothelial-protein tyrosine phosphatase (VE-PTP) expression from Tofts model kinetic and model-free curve parameters.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>All kinetic parameters were associated with VEGF\u2011A (all<jats:italic>p<\/jats:italic>\u202f&lt;\u20090.001) expression. K<jats:sup>trans<\/jats:sup>, k<jats:sub>ep<\/jats:sub>and v<jats:sub>e<\/jats:sub>were associated with VAR (<jats:italic>p<\/jats:italic>\u202f=\u20090.006, 0.004 and 0.01, respectively) and MVS (<jats:italic>p<\/jats:italic>\u202f=\u20090.0001, 0.02 and 0.003, respectively) but not MVD (<jats:italic>p<\/jats:italic>\u202f=\u20090.84, 0.74 and 0.73, respectively). Prognostic groups differed in K<jats:sup>trans<\/jats:sup>(<jats:italic>p<\/jats:italic>\u202f=\u20090.007) and v<jats:sub>e<\/jats:sub>(<jats:italic>p<\/jats:italic>\u202f=\u20090.004) values measured in the infiltration zone. Despite significant differences of VAR, MVS, VEGF\u2011A, VEGFR\u20112, and VE-PTP in vital tumor tissue and the infiltration zone (<jats:italic>p<\/jats:italic>\u202f=\u20090.0001 for all), there was no significant difference between kinetic parameters measured in these zones.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>The DCE-MRI kinetic parameters show correlations with microvascular parameters in vital tissue and also reveal blood-brain barrier abnormalities in the infiltration zones adequate to differentiate glioma prognostic groups.<\/jats:p><\/jats:sec>","DOI":"10.1007\/s00062-021-01015-3","type":"journal-article","created":{"date-parts":[[2021,4,26]],"date-time":"2021-04-26T11:03:10Z","timestamp":1619434990000},"page":"1049-1058","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":38,"title":["DCE-MRI in Glioma, Infiltration Zone and Healthy Brain to Assess Angiogenesis: A\u00a0Biopsy Study"],"prefix":"10.1007","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8699-3506","authenticated-orcid":false,"given":"Vera C.","family":"Keil","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gerrit H.","family":"Gielen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bogdan","family":"Pintea","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter","family":"Baumgarten","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Angeliki","family":"Datsi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kanishka","family":"Hittatiya","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthias","family":"Simon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elke","family":"Hattingen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,4,26]]},"reference":[{"key":"1015_CR1","doi-asserted-by":"publisher","DOI":"10.1002\/14651858.CD008218.pub3","author":"M Khasraw","year":"2014","unstructured":"Khasraw M, Ameratunga MS, Grant R, Wheeler H, Pavlakis N. 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