{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T04:22:53Z","timestamp":1745468573390,"version":"3.40.4"},"reference-count":29,"publisher":"S. Karger AG","issue":"5","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.karger.com\/Services\/SiteLicenses"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.karger.com\/Services\/SiteLicenses"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Eur Neurol"],"published-print":{"date-parts":[[2021]]},"abstract":"<jats:p>&lt;b&gt;&lt;i&gt;Introduction:&lt;\/i&gt;&lt;\/b&gt; This study aims to analyze the permeability of intra- and peri-meningiomas regions and compare the microvascular permeability between peritumoral brain edema (PTBE) and non-PTBE using DCE-MRI. &lt;b&gt;&lt;i&gt;Methods:&lt;\/i&gt;&lt;\/b&gt; This was a retrospective of patients with meningioma who underwent surgery. The patients were grouped as PTBE and non-PTBE. The DCE-MRI quantitative parameters, including volume transfer constant (&lt;i&gt;K&lt;\/i&gt;&lt;sup&gt;trans&lt;\/sup&gt;), rate constant (&lt;i&gt;K&lt;\/i&gt;&lt;sub&gt;ep&lt;\/sub&gt;), extracellular volume (&lt;i&gt;V&lt;\/i&gt;&lt;sub&gt;e&lt;\/sub&gt;), and mean plasma volume (&lt;i&gt;V&lt;\/i&gt;&lt;sub&gt;p&lt;\/sub&gt;), obtained using the extended Tofts-Kety 2-compartment model. Logistic regression analysis was conducted to explore the risk factor of PTBE. &lt;b&gt;&lt;i&gt;Results:&lt;\/i&gt;&lt;\/b&gt; Sixty-three patients, diagnosed as fibrous meningioma, were included in this study. They were 17 males and 46 females, aged from 32 to 88 years old. &lt;i&gt;K&lt;\/i&gt;&lt;sub&gt;ep&lt;\/sub&gt; and &lt;i&gt;V&lt;\/i&gt;&lt;sub&gt;p&lt;\/sub&gt; were significantly lower in patients with PTBE compared with those without (&lt;i&gt;K&lt;\/i&gt;&lt;sub&gt;ep&lt;\/sub&gt;: 0.1852 \u00b1 0.0369 vs. 0.5087 \u00b1 0.1590, &lt;i&gt;p&lt;\/i&gt; = 0.010; &lt;i&gt;V&lt;\/i&gt;&lt;sub&gt;p&lt;\/sub&gt;: 0.0090 \u00b1 0.0020 vs. 0.0521 \u00b1 0.0262, &lt;i&gt;p&lt;\/i&gt; = 0.007), while there were no differences regarding &lt;i&gt;K&lt;\/i&gt;&lt;sup&gt;trans&lt;\/sup&gt; and &lt;i&gt;V&lt;\/i&gt;&lt;sub&gt;e&lt;\/sub&gt; (both &lt;i&gt;p&lt;\/i&gt; &amp;#x3e; 0.05). The multivariable analysis showed that tumor size \u226510 cm&lt;sup&gt;3&lt;\/sup&gt; (OR = 4.457, 95% CI: 1.322\u201315.031, &lt;i&gt;p&lt;\/i&gt; = 0.016) and &lt;i&gt;V&lt;\/i&gt;&lt;sub&gt;p&lt;\/sub&gt; (OR = 0.572, 95%CI: 0.333\u20130.981, &lt;i&gt;p&lt;\/i&gt; = 0.044) were independently associated with PTBE in patients with meningiomas. &lt;b&gt;&lt;i&gt;Conclusion:&lt;\/i&gt;&lt;\/b&gt; DCE-magnetic resonance imaging\u00b7Meningioma\u00b7Blood vessel MRI can be used to quantify the microvascular permeability of PTBE in patients with meningioma. <\/jats:p>","DOI":"10.1159\/000516921","type":"journal-article","created":{"date-parts":[[2021,7,27]],"date-time":"2021-07-27T21:00:40Z","timestamp":1627419640000},"page":"361-367","source":"Crossref","is-referenced-by-count":1,"title":["Quantitative Dynamic Contrast-Enhanced Magnetic Resonance Imaging for the Analysis of Microvascular Permeability in Peritumor Brain Edema of Fibrous 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