Literature DB >> 11810674

Assessment of the neovascular permeability in glioma xenografts by dynamic T(1) MRI with Gadomer-17.

Marleen Verhoye1, Boudewijn P J van der Sanden, Paul F J W Rijken, Hans P W Peters, Albert J Van der Kogel, Gilke Pée, Greetje Vanhoutte, Arend Heerschap, Annemie Van der Linden.   

Abstract

The uptake of Gadomer-17, as probed by fast dynamic T(1) measurements, was used to assess the vascular permeability surface-area product per leakage volume of tissue (k(Tofts)) of human glioma xenografts implanted in mice. With this approach we could discriminate between two types of glioma xenograft lines with a known difference in the perfused vascular architecture and degree of hypoxia. The T(1) data were analyzed according to the Tofts-Kermode compartment model. The fast-growing E102 tumor demonstrated a homogeneous distribution of the vascular permeability surface area across the tumor (mean k(Tofts) value = 0.18 +/- 0.05 min(-1)). The slowly growing E106 tumor showed a more heterogeneous pattern. Three perfused tumor areas with differences in vascular permeability surface area could be distinguished: a well-perfused periphery with high k(Tofts) values (0.24 +/- 0.04 min(-1)), perfused capillaries inside the tumor with low k(Tofts) values (0.108 +/- 0.026 min(-1)), and perfused capillaries adjacent to necrotic regions with high k(Tofts) values (0.29 +/- 0.10 min(-1)). On a different series of tumors, the hypoxic fractions were measured, and these were significantly higher in E106 tumors (0.14 +/- 0.05) compared to tumors of the E102 line (0.03 +/- 0.02). Copyright 2002 Wiley-Liss, Inc.

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Year:  2002        PMID: 11810674     DOI: 10.1002/mrm.10072

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  7 in total

1.  Measurement of kinetic parameters in skeletal muscle by magnetic resonance imaging with an intravascular agent.

Authors:  Anthony Z Faranesh; Dara L Kraitchman; Elliot R McVeigh
Journal:  Magn Reson Med       Date:  2006-05       Impact factor: 4.668

2.  Impact of drug size on brain tumor and brain parenchyma delivery after a blood-brain barrier disruption.

Authors:  Marie Blanchette; Luc Tremblay; Martin Lepage; David Fortin
Journal:  J Cereb Blood Flow Metab       Date:  2014-02-12       Impact factor: 6.200

3.  Characterization of tumor microvascular structure and permeability: comparison between magnetic resonance imaging and intravital confocal imaging.

Authors:  Nina Kristine Reitan; Marte Thuen; Pål Erik Goa; Catharina de Lange Davies
Journal:  J Biomed Opt       Date:  2010 May-Jun       Impact factor: 3.170

4.  Magnetic resonance angiography visualization of abnormal tumor vasculature in genetically engineered mice.

Authors:  Lauren M Brubaker; Elizabeth Bullitt; Chaoying Yin; Terry Van Dyke; Weili Lin
Journal:  Cancer Res       Date:  2005-09-15       Impact factor: 12.701

5.  Measurement of rat brain tumor kinetics using an intravascular MR contrast agent and DCE-MRI nested model selection.

Authors:  Wilson B Chwang; Rajan Jain; Hassan Bagher-Ebadian; Siamak P Nejad-Davarani; A S M Iskander; Ashley VanSlooten; Lonni Schultz; Ali S Arbab; James R Ewing
Journal:  J Magn Reson Imaging       Date:  2014-01-13       Impact factor: 4.813

6.  Characterisation of tumour vasculature in mouse brain by USPIO contrast-enhanced MRI.

Authors:  G Gambarota; W Leenders; C Maass; P Wesseling; B van der Kogel; O van Tellingen; A Heerschap
Journal:  Br J Cancer       Date:  2008-05-27       Impact factor: 7.640

Review 7.  Contemporary Mouse Models in Glioma Research.

Authors:  William H Hicks; Cylaina E Bird; Jeffrey I Traylor; Diana D Shi; Tarek Y El Ahmadieh; Timothy E Richardson; Samuel K McBrayer; Kalil G Abdullah
Journal:  Cells       Date:  2021-03-23       Impact factor: 6.600

  7 in total

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