Literature DB >> 21386855

Vascular phenotyping of brain tumors using magnetic resonance microscopy (μMRI).

Eugene Kim1, Jiangyang Zhang, Karen Hong, Nicole E Benoit, Arvind P Pathak.   

Abstract

Abnormal vascular phenotypes have been implicated in neuropathologies ranging from Alzheimer's disease to brain tumors. The development of transgenic mouse models of such diseases has created a crucial need for characterizing the murine neurovasculature. Although histologic techniques are excellent for imaging the microvasculature at submicron resolutions, they offer only limited coverage. It is also challenging to reconstruct the three-dimensional (3D) vasculature and other structures, such as white matter tracts, after tissue sectioning. Here, we describe a novel method for 3D whole-brain mapping of the murine vasculature using magnetic resonance microscopy (μMRI), and its application to a preclinical brain tumor model. The 3D vascular architecture was characterized by six morphologic parameters: vessel length, vessel radius, microvessel density, length per unit volume, fractional blood volume, and tortuosity. Region-of-interest analysis showed significant differences in the vascular phenotype between the tumor and the contralateral brain, as well as between postinoculation day 12 and day 17 tumors. These results unequivocally show the feasibility of using μMRI to characterize the vascular phenotype of brain tumors. Finally, we show that combining these vascular data with coregistered images acquired with diffusion-weighted MRI provides a new tool for investigating the relationship between angiogenesis and concomitant changes in the brain tumor microenvironment.

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Year:  2011        PMID: 21386855      PMCID: PMC3137465          DOI: 10.1038/jcbfm.2011.17

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  40 in total

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3.  A novel technique for modeling susceptibility-based contrast mechanisms for arbitrary microvascular geometries: the finite perturber method.

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4.  Characterization of angiogenesis and microcirculation of high-grade glioma: an intravital multifluorescence microscopic approach in the athymic nude mouse.

Authors:  P Vajkoczy; L Schilling; A Ullrich; P Schmiedek; M D Menger
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Review 5.  Histology by magnetic resonance microscopy.

Authors:  G A Johnson; H Benveniste; R D Black; L W Hedlund; R R Maronpot; B R Smith
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6.  Intravoxel distribution of DWI decay rates reveals C6 glioma invasion in rat brain.

Authors:  Kevin M Bennett; James S Hyde; Scott D Rand; Raoqiong Bennett; Hendrikus G J Krouwer; Kelly J Rebro; Kathleen M Schmainda
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7.  Morphologic phenotyping with MR microscopy: the visible mouse.

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9.  Steady-state blood volume measurements in experimental tumors with different angiogenic burdens a study in mice.

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10.  Three-dimensional microscopy of the tumor microenvironment in vivo using optical frequency domain imaging.

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  15 in total

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Review 2.  Common mechanisms of Alzheimer's disease and ischemic stroke: the role of protein kinase C in the progression of age-related neurodegeneration.

Authors:  Brandon P Lucke-Wold; Ryan C Turner; Aric F Logsdon; James W Simpkins; Daniel L Alkon; Kelly E Smith; Yi-Wen Chen; Zhenjun Tan; Jason D Huber; Charles L Rosen
Journal:  J Alzheimers Dis       Date:  2015       Impact factor: 4.472

3.  Multiscale and multi-modality visualization of angiogenesis in a human breast cancer model.

Authors:  Jana Cebulla; Eugene Kim; Kevin Rhie; Jiangyang Zhang; Arvind P Pathak
Journal:  Angiogenesis       Date:  2014-04-10       Impact factor: 9.596

4.  Summary of Imaging in 2020: Visualizing the Future of Healthcare with MR Imaging.

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Journal:  Mol Imaging Biol       Date:  2019-04       Impact factor: 3.488

5.  A bioimage informatics based reconstruction of breast tumor microvasculature with computational blood flow predictions.

Authors:  Spyros K Stamatelos; Eugene Kim; Arvind P Pathak; Aleksander S Popel
Journal:  Microvasc Res       Date:  2013-12-14       Impact factor: 3.514

6.  Spin-lock imaging of intrinsic susceptibility gradients in tumors.

Authors:  Zhongliang Zu; Vaibhav Janve; John C Gore
Journal:  Magn Reson Med       Date:  2019-12-27       Impact factor: 4.668

7.  MicroCT angiography detects vascular formation and regression in skin wound healing.

Authors:  Norifumi Urao; Uzoagu A Okonkwo; Milie M Fang; Zhen W Zhuang; Timothy J Koh; Luisa A DiPietro
Journal:  Microvasc Res       Date:  2016-03-21       Impact factor: 3.514

8.  Three-dimensional imaging of the mouse neurovasculature with magnetic resonance microscopy.

Authors:  Arvind P Pathak; Eugene Kim; Jiangyang Zhang; Melina V Jones
Journal:  PLoS One       Date:  2011-07-27       Impact factor: 3.240

9.  Magnetic resonance microscopy at 14 Tesla and correlative histopathology of human brain tumor tissue.

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10.  MRI reveals the in vivo cellular and vascular response to BEZ235 in ovarian cancer xenografts with different PI3-kinase pathway activity.

Authors:  J Cebulla; E M Huuse; K Pettersen; A van der Veen; E Kim; S Andersen; W S Prestvik; A M Bofin; A P Pathak; G Bjørkøy; T F Bathen; S A Moestue
Journal:  Br J Cancer       Date:  2014-12-23       Impact factor: 7.640

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