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MRI analysis to map interstitial flow in the brain tumor microenvironment

Glioblastoma (GBM), a highly aggressive form of brain tumor, is a disease marked by extensive invasion into the surrounding brain. Interstitial fluid flow (IFF), or the movement of fluid within the spaces between cells, has been linked to increased invasion of GBM cells. Better characterization of I...

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Autores principales: Kingsmore, Kathryn M., Vaccari, Andrea, Abler, Daniel, Cui, Sophia X., Epstein, Frederick H., Rockne, Russell C., Acton, Scott T., Munson, Jennifer M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AIP Publishing LLC 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6238644/
https://www.ncbi.nlm.nih.gov/pubmed/30456343
http://dx.doi.org/10.1063/1.5023503
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author Kingsmore, Kathryn M.
Vaccari, Andrea
Abler, Daniel
Cui, Sophia X.
Epstein, Frederick H.
Rockne, Russell C.
Acton, Scott T.
Munson, Jennifer M.
author_facet Kingsmore, Kathryn M.
Vaccari, Andrea
Abler, Daniel
Cui, Sophia X.
Epstein, Frederick H.
Rockne, Russell C.
Acton, Scott T.
Munson, Jennifer M.
author_sort Kingsmore, Kathryn M.
collection PubMed
description Glioblastoma (GBM), a highly aggressive form of brain tumor, is a disease marked by extensive invasion into the surrounding brain. Interstitial fluid flow (IFF), or the movement of fluid within the spaces between cells, has been linked to increased invasion of GBM cells. Better characterization of IFF could elucidate underlying mechanisms driving this invasion in vivo. Here, we develop a technique to non-invasively measure interstitial flow velocities in the glioma microenvironment of mice using dynamic contrast-enhanced magnetic resonance imaging (MRI), a common clinical technique. Using our in vitro model as a phantom “tumor” system and in silico models of velocity vector fields, we show we can measure average velocities and accurately reconstruct velocity directions. With our combined MR and analysis method, we show that velocity magnitudes are similar across four human GBM cell line xenograft models and the direction of fluid flow is heterogeneous within and around the tumors, and not always in the outward direction. These values were not linked to the tumor size. Finally, we compare our flow velocity magnitudes and the direction of flow to a classical marker of vessel leakage and bulk fluid drainage, Evans blue. With these data, we validate its use as a marker of high and low IFF rates and IFF in the outward direction from the tumor border in implanted glioma models. These methods show, for the first time, the nature of interstitial fluid flow in models of glioma using a technique that is translatable to clinical and preclinical models currently using contrast-enhanced MRI.
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spelling pubmed-62386442019-05-08 MRI analysis to map interstitial flow in the brain tumor microenvironment Kingsmore, Kathryn M. Vaccari, Andrea Abler, Daniel Cui, Sophia X. Epstein, Frederick H. Rockne, Russell C. Acton, Scott T. Munson, Jennifer M. APL Bioeng Special Topic: Bioengineering of Cancer Glioblastoma (GBM), a highly aggressive form of brain tumor, is a disease marked by extensive invasion into the surrounding brain. Interstitial fluid flow (IFF), or the movement of fluid within the spaces between cells, has been linked to increased invasion of GBM cells. Better characterization of IFF could elucidate underlying mechanisms driving this invasion in vivo. Here, we develop a technique to non-invasively measure interstitial flow velocities in the glioma microenvironment of mice using dynamic contrast-enhanced magnetic resonance imaging (MRI), a common clinical technique. Using our in vitro model as a phantom “tumor” system and in silico models of velocity vector fields, we show we can measure average velocities and accurately reconstruct velocity directions. With our combined MR and analysis method, we show that velocity magnitudes are similar across four human GBM cell line xenograft models and the direction of fluid flow is heterogeneous within and around the tumors, and not always in the outward direction. These values were not linked to the tumor size. Finally, we compare our flow velocity magnitudes and the direction of flow to a classical marker of vessel leakage and bulk fluid drainage, Evans blue. With these data, we validate its use as a marker of high and low IFF rates and IFF in the outward direction from the tumor border in implanted glioma models. These methods show, for the first time, the nature of interstitial fluid flow in models of glioma using a technique that is translatable to clinical and preclinical models currently using contrast-enhanced MRI. AIP Publishing LLC 2018-06-26 /pmc/articles/PMC6238644/ /pubmed/30456343 http://dx.doi.org/10.1063/1.5023503 Text en © 2018 Author(s). 2473-2877/2018/2(3)/031905/15 All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Special Topic: Bioengineering of Cancer
Kingsmore, Kathryn M.
Vaccari, Andrea
Abler, Daniel
Cui, Sophia X.
Epstein, Frederick H.
Rockne, Russell C.
Acton, Scott T.
Munson, Jennifer M.
MRI analysis to map interstitial flow in the brain tumor microenvironment
title MRI analysis to map interstitial flow in the brain tumor microenvironment
title_full MRI analysis to map interstitial flow in the brain tumor microenvironment
title_fullStr MRI analysis to map interstitial flow in the brain tumor microenvironment
title_full_unstemmed MRI analysis to map interstitial flow in the brain tumor microenvironment
title_short MRI analysis to map interstitial flow in the brain tumor microenvironment
title_sort mri analysis to map interstitial flow in the brain tumor microenvironment
topic Special Topic: Bioengineering of Cancer
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6238644/
https://www.ncbi.nlm.nih.gov/pubmed/30456343
http://dx.doi.org/10.1063/1.5023503
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