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Quantitative Perfusion and Permeability Biomarkers in Brain Cancer from Tomographic CT and MR Images
Dynamic contrast-enhanced perfusion and permeability imaging, using computed tomography and magnetic resonance systems, are important techniques for assessing the vascular supply and hemodynamics of healthy brain parenchyma and tumors. These techniques can measure blood flow, blood volume, and blood...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4933536/ https://www.ncbi.nlm.nih.gov/pubmed/27398030 http://dx.doi.org/10.4137/BIC.S31801 |
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author | Eilaghi, Armin Yeung, Timothy d’Esterre, Christopher Bauman, Glenn Yartsev, Slav Easaw, Jay Fainardi, Enrico Lee, Ting-Yim Frayne, Richard |
author_facet | Eilaghi, Armin Yeung, Timothy d’Esterre, Christopher Bauman, Glenn Yartsev, Slav Easaw, Jay Fainardi, Enrico Lee, Ting-Yim Frayne, Richard |
author_sort | Eilaghi, Armin |
collection | PubMed |
description | Dynamic contrast-enhanced perfusion and permeability imaging, using computed tomography and magnetic resonance systems, are important techniques for assessing the vascular supply and hemodynamics of healthy brain parenchyma and tumors. These techniques can measure blood flow, blood volume, and blood–brain barrier permeability surface area product and, thus, may provide information complementary to clinical and pathological assessments. These have been used as biomarkers to enhance the treatment planning process, to optimize treatment decision-making, and to enable monitoring of the treatment noninvasively. In this review, the principles of magnetic resonance and computed tomography dynamic contrast-enhanced perfusion and permeability imaging are described (with an emphasis on their commonalities), and the potential values of these techniques for differentiating high-grade gliomas from other brain lesions, distinguishing true progression from posttreatment effects, and predicting survival after radiotherapy, chemotherapy, and antiangiogenic treatments are presented. |
format | Online Article Text |
id | pubmed-4933536 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Libertas Academica |
record_format | MEDLINE/PubMed |
spelling | pubmed-49335362016-07-09 Quantitative Perfusion and Permeability Biomarkers in Brain Cancer from Tomographic CT and MR Images Eilaghi, Armin Yeung, Timothy d’Esterre, Christopher Bauman, Glenn Yartsev, Slav Easaw, Jay Fainardi, Enrico Lee, Ting-Yim Frayne, Richard Biomark Cancer Review Dynamic contrast-enhanced perfusion and permeability imaging, using computed tomography and magnetic resonance systems, are important techniques for assessing the vascular supply and hemodynamics of healthy brain parenchyma and tumors. These techniques can measure blood flow, blood volume, and blood–brain barrier permeability surface area product and, thus, may provide information complementary to clinical and pathological assessments. These have been used as biomarkers to enhance the treatment planning process, to optimize treatment decision-making, and to enable monitoring of the treatment noninvasively. In this review, the principles of magnetic resonance and computed tomography dynamic contrast-enhanced perfusion and permeability imaging are described (with an emphasis on their commonalities), and the potential values of these techniques for differentiating high-grade gliomas from other brain lesions, distinguishing true progression from posttreatment effects, and predicting survival after radiotherapy, chemotherapy, and antiangiogenic treatments are presented. Libertas Academica 2016-07-03 /pmc/articles/PMC4933536/ /pubmed/27398030 http://dx.doi.org/10.4137/BIC.S31801 Text en © 2016 the author(s), publisher and licensee Libertas Academica Ltd. This is an open-access article distributed under the terms of the Creative Commons CC-BY-NC 3.0 License. |
spellingShingle | Review Eilaghi, Armin Yeung, Timothy d’Esterre, Christopher Bauman, Glenn Yartsev, Slav Easaw, Jay Fainardi, Enrico Lee, Ting-Yim Frayne, Richard Quantitative Perfusion and Permeability Biomarkers in Brain Cancer from Tomographic CT and MR Images |
title | Quantitative Perfusion and Permeability Biomarkers in Brain Cancer from Tomographic CT and MR Images |
title_full | Quantitative Perfusion and Permeability Biomarkers in Brain Cancer from Tomographic CT and MR Images |
title_fullStr | Quantitative Perfusion and Permeability Biomarkers in Brain Cancer from Tomographic CT and MR Images |
title_full_unstemmed | Quantitative Perfusion and Permeability Biomarkers in Brain Cancer from Tomographic CT and MR Images |
title_short | Quantitative Perfusion and Permeability Biomarkers in Brain Cancer from Tomographic CT and MR Images |
title_sort | quantitative perfusion and permeability biomarkers in brain cancer from tomographic ct and mr images |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4933536/ https://www.ncbi.nlm.nih.gov/pubmed/27398030 http://dx.doi.org/10.4137/BIC.S31801 |
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