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Validation of vessel size imaging (VSI) in high-grade human gliomas using magnetic resonance imaging, image-guided biopsies, and quantitative immunohistochemistry
To evaluate the association between a vessel size index (VSI(MRI)) derived from dynamic susceptibility contrast (DSC) perfusion imaging using a custom spin-and-gradient echo echoplanar imaging (SAGE-EPI) sequence and quantitative estimates of vessel morphometry based on immunohistochemistry from ima...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6391482/ https://www.ncbi.nlm.nih.gov/pubmed/30808879 http://dx.doi.org/10.1038/s41598-018-37564-w |
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author | Chakhoyan, Ararat Yao, Jingwen Leu, Kevin Pope, Whitney B. Salamon, Noriko Yong, William Lai, Albert Nghiemphu, Phioanh L. Everson, Richard G. Prins, Robert M. Liau, Linda M. Nathanson, David A. Cloughesy, Timothy F. Ellingson, Benjamin M. |
author_facet | Chakhoyan, Ararat Yao, Jingwen Leu, Kevin Pope, Whitney B. Salamon, Noriko Yong, William Lai, Albert Nghiemphu, Phioanh L. Everson, Richard G. Prins, Robert M. Liau, Linda M. Nathanson, David A. Cloughesy, Timothy F. Ellingson, Benjamin M. |
author_sort | Chakhoyan, Ararat |
collection | PubMed |
description | To evaluate the association between a vessel size index (VSI(MRI)) derived from dynamic susceptibility contrast (DSC) perfusion imaging using a custom spin-and-gradient echo echoplanar imaging (SAGE-EPI) sequence and quantitative estimates of vessel morphometry based on immunohistochemistry from image-guided biopsy samples. The current study evaluated both relative cerebral blood volume (rCBV) and VSI(MRI) in eleven patients with high-grade glioma (7 WHO grade III and 4 WHO grade IV). Following 26 MRI-guided glioma biopsies in these 11 patients, we evaluated tissue morphometry, including vessel density and average radius, using an automated procedure based on the endothelial cell marker CD31 to highlight tumor vasculature. Measures of rCBV and VSI(MRI) were then compared to histological measures. We demonstrate good agreement between VSI measured by MRI and histology; VSI(MRI) = 13.67 μm and VSI(Histology) = 12.60 μm, with slight overestimation of VSI(MRI) in grade III patients compared to histology. rCBV showed a moderate but significant correlation with vessel density (r = 0.42, p = 0.03), and a correlation was also observed between VSI(MRI) and VSI(Histology) (r = 0.49, p = 0.01). The current study supports the hypothesis that vessel size measures using MRI accurately reflect vessel caliber within high-grade gliomas, while traditional measures of rCBV are correlated with vessel density and not vessel caliber. |
format | Online Article Text |
id | pubmed-6391482 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-63914822019-03-01 Validation of vessel size imaging (VSI) in high-grade human gliomas using magnetic resonance imaging, image-guided biopsies, and quantitative immunohistochemistry Chakhoyan, Ararat Yao, Jingwen Leu, Kevin Pope, Whitney B. Salamon, Noriko Yong, William Lai, Albert Nghiemphu, Phioanh L. Everson, Richard G. Prins, Robert M. Liau, Linda M. Nathanson, David A. Cloughesy, Timothy F. Ellingson, Benjamin M. Sci Rep Article To evaluate the association between a vessel size index (VSI(MRI)) derived from dynamic susceptibility contrast (DSC) perfusion imaging using a custom spin-and-gradient echo echoplanar imaging (SAGE-EPI) sequence and quantitative estimates of vessel morphometry based on immunohistochemistry from image-guided biopsy samples. The current study evaluated both relative cerebral blood volume (rCBV) and VSI(MRI) in eleven patients with high-grade glioma (7 WHO grade III and 4 WHO grade IV). Following 26 MRI-guided glioma biopsies in these 11 patients, we evaluated tissue morphometry, including vessel density and average radius, using an automated procedure based on the endothelial cell marker CD31 to highlight tumor vasculature. Measures of rCBV and VSI(MRI) were then compared to histological measures. We demonstrate good agreement between VSI measured by MRI and histology; VSI(MRI) = 13.67 μm and VSI(Histology) = 12.60 μm, with slight overestimation of VSI(MRI) in grade III patients compared to histology. rCBV showed a moderate but significant correlation with vessel density (r = 0.42, p = 0.03), and a correlation was also observed between VSI(MRI) and VSI(Histology) (r = 0.49, p = 0.01). The current study supports the hypothesis that vessel size measures using MRI accurately reflect vessel caliber within high-grade gliomas, while traditional measures of rCBV are correlated with vessel density and not vessel caliber. Nature Publishing Group UK 2019-02-26 /pmc/articles/PMC6391482/ /pubmed/30808879 http://dx.doi.org/10.1038/s41598-018-37564-w Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Chakhoyan, Ararat Yao, Jingwen Leu, Kevin Pope, Whitney B. Salamon, Noriko Yong, William Lai, Albert Nghiemphu, Phioanh L. Everson, Richard G. Prins, Robert M. Liau, Linda M. Nathanson, David A. Cloughesy, Timothy F. Ellingson, Benjamin M. Validation of vessel size imaging (VSI) in high-grade human gliomas using magnetic resonance imaging, image-guided biopsies, and quantitative immunohistochemistry |
title | Validation of vessel size imaging (VSI) in high-grade human gliomas using magnetic resonance imaging, image-guided biopsies, and quantitative immunohistochemistry |
title_full | Validation of vessel size imaging (VSI) in high-grade human gliomas using magnetic resonance imaging, image-guided biopsies, and quantitative immunohistochemistry |
title_fullStr | Validation of vessel size imaging (VSI) in high-grade human gliomas using magnetic resonance imaging, image-guided biopsies, and quantitative immunohistochemistry |
title_full_unstemmed | Validation of vessel size imaging (VSI) in high-grade human gliomas using magnetic resonance imaging, image-guided biopsies, and quantitative immunohistochemistry |
title_short | Validation of vessel size imaging (VSI) in high-grade human gliomas using magnetic resonance imaging, image-guided biopsies, and quantitative immunohistochemistry |
title_sort | validation of vessel size imaging (vsi) in high-grade human gliomas using magnetic resonance imaging, image-guided biopsies, and quantitative immunohistochemistry |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6391482/ https://www.ncbi.nlm.nih.gov/pubmed/30808879 http://dx.doi.org/10.1038/s41598-018-37564-w |
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