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Quantification of glioblastoma mass effect by lateral ventricle displacement
Mass effect has demonstrated prognostic significance for glioblastoma, but is poorly quantified. Here we define and characterize a novel neuroimaging parameter, lateral ventricle displacement (LVd), which quantifies mass effect in glioblastoma patients. LVd is defined as the magnitude of displacemen...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809591/ https://www.ncbi.nlm.nih.gov/pubmed/29434275 http://dx.doi.org/10.1038/s41598-018-21147-w |
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author | Steed, Tyler C. Treiber, Jeffrey M. Brandel, Michael G. Patel, Kunal S. Dale, Anders M. Carter, Bob S. Chen, Clark C. |
author_facet | Steed, Tyler C. Treiber, Jeffrey M. Brandel, Michael G. Patel, Kunal S. Dale, Anders M. Carter, Bob S. Chen, Clark C. |
author_sort | Steed, Tyler C. |
collection | PubMed |
description | Mass effect has demonstrated prognostic significance for glioblastoma, but is poorly quantified. Here we define and characterize a novel neuroimaging parameter, lateral ventricle displacement (LVd), which quantifies mass effect in glioblastoma patients. LVd is defined as the magnitude of displacement from the center of mass of the lateral ventricle volume in glioblastoma patients relative to that a normal reference brain. Pre-operative MR images from 214 glioblastoma patients from The Cancer Imaging Archive (TCIA) were segmented using iterative probabilistic voxel labeling (IPVL). LVd, contrast enhancing volumes (CEV) and FLAIR hyper-intensity volumes (FHV) were determined. Associations with patient survival and tumor genomics were investigated using data from The Cancer Genome Atlas (TCGA). Glioblastoma patients had significantly higher LVd relative to patients without brain tumors. The variance of LVd was not explained by tumor volume, as defined by CEV or FLAIR. LVd was robustly associated with glioblastoma survival in Cox models which accounted for both age and Karnofsky’s Performance Scale (KPS) (p = 0.006). Glioblastomas with higher LVd demonstrated increased expression of genes associated with tumor proliferation and decreased expression of genes associated with tumor invasion. Our results suggest LVd is a quantitative measure of glioblastoma mass effect and a prognostic imaging biomarker. |
format | Online Article Text |
id | pubmed-5809591 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58095912018-02-15 Quantification of glioblastoma mass effect by lateral ventricle displacement Steed, Tyler C. Treiber, Jeffrey M. Brandel, Michael G. Patel, Kunal S. Dale, Anders M. Carter, Bob S. Chen, Clark C. Sci Rep Article Mass effect has demonstrated prognostic significance for glioblastoma, but is poorly quantified. Here we define and characterize a novel neuroimaging parameter, lateral ventricle displacement (LVd), which quantifies mass effect in glioblastoma patients. LVd is defined as the magnitude of displacement from the center of mass of the lateral ventricle volume in glioblastoma patients relative to that a normal reference brain. Pre-operative MR images from 214 glioblastoma patients from The Cancer Imaging Archive (TCIA) were segmented using iterative probabilistic voxel labeling (IPVL). LVd, contrast enhancing volumes (CEV) and FLAIR hyper-intensity volumes (FHV) were determined. Associations with patient survival and tumor genomics were investigated using data from The Cancer Genome Atlas (TCGA). Glioblastoma patients had significantly higher LVd relative to patients without brain tumors. The variance of LVd was not explained by tumor volume, as defined by CEV or FLAIR. LVd was robustly associated with glioblastoma survival in Cox models which accounted for both age and Karnofsky’s Performance Scale (KPS) (p = 0.006). Glioblastomas with higher LVd demonstrated increased expression of genes associated with tumor proliferation and decreased expression of genes associated with tumor invasion. Our results suggest LVd is a quantitative measure of glioblastoma mass effect and a prognostic imaging biomarker. Nature Publishing Group UK 2018-02-12 /pmc/articles/PMC5809591/ /pubmed/29434275 http://dx.doi.org/10.1038/s41598-018-21147-w Text en © The Author(s) 2018 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 Steed, Tyler C. Treiber, Jeffrey M. Brandel, Michael G. Patel, Kunal S. Dale, Anders M. Carter, Bob S. Chen, Clark C. Quantification of glioblastoma mass effect by lateral ventricle displacement |
title | Quantification of glioblastoma mass effect by lateral ventricle displacement |
title_full | Quantification of glioblastoma mass effect by lateral ventricle displacement |
title_fullStr | Quantification of glioblastoma mass effect by lateral ventricle displacement |
title_full_unstemmed | Quantification of glioblastoma mass effect by lateral ventricle displacement |
title_short | Quantification of glioblastoma mass effect by lateral ventricle displacement |
title_sort | quantification of glioblastoma mass effect by lateral ventricle displacement |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809591/ https://www.ncbi.nlm.nih.gov/pubmed/29434275 http://dx.doi.org/10.1038/s41598-018-21147-w |
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