Evaluation of rat C6 malignant glioma using spectral computed tomography
To investigate the use of multi-parameter spectral computed tomography (CT) for the evaluation of rat C6 glioma, 15 male Wistar rats were seeded with C6 glioma cells into the right basal ganglia and scanned 12 days later using spectral CT. Brain sections corresponding to scanned regions were immunos...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5525900/ https://www.ncbi.nlm.nih.gov/pubmed/28810555 http://dx.doi.org/10.3892/etm.2017.4613 |
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author | Liu, Jianli Zhou, Junlin Li, Jie Zhang, Lingyan Zhang, Peili Liu, Bin |
author_facet | Liu, Jianli Zhou, Junlin Li, Jie Zhang, Lingyan Zhang, Peili Liu, Bin |
author_sort | Liu, Jianli |
collection | PubMed |
description | To investigate the use of multi-parameter spectral computed tomography (CT) for the evaluation of rat C6 glioma, 15 male Wistar rats were seeded with C6 glioma cells into the right basal ganglia and scanned 12 days later using spectral CT. Brain sections corresponding to scanned regions were immunostained for proliferation marker protein Ki67 (Ki67). Pearson's correlation coefficients between spectral CT parameters and Ki67 expression were determined. Thirteen rats survived 12 days and developed tumors. Optimal contrast-to-noise ratio achieved was 65 keV. Brain regions containing liquefactive necrosis, solid tumor, peripheral tumor and normal tissue differed significantly with regard to the spectral curve slope (0.24±0.46, 1.81±1.09, 0.8±0.43 and 0.11±0.27, respectively; P<0.01), CT value (27.2±4.51, 103.18±35.48, 65.19±13.72 and 38.07±7.36, respectively; P<0.01) and iodine concentration (2.41±3.86, 16.05±9.75, 6.76±3.66 and 1.06±2.35, respectively; P<0.0001). The percentage of Ki67-positive cells correlated with the CT value (r=0.903; P<0.001), spectral curve slope (r=0.821; P<0.001) and iodine concentration (r=0.813; P<0.001). Spectral CT can detect microstructural changes within malignant gliomas and potentially provide important information regarding tumor proliferation and the extent of the invasion. |
format | Online Article Text |
id | pubmed-5525900 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-55259002017-08-11 Evaluation of rat C6 malignant glioma using spectral computed tomography Liu, Jianli Zhou, Junlin Li, Jie Zhang, Lingyan Zhang, Peili Liu, Bin Exp Ther Med Articles To investigate the use of multi-parameter spectral computed tomography (CT) for the evaluation of rat C6 glioma, 15 male Wistar rats were seeded with C6 glioma cells into the right basal ganglia and scanned 12 days later using spectral CT. Brain sections corresponding to scanned regions were immunostained for proliferation marker protein Ki67 (Ki67). Pearson's correlation coefficients between spectral CT parameters and Ki67 expression were determined. Thirteen rats survived 12 days and developed tumors. Optimal contrast-to-noise ratio achieved was 65 keV. Brain regions containing liquefactive necrosis, solid tumor, peripheral tumor and normal tissue differed significantly with regard to the spectral curve slope (0.24±0.46, 1.81±1.09, 0.8±0.43 and 0.11±0.27, respectively; P<0.01), CT value (27.2±4.51, 103.18±35.48, 65.19±13.72 and 38.07±7.36, respectively; P<0.01) and iodine concentration (2.41±3.86, 16.05±9.75, 6.76±3.66 and 1.06±2.35, respectively; P<0.0001). The percentage of Ki67-positive cells correlated with the CT value (r=0.903; P<0.001), spectral curve slope (r=0.821; P<0.001) and iodine concentration (r=0.813; P<0.001). Spectral CT can detect microstructural changes within malignant gliomas and potentially provide important information regarding tumor proliferation and the extent of the invasion. D.A. Spandidos 2017-08 2017-06-15 /pmc/articles/PMC5525900/ /pubmed/28810555 http://dx.doi.org/10.3892/etm.2017.4613 Text en Copyright: © Liu et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Liu, Jianli Zhou, Junlin Li, Jie Zhang, Lingyan Zhang, Peili Liu, Bin Evaluation of rat C6 malignant glioma using spectral computed tomography |
title | Evaluation of rat C6 malignant glioma using spectral computed tomography |
title_full | Evaluation of rat C6 malignant glioma using spectral computed tomography |
title_fullStr | Evaluation of rat C6 malignant glioma using spectral computed tomography |
title_full_unstemmed | Evaluation of rat C6 malignant glioma using spectral computed tomography |
title_short | Evaluation of rat C6 malignant glioma using spectral computed tomography |
title_sort | evaluation of rat c6 malignant glioma using spectral computed tomography |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5525900/ https://www.ncbi.nlm.nih.gov/pubmed/28810555 http://dx.doi.org/10.3892/etm.2017.4613 |
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