Cargando…

Quantitative analysis of permeability for glioma grading using dynamic contrast-enhanced magnetic resonance imaging

The objective of the present study was to quantitatively analyze the permeability of tumor entity and peritumor edema in glioma grading, using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). In the present retrospective study, 80 patients underwent T1-weighted DCE-MRI examination at...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Ming, Guo, Li-Li, Huang, Ning, Wu, Qiong, Zhou, Li, Zhao, Hui, Zhang, Jing, Fu, Kuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5656018/
https://www.ncbi.nlm.nih.gov/pubmed/29113174
http://dx.doi.org/10.3892/ol.2017.6895
_version_ 1783273645642088448
author Zhao, Ming
Guo, Li-Li
Huang, Ning
Wu, Qiong
Zhou, Li
Zhao, Hui
Zhang, Jing
Fu, Kuang
author_facet Zhao, Ming
Guo, Li-Li
Huang, Ning
Wu, Qiong
Zhou, Li
Zhao, Hui
Zhang, Jing
Fu, Kuang
author_sort Zhao, Ming
collection PubMed
description The objective of the present study was to quantitatively analyze the permeability of tumor entity and peritumor edema in glioma grading, using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). In the present retrospective study, 80 patients underwent T1-weighted DCE-MRI examination at 3.0 T and the pathological results (including astrocytoma and oligodendroglioma) were obtained between January 2012 and June 2015. All cases were surgically validated as grade I–IV gliomas. The original DCE-MRI data were analyzed using dual compartment modified Tofts model. The forward volume transfer constant (K(trans)), backflux rate (k(ep)) and fractional volume (v(e)) were calculated with the region of interest selected on the highest permeability area of the tumor entity and peritumor edema. Analysis of variance with the Bonferroni correction was used to compare the values of K(trans), k(ep), and v(e) of the tumor entity and peritumor edema in different glioma grades. The results of the present study revealed that the K(trans), k(ep), and v(e) values in each stage were associated with the pathological grading (r=0.951, 0.804 and 0.766, respectively). There were significant differences identified between different tumor grades in K(trans), k(ep), with the exception being between grades II and III in k(ep). In addition, there was a significant difference revealed between grade I/II and grade III/IV in v(e). Receiver operator characteristics curve analysis was used to evaluate the diagnosis accuracies of permeability parameters. K(trans) was demonstrated to exhibit the highest sensitivity and specificity for evaluating the tumor grade. With the threshold values of 0.160, 0.420 and 0.935 in K(trans) on tumor, glioma grades I vs. II, II vs III and III vs. IV may be differentiated with sensitivities of 0.900, 0.950 and 0.950, and specificities of 0.950, 0.950 and 0.850, respectively. Furthermore, associations were observed between the K(trans), k(ep) and v(e) values of peritumor edema and the pathological grading in glioma (K(trans) r=0.438, P<0.001; K(ep) r=0.385, P<0.001; V(e) r=0.397, P<0.001, respectively). K(trans) values in peritumoral edema revealed significant differences between low-grade and high-grade glioma. The sensitivity and specificity for K(trans) of peritumor edema were 0.975 and 0.950, with a threshold value of 0.007. Therefore, the DCE-MRI parameters of K(trans) of tumor entity and peritumor edema in gliomas may be used to accurately differentiate glioma grades.
format Online
Article
Text
id pubmed-5656018
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher D.A. Spandidos
record_format MEDLINE/PubMed
spelling pubmed-56560182017-11-06 Quantitative analysis of permeability for glioma grading using dynamic contrast-enhanced magnetic resonance imaging Zhao, Ming Guo, Li-Li Huang, Ning Wu, Qiong Zhou, Li Zhao, Hui Zhang, Jing Fu, Kuang Oncol Lett Articles The objective of the present study was to quantitatively analyze the permeability of tumor entity and peritumor edema in glioma grading, using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). In the present retrospective study, 80 patients underwent T1-weighted DCE-MRI examination at 3.0 T and the pathological results (including astrocytoma and oligodendroglioma) were obtained between January 2012 and June 2015. All cases were surgically validated as grade I–IV gliomas. The original DCE-MRI data were analyzed using dual compartment modified Tofts model. The forward volume transfer constant (K(trans)), backflux rate (k(ep)) and fractional volume (v(e)) were calculated with the region of interest selected on the highest permeability area of the tumor entity and peritumor edema. Analysis of variance with the Bonferroni correction was used to compare the values of K(trans), k(ep), and v(e) of the tumor entity and peritumor edema in different glioma grades. The results of the present study revealed that the K(trans), k(ep), and v(e) values in each stage were associated with the pathological grading (r=0.951, 0.804 and 0.766, respectively). There were significant differences identified between different tumor grades in K(trans), k(ep), with the exception being between grades II and III in k(ep). In addition, there was a significant difference revealed between grade I/II and grade III/IV in v(e). Receiver operator characteristics curve analysis was used to evaluate the diagnosis accuracies of permeability parameters. K(trans) was demonstrated to exhibit the highest sensitivity and specificity for evaluating the tumor grade. With the threshold values of 0.160, 0.420 and 0.935 in K(trans) on tumor, glioma grades I vs. II, II vs III and III vs. IV may be differentiated with sensitivities of 0.900, 0.950 and 0.950, and specificities of 0.950, 0.950 and 0.850, respectively. Furthermore, associations were observed between the K(trans), k(ep) and v(e) values of peritumor edema and the pathological grading in glioma (K(trans) r=0.438, P<0.001; K(ep) r=0.385, P<0.001; V(e) r=0.397, P<0.001, respectively). K(trans) values in peritumoral edema revealed significant differences between low-grade and high-grade glioma. The sensitivity and specificity for K(trans) of peritumor edema were 0.975 and 0.950, with a threshold value of 0.007. Therefore, the DCE-MRI parameters of K(trans) of tumor entity and peritumor edema in gliomas may be used to accurately differentiate glioma grades. D.A. Spandidos 2017-11 2017-09-06 /pmc/articles/PMC5656018/ /pubmed/29113174 http://dx.doi.org/10.3892/ol.2017.6895 Text en Copyright: © Zhao 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
Zhao, Ming
Guo, Li-Li
Huang, Ning
Wu, Qiong
Zhou, Li
Zhao, Hui
Zhang, Jing
Fu, Kuang
Quantitative analysis of permeability for glioma grading using dynamic contrast-enhanced magnetic resonance imaging
title Quantitative analysis of permeability for glioma grading using dynamic contrast-enhanced magnetic resonance imaging
title_full Quantitative analysis of permeability for glioma grading using dynamic contrast-enhanced magnetic resonance imaging
title_fullStr Quantitative analysis of permeability for glioma grading using dynamic contrast-enhanced magnetic resonance imaging
title_full_unstemmed Quantitative analysis of permeability for glioma grading using dynamic contrast-enhanced magnetic resonance imaging
title_short Quantitative analysis of permeability for glioma grading using dynamic contrast-enhanced magnetic resonance imaging
title_sort quantitative analysis of permeability for glioma grading using dynamic contrast-enhanced magnetic resonance imaging
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5656018/
https://www.ncbi.nlm.nih.gov/pubmed/29113174
http://dx.doi.org/10.3892/ol.2017.6895
work_keys_str_mv AT zhaoming quantitativeanalysisofpermeabilityforgliomagradingusingdynamiccontrastenhancedmagneticresonanceimaging
AT guolili quantitativeanalysisofpermeabilityforgliomagradingusingdynamiccontrastenhancedmagneticresonanceimaging
AT huangning quantitativeanalysisofpermeabilityforgliomagradingusingdynamiccontrastenhancedmagneticresonanceimaging
AT wuqiong quantitativeanalysisofpermeabilityforgliomagradingusingdynamiccontrastenhancedmagneticresonanceimaging
AT zhouli quantitativeanalysisofpermeabilityforgliomagradingusingdynamiccontrastenhancedmagneticresonanceimaging
AT zhaohui quantitativeanalysisofpermeabilityforgliomagradingusingdynamiccontrastenhancedmagneticresonanceimaging
AT zhangjing quantitativeanalysisofpermeabilityforgliomagradingusingdynamiccontrastenhancedmagneticresonanceimaging
AT fukuang quantitativeanalysisofpermeabilityforgliomagradingusingdynamiccontrastenhancedmagneticresonanceimaging