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The role of cerebral blood flow gradient in peritumoral edema for differentiation of glioblastomas from solitary metastatic lesions

OBJECTIVE: Differentiation of glioblastomas from solitary brain metastases using conventional MRI remains an important unsolved problem. In this study, we introduced the conception of the cerebral blood flow (CBF) gradient in peritumoral edema—the difference in CBF values from the proximity of the e...

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Autores principales: Lin, Lin, Xue, Yunjing, Duan, Qing, Sun, Bin, Lin, Hailong, Huang, Xinming, Chen, Xiaodan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5356611/
https://www.ncbi.nlm.nih.gov/pubmed/27655705
http://dx.doi.org/10.18632/oncotarget.12053
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author Lin, Lin
Xue, Yunjing
Duan, Qing
Sun, Bin
Lin, Hailong
Huang, Xinming
Chen, Xiaodan
author_facet Lin, Lin
Xue, Yunjing
Duan, Qing
Sun, Bin
Lin, Hailong
Huang, Xinming
Chen, Xiaodan
author_sort Lin, Lin
collection PubMed
description OBJECTIVE: Differentiation of glioblastomas from solitary brain metastases using conventional MRI remains an important unsolved problem. In this study, we introduced the conception of the cerebral blood flow (CBF) gradient in peritumoral edema—the difference in CBF values from the proximity of the enhancing tumor to the normal-appearing white matter, and investigated the contribution of perfusion metrics on the discrimination of glioblastoma from a metastatic lesion. MATERIALS AND METHODS: Fifty-two consecutive patients with glioblastoma or a solitary metastatic lesion underwent three-dimensional arterial spin labeling (3D-ASL) before surgical resection. The CBF values were measured in the peritumoral edema (near: G1; Intermediate: G2; Far: G3). The CBF gradient was calculated as the subtractions CBF(G1) –CBF(G3), CBF(G1) – CBF(G2) and CBF(G2) – CBF(G3). A receiver operating characteristic (ROC) curve analysis was used to seek for the best cutoff value permitting discrimination between these two tumors. RESULTS: The absolute/related CBF values and the CBF gradient in the peritumoral regions of glioblastomas were significantly higher than those in metastases(P < 0.038). ROC curve analysis reveals, a cutoff value of 1.92 ml/100g for the CBF gradient of CBF(G1) –CBF(G3) generated the best combination of sensitivity (92.86%) and specificity (100.00%) for distinguishing between a glioblastoma and metastasis. CONCLUSION: The CBF gradient in peritumoral edema appears to be a more promising ASL perfusion metrics in differentiating high grade glioma from a solitary metastasis.
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spelling pubmed-53566112017-03-24 The role of cerebral blood flow gradient in peritumoral edema for differentiation of glioblastomas from solitary metastatic lesions Lin, Lin Xue, Yunjing Duan, Qing Sun, Bin Lin, Hailong Huang, Xinming Chen, Xiaodan Oncotarget Clinical Research Paper OBJECTIVE: Differentiation of glioblastomas from solitary brain metastases using conventional MRI remains an important unsolved problem. In this study, we introduced the conception of the cerebral blood flow (CBF) gradient in peritumoral edema—the difference in CBF values from the proximity of the enhancing tumor to the normal-appearing white matter, and investigated the contribution of perfusion metrics on the discrimination of glioblastoma from a metastatic lesion. MATERIALS AND METHODS: Fifty-two consecutive patients with glioblastoma or a solitary metastatic lesion underwent three-dimensional arterial spin labeling (3D-ASL) before surgical resection. The CBF values were measured in the peritumoral edema (near: G1; Intermediate: G2; Far: G3). The CBF gradient was calculated as the subtractions CBF(G1) –CBF(G3), CBF(G1) – CBF(G2) and CBF(G2) – CBF(G3). A receiver operating characteristic (ROC) curve analysis was used to seek for the best cutoff value permitting discrimination between these two tumors. RESULTS: The absolute/related CBF values and the CBF gradient in the peritumoral regions of glioblastomas were significantly higher than those in metastases(P < 0.038). ROC curve analysis reveals, a cutoff value of 1.92 ml/100g for the CBF gradient of CBF(G1) –CBF(G3) generated the best combination of sensitivity (92.86%) and specificity (100.00%) for distinguishing between a glioblastoma and metastasis. CONCLUSION: The CBF gradient in peritumoral edema appears to be a more promising ASL perfusion metrics in differentiating high grade glioma from a solitary metastasis. Impact Journals LLC 2016-09-15 /pmc/articles/PMC5356611/ /pubmed/27655705 http://dx.doi.org/10.18632/oncotarget.12053 Text en Copyright: © 2016 Lin et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Clinical Research Paper
Lin, Lin
Xue, Yunjing
Duan, Qing
Sun, Bin
Lin, Hailong
Huang, Xinming
Chen, Xiaodan
The role of cerebral blood flow gradient in peritumoral edema for differentiation of glioblastomas from solitary metastatic lesions
title The role of cerebral blood flow gradient in peritumoral edema for differentiation of glioblastomas from solitary metastatic lesions
title_full The role of cerebral blood flow gradient in peritumoral edema for differentiation of glioblastomas from solitary metastatic lesions
title_fullStr The role of cerebral blood flow gradient in peritumoral edema for differentiation of glioblastomas from solitary metastatic lesions
title_full_unstemmed The role of cerebral blood flow gradient in peritumoral edema for differentiation of glioblastomas from solitary metastatic lesions
title_short The role of cerebral blood flow gradient in peritumoral edema for differentiation of glioblastomas from solitary metastatic lesions
title_sort role of cerebral blood flow gradient in peritumoral edema for differentiation of glioblastomas from solitary metastatic lesions
topic Clinical Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5356611/
https://www.ncbi.nlm.nih.gov/pubmed/27655705
http://dx.doi.org/10.18632/oncotarget.12053
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