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Cerebral Blood Volume Calculated by Dynamic Susceptibility Contrast-Enhanced Perfusion MR Imaging: Preliminary Correlation Study with Glioblastoma Genetic Profiles

PURPOSE: To evaluate the usefulness of dynamic susceptibility contrast (DSC) enhanced perfusion MR imaging in predicting major genetic alterations in glioblastomas. MATERIALS AND METHODS: Twenty-five patients (M:F = 13∶12, mean age: 52.1±15.2 years) with pathologically proven glioblastoma who underw...

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Autores principales: Ryoo, Inseon, Choi, Seung Hong, Kim, Ji-Hoon, Sohn, Chul-Ho, Kim, Soo Chin, Shin, Hwa Seon, Yeom, Jeong A., Jung, Seung Chai, Lee, A. Leum, Yun, Tae Jin, Park, Chul-Kee, Park, Sung-Hye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3747204/
https://www.ncbi.nlm.nih.gov/pubmed/23977117
http://dx.doi.org/10.1371/journal.pone.0071704
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author Ryoo, Inseon
Choi, Seung Hong
Kim, Ji-Hoon
Sohn, Chul-Ho
Kim, Soo Chin
Shin, Hwa Seon
Yeom, Jeong A.
Jung, Seung Chai
Lee, A. Leum
Yun, Tae Jin
Park, Chul-Kee
Park, Sung-Hye
author_facet Ryoo, Inseon
Choi, Seung Hong
Kim, Ji-Hoon
Sohn, Chul-Ho
Kim, Soo Chin
Shin, Hwa Seon
Yeom, Jeong A.
Jung, Seung Chai
Lee, A. Leum
Yun, Tae Jin
Park, Chul-Kee
Park, Sung-Hye
author_sort Ryoo, Inseon
collection PubMed
description PURPOSE: To evaluate the usefulness of dynamic susceptibility contrast (DSC) enhanced perfusion MR imaging in predicting major genetic alterations in glioblastomas. MATERIALS AND METHODS: Twenty-five patients (M:F = 13∶12, mean age: 52.1±15.2 years) with pathologically proven glioblastoma who underwent DSC MR imaging before surgery were included. On DSC MR imaging, the normalized relative tumor blood volume (nTBV) of the enhancing solid portion of each tumor was calculated by using dedicated software (Nordic TumorEX, NordicNeuroLab, Bergen, Norway) that enabled semi-automatic segmentation for each tumor. Five major glioblastoma genetic alterations (epidermal growth factor receptor (EGFR), phosphatase and tensin homologue (PTEN), Ki-67, O6-methylguanine-DNA methyltransferase (MGMT) and p53) were confirmed by immunohistochemistry and analyzed for correlation with the nTBV of each tumor. Statistical analysis was performed using the unpaired Student t test, ROC (receiver operating characteristic) curve analysis and Pearson correlation analysis. RESULTS: The nTBVs of the MGMT methylation-negative group (mean 9.5±7.5) were significantly higher than those of the MGMT methylation-positive group (mean 5.4±1.8) (p = .046). In the analysis of EGFR expression-positive group, the nTBVs of the subgroup with loss of PTEN gene expression (mean: 10.3±8.1) were also significantly higher than those of the subgroup without loss of PTEN gene expression (mean: 5.6±2.3) (p = .046). Ki-67 labeling index indicated significant positive correlation with the nTBV of the tumor (p = .01). CONCLUSION: We found that glioblastomas with aggressive genetic alterations tended to have a high nTBV in the present study. Thus, we believe that DSC-enhanced perfusion MR imaging could be helpful in predicting genetic alterations that are crucial in predicting the prognosis of and selecting tailored treatment for glioblastoma patients.
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spelling pubmed-37472042013-08-23 Cerebral Blood Volume Calculated by Dynamic Susceptibility Contrast-Enhanced Perfusion MR Imaging: Preliminary Correlation Study with Glioblastoma Genetic Profiles Ryoo, Inseon Choi, Seung Hong Kim, Ji-Hoon Sohn, Chul-Ho Kim, Soo Chin Shin, Hwa Seon Yeom, Jeong A. Jung, Seung Chai Lee, A. Leum Yun, Tae Jin Park, Chul-Kee Park, Sung-Hye PLoS One Research Article PURPOSE: To evaluate the usefulness of dynamic susceptibility contrast (DSC) enhanced perfusion MR imaging in predicting major genetic alterations in glioblastomas. MATERIALS AND METHODS: Twenty-five patients (M:F = 13∶12, mean age: 52.1±15.2 years) with pathologically proven glioblastoma who underwent DSC MR imaging before surgery were included. On DSC MR imaging, the normalized relative tumor blood volume (nTBV) of the enhancing solid portion of each tumor was calculated by using dedicated software (Nordic TumorEX, NordicNeuroLab, Bergen, Norway) that enabled semi-automatic segmentation for each tumor. Five major glioblastoma genetic alterations (epidermal growth factor receptor (EGFR), phosphatase and tensin homologue (PTEN), Ki-67, O6-methylguanine-DNA methyltransferase (MGMT) and p53) were confirmed by immunohistochemistry and analyzed for correlation with the nTBV of each tumor. Statistical analysis was performed using the unpaired Student t test, ROC (receiver operating characteristic) curve analysis and Pearson correlation analysis. RESULTS: The nTBVs of the MGMT methylation-negative group (mean 9.5±7.5) were significantly higher than those of the MGMT methylation-positive group (mean 5.4±1.8) (p = .046). In the analysis of EGFR expression-positive group, the nTBVs of the subgroup with loss of PTEN gene expression (mean: 10.3±8.1) were also significantly higher than those of the subgroup without loss of PTEN gene expression (mean: 5.6±2.3) (p = .046). Ki-67 labeling index indicated significant positive correlation with the nTBV of the tumor (p = .01). CONCLUSION: We found that glioblastomas with aggressive genetic alterations tended to have a high nTBV in the present study. Thus, we believe that DSC-enhanced perfusion MR imaging could be helpful in predicting genetic alterations that are crucial in predicting the prognosis of and selecting tailored treatment for glioblastoma patients. Public Library of Science 2013-08-19 /pmc/articles/PMC3747204/ /pubmed/23977117 http://dx.doi.org/10.1371/journal.pone.0071704 Text en © 2013 Ryoo et al http://creativecommons.org/licenses/by/4.0/ 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 properly credited.
spellingShingle Research Article
Ryoo, Inseon
Choi, Seung Hong
Kim, Ji-Hoon
Sohn, Chul-Ho
Kim, Soo Chin
Shin, Hwa Seon
Yeom, Jeong A.
Jung, Seung Chai
Lee, A. Leum
Yun, Tae Jin
Park, Chul-Kee
Park, Sung-Hye
Cerebral Blood Volume Calculated by Dynamic Susceptibility Contrast-Enhanced Perfusion MR Imaging: Preliminary Correlation Study with Glioblastoma Genetic Profiles
title Cerebral Blood Volume Calculated by Dynamic Susceptibility Contrast-Enhanced Perfusion MR Imaging: Preliminary Correlation Study with Glioblastoma Genetic Profiles
title_full Cerebral Blood Volume Calculated by Dynamic Susceptibility Contrast-Enhanced Perfusion MR Imaging: Preliminary Correlation Study with Glioblastoma Genetic Profiles
title_fullStr Cerebral Blood Volume Calculated by Dynamic Susceptibility Contrast-Enhanced Perfusion MR Imaging: Preliminary Correlation Study with Glioblastoma Genetic Profiles
title_full_unstemmed Cerebral Blood Volume Calculated by Dynamic Susceptibility Contrast-Enhanced Perfusion MR Imaging: Preliminary Correlation Study with Glioblastoma Genetic Profiles
title_short Cerebral Blood Volume Calculated by Dynamic Susceptibility Contrast-Enhanced Perfusion MR Imaging: Preliminary Correlation Study with Glioblastoma Genetic Profiles
title_sort cerebral blood volume calculated by dynamic susceptibility contrast-enhanced perfusion mr imaging: preliminary correlation study with glioblastoma genetic profiles
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3747204/
https://www.ncbi.nlm.nih.gov/pubmed/23977117
http://dx.doi.org/10.1371/journal.pone.0071704
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