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Diagnostic examination performance by using microvascular leakage, cerebral blood volume, and blood flow derived from 3-T dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging in the differentiation of glioblastoma multiforme and brain metastasis.
MedLine Citation:
PMID:  20625709     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
INTRODUCTION: Conventional magnetic resonance (MR) imaging has limited capacity to differentiate between glioblastoma multiforme (GBM) and metastasis. The purposes of this study were: (1) to compare microvascular leakage (MVL), cerebral blood volume (CBV), and blood flow (CBF) in the distinction of metastasis from GBM using dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging (DSC-MRI), and (2) to estimate the diagnostic accuracy of perfusion and permeability MR imaging.
METHODS: A prospective study of 61 patients (40 GBMs and 21 metastases) was performed at 3 T using DSC-MRI. Normalized rCBV and rCBF from tumoral (rCBVt, rCBFt), peri-enhancing region (rCBVe, rCBFe), and by dividing the value in the tumor by the value in the peri-enhancing region (rCBVt/e, rCBFt/e), as well as MVL were calculated. Hemodynamic and histopathologic variables were analyzed statistically and Spearman/Pearson correlations. Receiver operating characteristic curve analysis was performed for each of the variables.
RESULTS: The rCBVe, rCBFe, and MVL were significantly greater in GBMs compared with those of metastases. The optimal cutoff value for differentiating GBM from metastasis was 0.80 which implies a sensitivity of 95%, a specificity of 92%, a positive predictive value of 86%, and a negative predictive value of 97% for rCBVe ratio. We found a modest correlation between rCBVt and rCBFt ratios.
CONCLUSION: MVL measurements in GBMs are significantly higher than those in metastases. Statistically, both rCBVe, rCBVt/e and rCBFe, rCBFt/e were useful in differentiating between GBMs and metastases, supporting the hypothesis that perfusion MR imaging can detect infiltration of tumor cells in the peri-enhancing region.
Authors:
Andrés Server; Tone E Døli Orheim; Bjørn A Graff; Roger Josefsen; Theresa Kumar; Per H Nakstad
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Publication Detail:
Type:  Journal Article     Date:  2010-07-13
Journal Detail:
Title:  Neuroradiology     Volume:  53     ISSN:  1432-1920     ISO Abbreviation:  Neuroradiology     Publication Date:  2011 May 
Date Detail:
Created Date:  2011-04-15     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  1302751     Medline TA:  Neuroradiology     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  319-30     Citation Subset:  IM    
Affiliation:
Section of Neuroradiology, Department of Radiology and Nuclear Medicine, Oslo University Hospital-Ullevaal, Oslo, Norway, a.s.alonso@medisin.uio.no.
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