Measurements of diagnostic examination performance and correlation analysis using microvascular leakage, cerebral blood volume, and blood flow derived from 3T dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging in glial tumor grading

Server, Andrés; Graff, Bjørn A.; Orheim, Tone E. Døli; Schellhorn, Till; Josefsen, Roger; Gadmar, Øystein B.; Nakstad, P

doi:10.1007/s00234-010-0770-x

Cited by 35 publications

(19 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The K trans value has been used to assess the biological characteristics of the microvasculature of various brain tumours. [4][5][6] This study was designed to quantitatively analyse the neovascular permeability of glioma with DCE-MRI.…”

Section: Introductionmentioning

confidence: 99%

Quantitative analysis of neovascular permeability in glioma by dynamic contrast-enhanced MR imaging

Jia

Geng

Xie

et al. 2012

Journal of Clinical Neuroscience

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Quantitative analysis of neovascular permeability in glioma by dynamic contrast-enhanced MR imaging

Jia

Geng

Xie

et al. 2012

Journal of Clinical Neuroscience

View full text Add to dashboard Cite

“…15 The K 2 , on the other hand, was able to demonstrate the differences in vascular permeability among gliomas of different histologic grades. 16 PCNSLs are also known to have increased vascular permeability. [17][18][19] Their low CBV and the characteristic intensity-time curve that went above the baseline were thought to be related to high vascular permeability.…”

mentioning

confidence: 99%

Differentiation of Primary Central Nervous System Lymphomas and Glioblastomas: Comparisons of Diagnostic Performance of Dynamic Susceptibility Contrast-Enhanced Perfusion MR Imaging without and with Contrast-Leakage Correction

Toh¹,

Wei

Chang

et al. 2013

AJNR Am J Neuroradiol

102

View full text Add to dashboard Cite

show abstract

“…Other advanced imaging techniques have been used to evaluate tumor cell infiltration in the peritumoral region of GBMs such as perfusion (25) and spectroscopy (26). To the best of our knowledge, this is the first study using only texture analysis to evaluate the heterogeneity in the peritumoral edema to differentiate GBM from MET on DTI.…”

Section: Discussionmentioning

confidence: 99%

Texture analysis on diffusion tensor imaging: discriminating glioblastoma from single brain metastasis

et al. 2018

View full text Add to dashboard Cite

Background: Texture analysis has been done on several radiological modalities to stage, differentiate and predict prognosis in many oncologic tumors. Purpose:To determine the diagnostic accuracy of discriminating glioblastoma (GBM) from single brain metastasis (MET) by assessing the heterogeneity of both the solid tumor and the peritumoral edema with MRI texture analysis (MRTA). Material and Methods:Preoperative MRI examinations done on a 3T scanner of 43 patients were included, 22 GBM and 21 MET. MRTA was performed on the DTI in a representative region of interest (ROI). The MRTA was assessed using a commercially available research software program (TexRAD) which applies a filtration histogram technique for characterising tumor and peritumoral heterogeneity. The filtration step selectively filters and extracts texture features at different anatomical scales varying from 2mm (fine) to 6mm (coarse).Heterogeneity quantification was obtained by the statistical parameter entropy. A threshold value to differentiate GBM from MET with sensitivity and specificity was calculated by receiver operating characteristics (ROC) analysis.Results: Quantifying the heterogeneity of the solid part of the tumor showed no significant difference between GBM and MET. However the heterogeneity of the GBMs peritumoral edema was significantly higher than the edema surrounding MET, differentiating them with a sensitivity of 80% and specificity of 90%. Conclusion:Assessing the peritumoral heterogeneity can increase the radiological diagnostic accuracy when discriminating GBM and MET. This will facilitate the medical staging and optimize the planning for surgical resection of the tumor and postoperative management.3 Keywords Glioblastoma, brain metastases, peritumoral edema, diffusion tensor imaging, texture analysis, magnetic resonance imaging

show abstract

Measurements of diagnostic examination performance and correlation analysis using microvascular leakage, cerebral blood volume, and blood flow derived from 3T dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging in glial tumor grading

Abstract: Both rCBVt and MVL(max) showed good discriminative power in distinguishing all tumor grades. rCBVt correlated strongly with tumor grade; the correlation between MVL(max) and tumor grade was moderate.

Cited by 35 publications

References 40 publications

Quantitative analysis of neovascular permeability in glioma by dynamic contrast-enhanced MR imaging

Quantitative analysis of neovascular permeability in glioma by dynamic contrast-enhanced MR imaging

Differentiation of Primary Central Nervous System Lymphomas and Glioblastomas: Comparisons of Diagnostic Performance of Dynamic Susceptibility Contrast-Enhanced Perfusion MR Imaging without and with Contrast-Leakage Correction

Texture analysis on diffusion tensor imaging: discriminating glioblastoma from single brain metastasis

Contact Info

Product

Resources

About