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

Glioma: Application of Histogram Analysis of Pharmacokinetic Parameters from T1-Weighted Dynamic Contrast-Enhanced MR Imaging to Tumor Grading

“…8,[10][11][12][13]15,18,28 Using ROC curve analyses, Jia et al 8 showed that K trans and Ve were significantly lower in low-grade gliomas than in high-grade gliomas, with cutoff values of K trans and Ve of 0.035 minutes Ϫ1 and 0.13, respectively. Awasthi et al 10 presented a discriminant function for differentiating low-and high-grade gliomas and a correlation with immunohistochemical markers by using relative CBV, elimination rate of contrast agent or Kep, and Ve derived from DCE MR imaging.…”

“…The ROIs included smaller portions of the tumor margins on each section and were mostly used to show the highest parametric values. 8,10,29 In comparison, we collected and analyzed whole-pixel values from the entire-tumor volume. In addition, we evaluated the parameters on the basis of T2WI or FLAIR, whereas previous studies used contrast-enhanced T1WI.…”

“…5,6 In particular, high-grade gliomas are associated with a higher proportion of immature and hyperpermeable vessels. 7,8 Angiogenesis and the microvascular system of gliomas have recently been the focus of grading before treatment and for evaluating posttherapy status with perfusion MR imaging. With con-trast media, the dynamic change of signal intensity can be measured and converted into an analysis of perfusion changes.…”

“…Cerebral blood volume and cerebral blood flow, vascular permeability, and extravascular extracellular volume have been proposed as representative parameters derived from T1-weighted dynamic contrast-enhanced (DCE) perfusion-weighted imaging in the differentiation of glioma grades. [8][9][10][11][12][13][14][15][16] More recently, many reports based on T1-weighted DCE-PWI MR imaging have introduced volume transfer constant K trans , extravascular extracellular space volume per unit volume of tissue (Ve), and blood plasma volume per unit volume of tissue (Vp) as feasible parameters for glioma grading. 8,10,17,18 K trans and Ve are pharmacokinetic parameters wellknown for reflecting permeability.…”

Prediction of methylguanine methyltransferase promoter methylation in glioblastoma using dynamic contrast-enhanced magnetic resonance and diffusion tensor imaging

“…18 Several studies have shown efficacy of permeability parameters from DCE-MRI in glioma grading. 12,17 However, no study has evaluated the association between permeability parameters and MGMT methylation status in glioblastoma. Therefore, the aim of this study was to identify imaging biomarkers for MGMT methylation using quantitative parameters from DTI and DCE-MRI in addition to conventional imaging features.…”