• Title of article

    Improved T1-weighted dynamic contrast-enhanced MRI to probe microvascularity and heterogeneity of human glioma

  • Author/Authors

    Pauliah، نويسنده , , Mohan and Saxena، نويسنده , , Vipin and Haris، نويسنده , , Mohammad and Husain، نويسنده , , Nuzhat and Rathore، نويسنده , , Ram Kishore S. and Gupta، نويسنده , , Rakesh K.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2007
  • Pages
    8
  • From page
    1292
  • To page
    1299
  • Abstract
    Dynamic contrast-enhanced (DCE) T1-weighted magnetic resonance imaging (MRI) is a powerful tool capable of providing quantitative assessment of contrast uptake and characterization of microvascular structure in human gliomas. The kinetics of the bolus injection doped with increasing concentrations of gadopentate dimeglumine (Gd-DTPA) depends on tissue as well as pulse sequence parameters. A simple method is described that overcomes the limitation of relative signal increase measurement and may lead to improved accuracy in quantification of perfusion indices of glioma. Based on an analysis of the contrast behavior of spoiled gradient-recalled echo sequence; a parameter K with arbitrary unit 5.0 is introduced, which provides a better approximation to the differential T1 relaxation rate. I measurements of relative cerebral blood volume (rCBV) and cerebral blood flow (rCBF) were calculated in 25 patients with brain tumors (15=high-grade glioma, 10=low-grade glioma). The mean rCBV was 6.46±2.45 in high-grade glioma and 2.89±1.47 in the low-grade glioma. The rCBF was 3.94±1.47 in high-grade glioma while 2.25±0.87 in low-grade glioma. A significant difference in rCBF and rCBV was found between high- and low-grade gliomas. This simple and robust technique reveals the complexity of tumor vasculature and heterogeneity that may aid in therapeutic management especially in nonenhancing high-grade gliomas. We conclude that the precontrast medium steady-state residue parameter K may be useful in improved quantification of perfusion indices in human glioma using T1-weighted DCE-MRI.
  • Keywords
    Tumor heterogeneity , Relative cerebral blood volume , Dynamic contrast enhancement , algorithm , T1-weighted imaging
  • Journal title
    Magnetic Resonance Imaging
  • Serial Year
    2007
  • Journal title
    Magnetic Resonance Imaging
  • Record number

    1832609