• Title of article

    On the relationship between the apparent diffusion coefficient and extravascular extracellular volume fraction in human breast cancer

  • Author/Authors

    Arlinghaus، نويسنده , , Lori R. and Li، نويسنده , , Xia and Rahman، نويسنده , , A. Ridwan and Welch، نويسنده , , E. Brian and Xu، نويسنده , , Lei and Gore، نويسنده , , John C. and Yankeelov، نويسنده , , Thomas E.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2011
  • Pages
    9
  • From page
    630
  • To page
    638
  • Abstract
    MRI techniques have been developed that can noninvasively probe the apparent diffusion coefficient (ADC) of water via diffusion-weighted MRI (DW-MRI). These methods have found much application in cancer where it is often found that the ADC within tumors is inversely correlated with tumor cell density, so that an increase in ADC in response to therapy can be interpreted as an imaging biomarker of positive treatment response. Dynamic contrast enhanced MRI (DCE-MRI) methods have also been developed and can noninvasively report on the extravascular extracellular volume fraction of tissues (denoted by ve). By conventional reasoning, the ADC should therefore also be directly proportional to ve. Here we report measurements of both ADC and ve obtained from breast cancer patients at both 1.5 and 3.0 T. The 1.5-T data were acquired as part of normal standard of care, while the 3.0-T data were obtained from a dedicated research protocol. We found no statistically significant correlation between ADC and ve for the 1.5- or 3.0-T patient sets on either a voxel-by-voxel or a region-of-interest (ROI) basis. These data, combined with similar results from other disease sites in the literature, may indicate that the conventional interpretation of either ADC, ve or their relationship is not sufficient to explain experimental findings.
  • Keywords
    Apparent diffusion coefficient , Extravascular extracellular volume fraction , human breast cancer
  • Journal title
    Magnetic Resonance Imaging
  • Serial Year
    2011
  • Journal title
    Magnetic Resonance Imaging
  • Record number

    1833151