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Publication Detail
Non-invasive quantification of solid tumor microstructure using VERDICT MRI
  • Publication Type:
    Journal article
  • Publication Sub Type:
  • Authors:
    Panagiotaki E, Walker-Samuel S, Siow B, Johnson P, Rajkumarc V, Pedley R, Lythgoe , Alexander DC
  • Publication date:
  • Journal:
    Cancer Research
  • Addresses:
There is a need for biomarkers that are useful for non-invasive imaging of tumor pathophysiology and drug efficacy. Through its use of endogenous water, diffusion-weighted magnetic resonance imaging (DW-MRI) can be used to probe local tissue architecture and structure. However, most DW-MRI studies of cancer tissues have relied on simplistic mathematical models, such as apparent diffusion coefficient (ADC) or intra-voxel incoherent motion (IVIM) models, which produce equivocal results on the relation of the model parameter estimate with the underlying tissue microstructure. Here we present a novel technique called VERDICT to quantify and map histological features of tumors in vivo. VERDICT couples DW-MRI to a mathematical model of tumor tissue to access features such as cell size, vascular volume fraction, intra- and extracellular volume fractions and pseudo-diffusivity associated with blood flow. To illustrate VERDICT we used two tumor xenograft models of colorectal cancer with different cellular and vascular phenotypes. Our experiments visualized known differences in the tissue microstructure of each model and the significant decrease in cell volume resulting from administration of the cytotoxic drug gemcitabine, reflecting the apoptotic volume decrease (AVD). In contrast, the standard ADC and IVIM models failed to detect either of these differences. Our results illustrate the superior features of VERDICT for cancer imaging, establishing it as a non-invasive method to monitor and stratify treatment responses.
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Dept of Computer Science
Experimental & Translational Medicine
Dept of Computer Science
Cancer Institute
Experimental & Translational Medicine
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