Journal
CANCER RESEARCH
Volume 74, Issue 7, Pages 1902-1912Publisher
AMER ASSOC CANCER RESEARCH
DOI: 10.1158/0008-5472.CAN-13-2511
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Funding
- Engineering and Physical Sciences Research Council (EPSRC) [EP/E056938/1, EP/E007748, EP/H046410/1]
- Kings College London UCL CR-UK
- Wellcome Trust
- EPSRC Comprehensive Cancer Imaging Centre
- EPSRC [EP/H046410/1, EP/G007748/1] Funding Source: UKRI
- MRC [G1001497] Funding Source: UKRI
- Cancer Research UK [16463] Funding Source: researchfish
- Engineering and Physical Sciences Research Council [EP/G007748/1, EP/H046410/1] Funding Source: researchfish
- Medical Research Council [G1001497] Funding Source: researchfish
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There is a need for biomarkers that are useful for noninvasive imaging of tumor pathophysiology and drug efficacy. Through its use of endogenous water, diffusion-weighted MRI (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 intravoxel 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 (Vascular, Extracellular and Restricted Diffusion for Cytometry in Tumors) to quantify and map histologic 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. 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 noninvasive method to monitor and stratify treatment responses. (C)2014 AACR.
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