Noninvasive Quantification of Solid Tumor Microstructure Using VERDICT MRI

被引:181
|
作者
Panagiotaki, Eletheria [1 ]
Walker-Samuel, Simon [2 ]
Siow, Bernard [1 ,2 ]
Johnson, S. Peter [3 ]
Rajkumar, Vineeth [3 ]
Pedley, R. Barbara [3 ]
Lythgoe, Mark F. [2 ]
Alexander, Daniel C. [1 ]
机构
[1] UCL, Ctr Med Image Comp, Dept Comp Sci, London WC1E 6BT, England
[2] UCL, Ctr Adv Biomed Imaging, Div Med, London WC1E 6BT, England
[3] UCL, UCL Canc Inst, London WC1E 6BT, England
基金
英国工程与自然科学研究理事会; 英国惠康基金;
关键词
TEMPORAL DIFFUSION SPECTROSCOPY; BREAST-CANCER; IN-VIVO; ANTITUMOR-ACTIVITY; AXON DIAMETER; RENAL TUMORS; HUMAN BRAIN; CHEMOTHERAPY; WATER; DIFFERENTIATION;
D O I
10.1158/0008-5472.CAN-13-2511
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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.
引用
收藏
页码:1902 / 1912
页数:11
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