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
相关论文
共 50 条
  • [41] The quantification of pulmonary valve haemodynamics using MRI
    Reid, SA
    Walker, PG
    Fisher, J
    Nagy, Z
    Ridgway, JP
    Watterson, KG
    Sivananthan, MU
    INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING, 2002, 18 (03): : 217 - 225
  • [42] The quantification of pulmonary valve haemodynamics using MRI
    Scott A. Reid
    Peter G. Walker
    John Fisher
    Z. Nagy
    John P. Ridgway
    Kevin G. Watterson
    Mohan U. Sivananthan
    The International Journal of Cardiovascular Imaging, 2002, 18 : 217 - 225
  • [43] Volumetric quantification of brain development using MRI
    N. Iwasaki
    K. Hamano
    Y. Okada
    Y. Horigome
    J. Nakayama
    T. Takeya
    H. Takita
    T. Nose
    Neuroradiology, 1997, 39 : 841 - 846
  • [44] Prostate Cancer Classification on VERDICT DW-MRI Using Convolutional Neural Networks
    Chiou, Eleni
    Giganti, Francesco
    Bonet-Carne, Elisenda
    Punwani, Shonit
    Kokkinos, Iasonas
    Panagiotaki, Eleftheria
    MACHINE LEARNING IN MEDICAL IMAGING: 9TH INTERNATIONAL WORKSHOP, MLMI 2018, 2018, 11046 : 319 - 327
  • [45] Visualization and Quantification of Placental Vasculature Using MRI
    Chappell, Joanna
    Sokolska, Magdalena
    Aughwane, Rosalind
    Clark, Alys R.
    Ourselin, Sebastien
    David, Anna L.
    Melbourne, Andrew
    PERINATAL, PRETERM AND PAEDIATRIC IMAGE ANALYSIS, PIPPI 2023, 2023, 14246 : 88 - 97
  • [46] Quantification of patellar tracking using kinematic MRI
    Powers, CM
    Shellock, FG
    Pfaff, M
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 1998, 8 (03) : 724 - 732
  • [47] Volumetric quantification of brain development using MRI
    Iwasaki, N
    Hamano, K
    Okada, Y
    Horigome, Y
    Nakayama, J
    Takeya, T
    Takita, H
    Nose, T
    NEURORADIOLOGY, 1997, 39 (12) : 841 - 846
  • [48] Noninvasive measurement of degree of bone mineralization with solid state proton and phosphorus MRI
    Wu, Y
    Glimcher, M
    Graham, L
    Chesler, D
    Wang, Y
    Ackerman, J
    BONE, 2003, 32 (05) : S177 - S177
  • [49] In vivo quantification of atherosclerotic plaque composition by noninvasive high resolution MRI in rabbits:: A histopathological correlation
    Helft, G
    Worthley, SG
    Fuster, V
    Fayad, ZA
    Osende, JI
    Zaman, AG
    Fallon, J
    Badimon, JJ
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2000, 35 (02) : 478A - 479A
  • [50] Noninvasive MRI-Based Liver Iron Quantification: Methodic Approaches, Practical Applicability and Significance
    Wunderlich, A. P.
    Cario, H.
    Juchems, M. S.
    Beer, M.
    Schmidt, S. A.
    ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN, 2016, 188 (11): : 1031 - 1036