Improved Evaluation of Antivascular Cancer Therapy Using Constrained Tracer-Kinetic Modeling for Multiagent Dynamic Contrast-Enhanced MRI

被引:15
|
作者
Hectors, Stefanie J. [1 ,2 ]
Jacobs, Igor [1 ,3 ]
Lok, Jasper [4 ]
Peters, Johannes [4 ]
Bussink, Johan [4 ]
Hoeben, Freek J. [5 ]
Keizer, Henk M. [5 ]
Janssen, Henk M. [5 ]
Nicolay, Klaas [1 ]
Schabel, Matthias C. [6 ]
Strijkers, Gustav J. [1 ,7 ]
机构
[1] Biomed NMR, Dept Biomed Engn, Eindhoven, Netherlands
[2] Icahn Sch Med Mt Sinai, Translat & Mol Imaging Inst, New York, NY 10029 USA
[3] Philips Res, Oncol Solut, Eindhoven, Netherlands
[4] Radboud Univ Nijmegen, Med Ctr, Dept Radiat Oncol, Nijmegen, Netherlands
[5] SyMO Chem BV, Eindhoven, Netherlands
[6] Oregon Hlth & Sci Univ, Adv Imaging Res Ctr, Portland, OR 97201 USA
[7] Univ Amsterdam, Acad Med Ctr, Biomed Engn & Phys, Amsterdam, Netherlands
关键词
INPUT FUNCTION ESTIMATION; MONTE-CARLO METHOD; VASCULAR-PERMEABILITY; MOLECULAR-WEIGHT; 5,6-DIMETHYLXANTHENONE-4-ACETIC ACID; CAPILLARY-PERMEABILITY; TUMOR ANGIOGENESIS; DCE-MRI; AGENTS; PARAMETERS;
D O I
10.1158/0008-5472.CAN-17-2569
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Dynamic contrast-enhanced MRI (DCE-MRI) is a promising technique for assessing the response of tumor vasculature to antivascular therapies. Multiagent DCE-MRI employs a combination of low and high molecular weight contrast agents, which potentially improves the accuracy of estimation of tumor hemodynamic and vascular permeability parameters. In this study, we used multiagent DCE-M RI to assess changes in tumor hemodynamics and vascular permeability after vascular-disrupting therapy. Multiagent DCE-MRI (sequential injection of C5 dendrimer, G2 dendrimer, and Cd-DOTA) was performed in tumor-bearing mice before, 2 and 24 hours after treatment with vascular disrupting agent DMXAA or placebo. Constrained DCE-MRI gamma capillary transit time modeling was used to estimate flow F, blood volume fraction vb, mean capillary transit time tc, bolus arrival time td, extracellular extravascular fraction ve, vascular heterogeneity index (all identical between agents) and extraction fraction E (reflective of perme- ability), and transfer constant IC 'ns (both agent-specific) in perfused pixels. F, 1,b, and 0,-1 decreased at both time points after DMXAA, whereas t, increased. E (G2 and G5) showed an initial increase, after which, both parameters restored. (G2 and Gd-DOTA) decreased at both time points after treatment, In the control, placebo-treated animals, only F. t, and f "Han' Gd-DOTA showed significant changes. Histologic per fused tumor fraction was significantly lower in DMXAA-treated versus control animals. Our results show how multiagent tracer-kinetic modeling can accurately determine the effects of vascular-disrupting therapy by separating simultaneous changes in tumor hemodynamics and vascular permeability. Significance: These findings describe a new approach to measure separately the effects of antivascular therapy on tumor hemodynamics and vascular permeability, which could help more rapidly and accurately assess the efficacy of experimental therapy of this class.
引用
下载
收藏
页码:1561 / 1570
页数:10
相关论文
共 50 条
  • [1] Tracer-kinetic modeling of dynamic contrast-enhanced MRI and CT: a primer
    Michael Ingrisch
    Steven Sourbron
    Journal of Pharmacokinetics and Pharmacodynamics, 2013, 40 : 281 - 300
  • [2] Tracer-kinetic modeling of dynamic contrast-enhanced MRI and CT: a primer
    Ingrisch, Michael
    Sourbron, Steven
    JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS, 2013, 40 (03) : 281 - 300
  • [3] A novel approach to tracer-kinetic modeling for (macromolecular) dynamic contrast-enhanced MRI
    Jacobs, Igor
    Strijkers, Gustav J.
    Keizer, Henk M.
    Janssen, Henk M.
    Nicolay, Klaas
    Schabel, Matthias C.
    MAGNETIC RESONANCE IN MEDICINE, 2016, 75 (03) : 1142 - 1153
  • [4] Comparison of dynamic contrast-enhanced MRI tracer-kinetic modeling in the lung of smokers v non-smokers
    Luke, David
    Hubbard, Penny
    Parker, Geoff
    Naish, Josephine
    EUROPEAN RESPIRATORY JOURNAL, 2012, 40
  • [5] Dual-input tracer kinetic modeling of dynamic contrast-enhanced MRI in thoracic malignancies
    Lee, Sang Ho
    Rimner, Andreas
    Deasy, Joseph O.
    Hunt, Margie A.
    Tyagi, Neelam
    JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2019, 20 (11): : 169 - 188
  • [6] Tracer kinetic model selection for dynamic contrast-enhanced MRI of locally advanced cervical cancer
    Kallehauge, J.
    Haack, S.
    Tanderup, K.
    Lindegaard, J. C.
    Mohamed, S.
    Pedersen, E. M.
    Fokdal, L.
    Nielsen, T.
    RADIOTHERAPY AND ONCOLOGY, 2014, 111 : S164 - S164
  • [7] Dynamic contrast-enhanced MRI in clinical trials of antivascular therapies
    James P. B. O'Connor
    Alan Jackson
    Geoff J. M. Parker
    Caleb Roberts
    Gordon C. Jayson
    Nature Reviews Clinical Oncology, 2012, 9 : 167 - 177
  • [8] Dynamic contrast-enhanced MRI in clinical trials of antivascular therapies
    O'Connor, James P. B.
    Jackson, Alan
    Parker, Geoff J. M.
    Roberts, Caleb
    Jayson, Gordon C.
    NATURE REVIEWS CLINICAL ONCOLOGY, 2012, 9 (03) : 167 - 177
  • [9] Review of tracer kinetic models in evaluation of gliomas using dynamic contrast-enhanced imaging
    Zhou, Jianan
    Hou, Zujun
    Tian, Chuanshuai
    Zhu, Zhengyang
    Ye, Meiping
    Chen, Sixuan
    Yang, Huiquan
    Zhang, Xin
    Zhang, Bing
    FRONTIERS IN ONCOLOGY, 2024, 14
  • [10] Endometrial carcinoma: use of tracer kinetic modeling of dynamic contrast-enhanced MRI for preoperative risk assessment
    Ye, Zhijun
    Ning, Gang
    Li, Xuesheng
    San Koh, Tong
    Chen, Huizhu
    Bai, Wanjing
    Qu, Haibo
    CANCER IMAGING, 2022, 22 (01)