iDQC MR Imaging of Tumor Pathophysiology

肿瘤病理生理学的 iDQC MR 成像

基本信息

  • 批准号:
    6622112
  • 负责人:
  • 金额:
    $ 14.4万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2002
  • 资助国家:
    美国
  • 起止时间:
    2002-04-05 至 2005-03-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): MR imaging has been used extensively in clinical practice for tumor diagnosis. A wide variety of functional MRI techniques have also been developed to non-invasively assess tumor flow and oxygenation. In particular dynamic contrast enhancement (DCE) MRI has been shown to correlate well with tumor angiogenesis. BOLD effects have also been used to measure changes due to blood oxygenation and flow in tumor studies. With careful experimental design, BOLD effects may also provide quantitative information about oxygen saturation. Recently we have been developing a novel MR imaging technique based on intermolecular double-quantum coherences (iDQCs), which is inherently more sensitive to some physical processes relevant to tumor physiological characterization. In this application, we propose three different types of MRI measurements based on iDQCs, which will provide more sensitive and specific characterization of tumors in terms of: (1) oxygenation; (2) spatial distributions of microvessels at spatial resolutions far below conventional MRI; and (3) necrotic fraction. In the this phase, iDQC imaging methods suitable for tumor characterization will be developed and compared with conventional SQC MRI. Experimental murine tumor models, MCA-35 and MCA-4, which have been extensively characterized by the co-PI, Dr. Fenton, with immunohistochemical techniques, will be used for iDQC MR imaging on a 9.4T MR scanner. Histograms of physiological parameters measured with iDQC imaging will be compared to results from immunohistochemical measurements and conventional SQC MR/. Correlation will be sought in selected regions in the tumor core and periphery, as well as normal tissues. In the next phase, methods for multispectral analysis of images will be developed to address the multi-dimensional nature of tumor pathophysiology with integrated data from oxygen saturation, microvascular distribution, and tumor necrotic fraction measurements. Spatial correlation between MRI and immunohistochemical images for quantifying blood vessel distribution and oxygen saturation will also be pursued in this phase. Response to increased oxygen and effects of radiation therapy on tumor oxygenation and angiogenesis will be studied to validate the utility of new iDQC imaging techniques. The novel iDQC MR imaging proposed in this study will provide enhanced sensitivity and specificity for measurements based on the BOLD effect, and provide a new measurement for tumor vascularity complementary to conventional DCE techniques. Since the iDQC techniques proposed in this application do not involve changes in hardware, they can be translated into clinical applications relatively quickly once the methods are carefully validated.
描述(由申请人提供): 磁共振成像已广泛应用于临床实践中的肿瘤诊断。 各种各样的功能性MRI技术也已经发展到 非侵入性地评估肿瘤流动和氧合。特别是动态 对比增强(DCE)MRI已显示与肿瘤相关性良好 血管生成BOLD效应也被用于测量血液 肿瘤研究中的氧合和血流。经过精心的实验设计,BOLD 效应还可以提供关于氧饱和度的定量信息。 最近,我们一直在开发一种新的MR成像技术, 分子间双量子相干(iDQC),这是固有的更多 对某些与肿瘤生理相关的物理过程敏感 特征化在这个应用中,我们提出了三种不同类型的MRI 基于iDQC的测量,这将提供更灵敏和更特异的 肿瘤的表征:(1)氧合;(2)空间 微血管分布的空间分辨率远低于传统的 MRI;(3)坏死分数。在此阶段,iDQC成像方法 将开发适用于肿瘤表征的药物,并与 常规SQC MRI。实验鼠肿瘤模型,MCA-35和MCA-4, 共同研究者芬顿博士已经对其进行了广泛的表征, 免疫组织化学技术,将用于9.4T MR上的iDQC MR成像 扫描仪使用iDQC成像测量的生理参数直方图 将与免疫组织化学测量结果进行比较, 常规SQC MR/。将在2010年选定的区域寻求相互关联, 肿瘤核心和周边以及正常组织。在下一阶段,方法 将开发用于图像多光谱分析的软件, 肿瘤病理生理学的多维性质, 血氧饱和度、微血管分布和肿瘤坏死分数 测量. MRI与免疫组化图像的空间相关性 用于量化血管分布和氧饱和度的方法也将 在这个阶段追求。对氧气增加和辐射影响的反应 将研究对肿瘤氧合和血管生成的治疗,以验证 新的iDQC成像技术的实用性。中提出的新型iDQC MR成像 这项研究将提高测量的灵敏度和特异性, 基于BOLD效应,为肿瘤血管提供了一种新的测量方法 这是对传统DCE技术的补充。由于iDQC技术 在本申请中提出的不涉及硬件的改变,它们可以 一旦这些方法被应用于临床, 仔细验证。

项目成果

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JIANHUI ZHONG其他文献

JIANHUI ZHONG的其他文献

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{{ truncateString('JIANHUI ZHONG', 18)}}的其他基金

Translational Neuroimaging & Neurophysiology Core
转化神经影像学
  • 批准号:
    10633150
  • 财政年份:
    2020
  • 资助金额:
    $ 14.4万
  • 项目类别:
Translational Neuroimaging & Neurophysiology Core
转化神经影像学
  • 批准号:
    10445284
  • 财政年份:
    2020
  • 资助金额:
    $ 14.4万
  • 项目类别:
Translational Neuroimaging & Neurophysiology Core
转化神经影像学
  • 批准号:
    10085502
  • 财政年份:
    2020
  • 资助金额:
    $ 14.4万
  • 项目类别:
Translational Neuroimaging & Neurophysiology Core
转化神经影像学
  • 批准号:
    10226347
  • 财政年份:
    2020
  • 资助金额:
    $ 14.4万
  • 项目类别:
Upgrade of a 3T Siemens Trio MRI scanner at the University of Rochester
罗彻斯特大学 3T 西门子 Trio MRI 扫描仪的升级
  • 批准号:
    7595512
  • 财政年份:
    2009
  • 资助金额:
    $ 14.4万
  • 项目类别:
Biophysical Basis of Brain iDQC MR Imaging
大脑 iDQC MR 成像的生物物理基础
  • 批准号:
    6469902
  • 财政年份:
    2002
  • 资助金额:
    $ 14.4万
  • 项目类别:
iDQC MR Imaging of Tumor Pathophysiology
肿瘤病理生理学的 iDQC MR 成像
  • 批准号:
    6439033
  • 财政年份:
    2002
  • 资助金额:
    $ 14.4万
  • 项目类别:
Biophysical Basis of Brain iDQC MR Imaging
大脑 iDQC MR 成像的生物物理基础
  • 批准号:
    6733610
  • 财政年份:
    2002
  • 资助金额:
    $ 14.4万
  • 项目类别:
Biophysical Basis of Brain iDQC MR Imaging
大脑 iDQC MR 成像的生物物理基础
  • 批准号:
    6623708
  • 财政年份:
    2002
  • 资助金额:
    $ 14.4万
  • 项目类别:
QUANTITATION OF DIFFUSION EFFECTS IN MR IMAGING OF BRAIN
大脑 MR 成像中扩散效应的量化
  • 批准号:
    2269991
  • 财政年份:
    1994
  • 资助金额:
    $ 14.4万
  • 项目类别:
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