Sono-Contrast Induced Functional Imaging/Spectroscopy

声对比诱导功能成像/光谱

基本信息

  • 批准号:
    7230953
  • 负责人:
  • 金额:
    $ 31.84万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2004
  • 资助国家:
    美国
  • 起止时间:
    2004-05-26 至 2011-04-30
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): An innovative method of in vivo imaging for detection and pathophysiological classification of relatively superficial malignancies is proposed. The technique, sono-contrast induced functional imaging and spectroscopy (SCIFIS), builds upon existing diffuse reflectance spectroscopy (DRS) in the near infrared region but uses standing wave focused ultrasound deposition as a contrast agent to improve the sensitivity and specificity of DRS. The overall goal is to develop a non-invasive, real-time modality for cancer diagnosis, prognosis and post-treatment surveillance. The basis of the proposed in vivo imaging method is that acoustic radiation force delivered by focused ultrasound forming a standing wave causes reversible compression of the vasculature and/or blood flow stasis, and thus temporal changes in hemoglobin concentration, which are registered in the dynamic (pre- and post-insonification) observation of near-infrared spectra. By intersecting the optical path and the acoustic path at an angle and subtracting measured spectra pre- and post-deposition of sono-contrast, signatures of vascular pathophysiology can be identified at the intersecting location. In the R21 phase, C3H mice inoculated with murine mammary tumors on the left legs will undergo in vivo SCIFIS measurement prior to immunohistochemical examination. Principal component analysis neural networks (PCANN) will be used in data analysis/correlation, leading to definitively tests of the underlying hypotheses via receiver operating characteristics analysis and statistical correlation of tumor detection and vascular distribution predictions. In the R33 phase, clinical evaluation of the SCIFIS technique will commence following system optimization by Monte Carlo simulation. Non-invasive, in vivo acquisition of SCIFIS spectra will be collected in patients undergoing biopsy for suspicion of breast cancers. The predictive model based on PCANN will be quantitatively compared with pathological tissue diagnoses. In addition, response to radiation treatment and outcome will be correlated with angiogenesis and/or tumor hypoxia findings in the sonocontrast spectra for those patients who are found to have malignant diagnoses and eventually receive radiotherapy.
描述(由申请人提供):

项目成果

期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Clinical study of a noninvasive multimodal sono-contrast induced spectroscopy system for breast cancer diagnosis.
用于乳腺癌诊断的无创多模式声对比诱导光谱系统的临床研究。
  • DOI:
    10.1118/1.3689811
  • 发表时间:
    2012
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Yan,K;Yu,Y;Tinney,E;Baraldi,R;Liao,L
  • 通讯作者:
    Liao,L
Acoustic radiation force and optical spectroscopy for assessing tumor vessel normalization during anti-angiogenic therapy.
声辐射力和光谱学用于评估抗血管生成治疗期间肿瘤血管正常化。
Investigation of acoustic radiation force for radio-protecting normal tissues during radiation therapy.
放射治疗期间正常组织辐射防护的声辐射力研究。
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Yan Yu其他文献

Yan Yu的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Yan Yu', 18)}}的其他基金

Targeting Lysine-specific Demethylase 1 to Enhance the Post-transplant Graft-versus-leukemia Effect
靶向赖氨酸特异性去甲基酶 1 增强移植后移植物抗白血病效应
  • 批准号:
    467033
  • 财政年份:
    2021
  • 资助金额:
    $ 31.84万
  • 项目类别:
    Studentship Programs
Decoupling Receptor Clusters and Signaling Crosstalk in Phagosome Membranes
吞噬体膜中受体簇的解耦和信号串扰
  • 批准号:
    9387826
  • 财政年份:
    2017
  • 资助金额:
    $ 31.84万
  • 项目类别:
Unravelling Mechanisms of Endosomal Signaling with Designer Nanomaterials
用设计纳米材料揭示内体信号传导机制
  • 批准号:
    10172924
  • 财政年份:
    2017
  • 资助金额:
    $ 31.84万
  • 项目类别:
Unravelling Mechanisms of Endosomal Signaling with Designer Nanomaterials
用设计纳米材料揭示内体信号传导机制
  • 批准号:
    9382294
  • 财政年份:
    2017
  • 资助金额:
    $ 31.84万
  • 项目类别:
How the endocytic network mediates specificity of cell signaling
内吞网络如何介导细胞信号传导的特异性
  • 批准号:
    10623603
  • 财政年份:
    2017
  • 资助金额:
    $ 31.84万
  • 项目类别:
Orthogonal ultrasound for cancer detection and therapy
用于癌症检测和治疗的正交超声
  • 批准号:
    6924608
  • 财政年份:
    2004
  • 资助金额:
    $ 31.84万
  • 项目类别:
Sono-Contrast Induced Functional Imaging/Spectroscopy
声对比诱导功能成像/光谱
  • 批准号:
    7341355
  • 财政年份:
    2004
  • 资助金额:
    $ 31.84万
  • 项目类别:
Sono-Contrast Induced Functional Imaging/Spectroscopy
声对比诱导功能成像/光谱
  • 批准号:
    7115008
  • 财政年份:
    2004
  • 资助金额:
    $ 31.84万
  • 项目类别:
Sono-Contrast Induced Functional Imaging/Spectroscopy
声对比诱导功能成像/光谱学
  • 批准号:
    7090151
  • 财政年份:
    2004
  • 资助金额:
    $ 31.84万
  • 项目类别:
Orthogonal ultrasound for cancer detection and therapy
用于癌症检测和治疗的正交超声
  • 批准号:
    7341339
  • 财政年份:
    2004
  • 资助金额:
    $ 31.84万
  • 项目类别:

相似海外基金

GCR: Reprogramming Biological Neural Networks with Field-Based Engineered Systems
GCR:使用基于现场的工程系统重新编程生物神经网络
  • 批准号:
    2121164
  • 财政年份:
    2021
  • 资助金额:
    $ 31.84万
  • 项目类别:
    Continuing Grant
How do biological neural networks learn to predict their environment?
生物神经网络如何学习预测其环境?
  • 批准号:
    2610330
  • 财政年份:
    2021
  • 资助金额:
    $ 31.84万
  • 项目类别:
    Studentship
Convergence: RAISE Integrating machine learning and biological neural networks
融合:RAISE 集成机器学习和生物神经网络
  • 批准号:
    1848029
  • 财政年份:
    2018
  • 资助金额:
    $ 31.84万
  • 项目类别:
    Standard Grant
The decoding of synchrony changes by biological neural networks
生物神经网络解码同步变化
  • 批准号:
    347667-2007
  • 财政年份:
    2007
  • 资助金额:
    $ 31.84万
  • 项目类别:
    Postgraduate Scholarships - Master's
BIOLOGICAL NEURAL NETWORKS: AUDITORY SYSTEM
生物神经网络:听觉系统
  • 批准号:
    6122982
  • 财政年份:
    1998
  • 资助金额:
    $ 31.84万
  • 项目类别:
BIOLOGICAL NEURAL NETWORKS
生物神经网络
  • 批准号:
    6253979
  • 财政年份:
    1997
  • 资助金额:
    $ 31.84万
  • 项目类别:
Feasibility Study of Biological Neural Networks Formations on a VLSI Chip
VLSI 芯片上生物神经网络形成的可行性研究
  • 批准号:
    9318328
  • 财政年份:
    1993
  • 资助金额:
    $ 31.84万
  • 项目类别:
    Standard Grant
BIOLOGICAL NEURAL NETWORKS IN AUDITORY SYSTEM: ELECTRODE PROBE
听觉系统中的生物神经网络:电极探针
  • 批准号:
    5225762
  • 财政年份:
  • 资助金额:
    $ 31.84万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了