Quantitative Multimodal Image Guidance for Improved Liver Cancer Treatment

定量多模态图像指导改善肝癌治疗

基本信息

  • 批准号:
    9982672
  • 负责人:
  • 金额:
    $ 60.16万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2016
  • 资助国家:
    美国
  • 起止时间:
    2016-08-01 至 2022-07-31
  • 项目状态:
    已结题

项目摘要

Project Summary/Abstract Liver cancer is the second most common cause of cancer-related death worldwide and is likely to grow even more in the next decade given the epidemic levels of hepatitis B and C and the emergence of non-alcoholic steatohepatitis (NASH) due to obesity in the US. Most liver cancer patients present with disease that cannot be treated surgically. Minimally invasive, catheter-based, intra-arterial therapies such as TACE (transarterial chemoembolization) have become the mainstay therapy and are included in all treatment guidelines because of their ability to achieve local tumor control and extend survival. TACE overcomes the problem of chemoresistance in cancer cells by delivering high dose chemotherapy through image guidance and embolization of the tumor feeding blood vessel. TACE most commonly uses an oily medium (Lipiodol) as a radiopaque drug delivery mate- rial by creating an emulsion between drugs and oil. The recent introduction of drug-eluting bead (DEB) technol- ogy provides an opportunity to achieve the goal of controlled and sustainable drug release to tumors, which was not possible with oily TACE. Although TACE clearly improves patient survival, limitations still exist – specifically, incomplete treatment and tumor recurrence – attributed to the stimulation of angiogenesis. Most of these issues can be addressed with a greater understanding of the tumor microenvironment, in particular the relationship that exists between hypoxia, acidosis and angiogenesis. In fact, the development of imaging biomarkers reflecting changes within the tumor microenvironment is increasingly being pursued to individualize cancer therapies and increase their potency. Yet, our ability to characterize the tumor microenvironment using current imaging tech- nology is extremely limited. TACE has had to rely on 2D X-ray angiography until recently when the emergence of intra-procedural dual phase cone beam CT (DP-CBCT) contributed significantly to improving tumor visualization, microcatheter guidance, and treatment endpoint. It is precisely through the longstanding close partnership be- tween Philips, Johns Hopkins and now Yale that this technology was optimized and became broadly accepted as the new standard of practice for TACE, demonstrating the prompt successful translation of research findings to clinical practice. However, the targeting of tumors and assessment of outcomes continues to be limited, relying on qualitative/semi-quantitative enhancement patterns from DP-CBCT and single parameter MR images. The unique partnership between Yale & Philips provides innovative technology that will directly enhance the role of image-guided intervention and address this unmet need by quantitatively characterizing the tumor microenvi- ronment and tumor tissue composition in order to maximize treatment potency and improve outcomes. We will integrate advanced, multiparameter MR with active CBCT imaging and create valuable biomarkers derived from novel machine learning methods for image and data analysis. By providing essential, quantitative information, drug delivery to tumors can be maximized because it will be based on inherent tumor properties. In the same way, the assessment of therapy will be much more precise and therefore useful to identify responders.
项目总结/文摘

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(2)

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JAMES S DUNCAN其他文献

JAMES S DUNCAN的其他文献

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{{ truncateString('JAMES S DUNCAN', 18)}}的其他基金

Quantitative Multimodal Imaging Biomarkers for Combined Locoregional and Immunotherapy of Liver Cancer
用于肝癌局部区域和免疫联合治疗的定量多模态成像生物标志物
  • 批准号:
    10707985
  • 财政年份:
    2016
  • 资助金额:
    $ 60.16万
  • 项目类别:
q4DE: A Biomarker for Image-Guided, Post-MI Hydrogel Therapy
q4DE:图像引导、心肌梗死后水凝胶治疗的生物标志物
  • 批准号:
    9890853
  • 财政年份:
    2014
  • 资助金额:
    $ 60.16万
  • 项目类别:
Integrated RF and B-mode Deformation Analysis for 4D Stress Echocardiography
用于 4D 应力超声心动图的集成 RF 和 B 模式变形分析
  • 批准号:
    8614454
  • 财政年份:
    2014
  • 资助金额:
    $ 60.16万
  • 项目类别:
q4DE: A Biomarker for Image-Guided, Post-MI Hydrogel Therapy
q4DE:图像引导、心肌梗死后水凝胶治疗的生物标志物
  • 批准号:
    10376296
  • 财政年份:
    2014
  • 资助金额:
    $ 60.16万
  • 项目类别:
Training in Multi-Modality Molecular and Transitional Cardiovascular Imaging
多模态分子和过渡心血管成像培训
  • 批准号:
    10436344
  • 财政年份:
    2010
  • 资助金额:
    $ 60.16万
  • 项目类别:
Training In Multi-modality Molecular & Translational Cardiovascular Imaging
多模态分子培训
  • 批准号:
    8725724
  • 财政年份:
    2010
  • 资助金额:
    $ 60.16万
  • 项目类别:
Training in Multi-modality Molecular and Translational Cardiovascular Imaging
多模态分子和转化心血管成像培训
  • 批准号:
    8145571
  • 财政年份:
    2010
  • 资助金额:
    $ 60.16万
  • 项目类别:
Training In Multi-modality Molecular & Translational Cardiovascular Imaging
多模态分子培训
  • 批准号:
    8526506
  • 财政年份:
    2010
  • 资助金额:
    $ 60.16万
  • 项目类别:
Training in Multi-Modality Molecular and Transitional Cardiovascular Imaging
多模态分子和过渡心血管成像培训
  • 批准号:
    10666518
  • 财政年份:
    2010
  • 资助金额:
    $ 60.16万
  • 项目类别:
Training in Multi-modality Molecular and Translational Cardiovascular Imaging
多模态分子和转化心血管成像培训
  • 批准号:
    8795003
  • 财政年份:
    2010
  • 资助金额:
    $ 60.16万
  • 项目类别:

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肿瘤微环境因子Lactic acidosis在肿瘤细胞耐受葡萄糖剥夺中的作用机制研究
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