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Automated Volumetric Molecular Ultrasound for Breast Cancer Imaging

Automated Volumetric Molecular Ultrasound for Breast Cancer Imaging
用于乳腺癌成像的自动体积分子超声
批准号:
10226947
负责人:
BRUCE L DANIEL
金额:
$15.3万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-08-01 至 2024-01-31

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中文摘要
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英文摘要
Breast cancer is the second leading cause of cancer-related deaths in women in the United States. While mammography is the current first line imaging approach, its diagnostic accuracy is very limited in women with dense breast tissue. In those patients, ultrasound is used to supplement mammography for improved breast cancer detection and characterization. However, it often results in false positive findings with multiple unnecessary callbacks, biopsies, associated health care cost, and psychological stress for women. Ultrasound molecular imaging using contrast agents targeted at cancer-associated molecular signatures on the tumor neovasculature, such as kinase domain receptor (KDR), is an emerging strategy that has shown promising results for breast cancer detection and characterization in preclinical animal models as well as in a recent pilot clinical trial performed by our group. However, current limitations include its operator-dependency, limited anatomical coverage, and the lack of an optimized clinical imaging system for wide-spread breast ultrasound molecular imaging. The purpose of this interdisciplinary, academic-industrial collaboration between Stanford University and Siemens Medical Solutions USA, Inc. is to develop, optimize, and clinically test a new operator- independent whole-breast ultrasound imaging system based on a commercially available and widely used automated human breast volume scanner (ABVS), supporting molecular imaging for improved breast cancer imaging in the clinic. We will also develop imaging strategies to mitigate common artifacts encountered in ultrasound molecular imaging of the breast, including spurious contrast signal from tissue signal leakage and acoustic shadowing from the nipple. To assess feasibility and efficacy in the clinic, the new volumetric ultrasound molecular imaging system will then be clinically tested in women with focal breast lesions using histology and KDR staining levels on immunohistochemistry as gold standard. The technology used in this proposal can be integrated on similar other commercial devices beyond the ABVS (in the USA alone, approximately 1600 units are already used in routine clinical practice) and will therefore have immediate impact on the general public.
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Abbreviated Non-Contrast-Enhanced MRI for Breast Cancer Screening
  • 批准号:
    10331324
  • 项目类别:
  • 资助金额:
    $58.13万
  • 财政年份:
    2021
  • 负责人:
    BRUCE L DANIEL
  • 依托单位:
Abbreviated Non-Contrast-Enhanced MRI for Breast Cancer Screening
  • 批准号:
    10557922
  • 项目类别:
  • 资助金额:
    $66.85万
  • 财政年份:
    2021
  • 负责人:
    BRUCE L DANIEL
  • 依托单位:
High-Resolution Breast MRI at 3.0T
  • 批准号:
    10311113
  • 项目类别:
  • 资助金额:
    $68.4万
  • 财政年份:
    2020
  • 负责人:
    BRUCE L DANIEL
  • 依托单位:
High-Resolution Breast MRI at 3.0T
  • 批准号:
    9886796
  • 项目类别:
  • 资助金额:
    $63.96万
  • 财政年份:
    2020
  • 负责人:
    BRUCE L DANIEL
  • 依托单位:
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