A Novel Optical Spectral Imaging System for Rapid Imaging of Breast Tumor Margins

一种用于乳腺肿瘤边缘快速成像的新型光谱成像系统

基本信息

  • 批准号:
    8645626
  • 负责人:
  • 金额:
    $ 92.06万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2011
  • 资助国家:
    美国
  • 起止时间:
    2011-04-01 至 2016-03-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): The American Cancer Society estimates that a total of 192,370 new invasive breast cancers and 62,280 new cases of in situ breast cancer are diagnosed annually. Women with operable breast cancer undergo Breast Conserving Surgery (BCS), also called lumpectomy or partial mastectomy. On average between 50 to 75% of patients with breast cancer undergo BCS followed by radiation therapy. Approximately 20-70% of women undergoing BCS have to return for a repeat surgery due to incomplete removal of the cancer at the first BCS. There is a significant unmet need for a rapid and practical tool for intra-operative assessment of breast tumor margins. The broad goal of this BRP is to bring multiple investigators from Duke University and the University of Wisconsin, Madison together to develop and validate a miniature optical spectral imaging strategy for intra- operative imaging of tumor margins in patients undergoing BCS. Achieving this goal requires significant innovation in optical physics and engineering, and will leverage advances in thin film detectors, waveguides, and on-board electronics. The specific aims of the proposed work are: (1) to design, construct and refine a miniature spectral imaging device and software for quantitative optical spectral imaging, (2) to verify the spectral imaging technology performance metrics through rigorous bench testing, (3) to develop and optimize an automated device-tissue interface platform and to minimize sources of systematic and random errors at the device-tissue interface, and (4) to test the miniature spectral imaging device for the detection of margin positivity in approximately 150 patients undergoing BCS. The proposed clinical studies will serve as an important basis for larger scale successor clinical studies. It is theorized that the miniature optical spectral imaging system developed and tested in this BRP grant will result in a practical clinical tool for rapid intra- operative assessment of breast tumor margins, i.e., it will help guide the surgeon to either complete the surgery, if margins are negative, or re-excise additional tissue, if margins are positive at the time of first surgery, thus avoiding an un-necessary re-excision. The implications are significant in that tens of thousands of unnecessary surgeries could be prevented each year. The technology proposed in this research could also be extended to the assessment of tumor margins in patients with other types of cancers, including the brain, prostate and head and neck. This novel technology also has the potential to serve as a low cost solution for global cancer diagnostics. PUBLIC HEALTH RELEVANCE: Our long-term scientific aim is to develop and apply a novel optical strategy for intra-operative assessment of breast tumor margins. The technology we propose to develop will be pragmatically designed and refined for use in an intra-operative setting. A tool for intra-operative margin assessment is significantly relevant to public in that it will contribute to a decrease in re-excision surgeries in patients with breast cancer.
描述(由申请人提供):美国癌症协会估计,每年总共诊断出 192,370 例新的浸润性乳腺癌和 62,280 例新的原位乳腺癌病例。患有可手术乳腺癌的女性接受保乳手术 (BCS),也称为乳房肿瘤切除术或部分乳房切除术。平均 50% 至 75% 的乳腺癌患者接受 BCS,然后进行放射治疗。由于第一次 BCS 时癌症未完全切除,大约 20-70% 接受 BCS 的女性必须返回重复手术。对于术中评估乳腺肿瘤边缘的快速实用工具的需求尚未得到满足。该 BRP 的总体目标是将杜克大学和威斯康星大学麦迪逊分校的多名研究人员聚集在一起,开发和验证微型光谱成像策略,用于对接受 BCS 的患者肿瘤边缘进行术中成像。实现这一目标需要光学物理和工程方面的重大创新,并将利用薄膜探测器、波导和板载电子设备的进步。拟议工作的具体目标是:(1)设计、构建和完善用于定量光学光谱成像的微型光谱成像设备和软件,(2)通过严格的台架测试验证光谱成像技术的性能指标,(3)开发和优化自动化设备-组织界面平台,并最大限度地减少设备-组织界面的系统和随机误差源,以及 (4) 测试微型光谱成像设备,以检测大约 150 名接受 BCS 的患者的边缘阳性率。拟议的临床研究将作为更大规模的后续临床研究的重要基础。理论上,在本次 BRP 拨款中开发和测试的微型光谱成像系统将成为一种实用的临床工具,用于快速术中评估乳腺肿瘤边缘,也就是说,它将有助于指导外科医生完成手术,如果如果第一次手术时切缘呈阳性,则切缘呈阴性,或者重新切除额外的组织,从而避免不必要的重新切除。其意义重大,因为每年可以避免数以万计的不必要的手术。这项研究提出的技术还可以扩展到其他类型癌症患者的肿瘤边缘评估,包括脑癌、前列腺癌和头颈癌。这项新技术还有潜力成为全球癌症诊断的低成本解决方案。 公共健康相关性:我们的长期科学目标是开发和应用一种新颖的光学策略来术中评估乳腺肿瘤边缘。我们建议开发的技术将经过务实的设计和完善,以供在术中使用。术中切缘评估工具与公众密切相关,因为它将有助于减少乳腺癌患者的再次切除手术。

项目成果

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Nirmala Ramanujam其他文献

Nirmala Ramanujam的其他文献

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{{ truncateString('Nirmala Ramanujam', 18)}}的其他基金

A novel strategy to see and treat breast cancer: translation to intra-operative breast margin assessment
观察和治疗乳腺癌的新策略:转化为术中乳房边缘评估
  • 批准号:
    9387262
  • 财政年份:
    2017
  • 资助金额:
    $ 92.06万
  • 项目类别:
Culturally appropriate screening and diagnosis of cervical cancer in East Africa
东非文化上适宜的宫颈癌筛查和诊断
  • 批准号:
    8864360
  • 财政年份:
    2015
  • 资助金额:
    $ 92.06万
  • 项目类别:
Culturally appropriate screening and diagnosis of cervical cancer in East Africa
东非文化上适宜的宫颈癌筛查和诊断
  • 批准号:
    9109589
  • 财政年份:
    2015
  • 资助金额:
    $ 92.06万
  • 项目类别:
A Viable Solution for a See and Treat Paradigm for Cervical Pre-cancer in Africa
非洲宫颈癌前病变“即见即治”模式的可行解决方案
  • 批准号:
    8882726
  • 财政年份:
    2015
  • 资助金额:
    $ 92.06万
  • 项目类别:
Culturally appropriate screening and diagnosis of cervical cancer in East Africa
东非文化上适宜的宫颈癌筛查和诊断
  • 批准号:
    9322308
  • 财政年份:
    2015
  • 资助金额:
    $ 92.06万
  • 项目类别:
A Viable Solution for a See and Treat Paradigm for Cervical Pre-cancer in Africa
非洲宫颈癌前病变“即见即治”模式的可行解决方案
  • 批准号:
    9302705
  • 财政年份:
    2015
  • 资助金额:
    $ 92.06万
  • 项目类别:
A Quantitative Optical Sensor to Monitor Pre-Clinical Tumor Vascular Physiology
用于监测临床前肿瘤血管生理学的定量光学传感器
  • 批准号:
    8652715
  • 财政年份:
    2013
  • 资助金额:
    $ 92.06万
  • 项目类别:
A Quantitative Optical Sensor to Monitor Pre-Clinical Tumor Vascular Physiology
用于监测临床前肿瘤血管生理学的定量光学传感器
  • 批准号:
    8313363
  • 财政年份:
    2012
  • 资助金额:
    $ 92.06万
  • 项目类别:
Smart Optical Sensor for Detection of Cervical Cancer In the Developing World
用于发展中国家宫颈癌检测的智能光学传感器
  • 批准号:
    8204324
  • 财政年份:
    2011
  • 资助金额:
    $ 92.06万
  • 项目类别:
A Novel Optical Spectral Imaging System for Rapid Imaging of Breast Tumor Margins
一种用于乳腺肿瘤边缘快速成像的新型光谱成像系统
  • 批准号:
    8443832
  • 财政年份:
    2011
  • 资助金额:
    $ 92.06万
  • 项目类别:

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由聊天机器人驱动的 G8 筛查干预措施,有助于将患有癌症的老年人转介到进行全面的老年评估
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