IN VIVO CLINICAL RAMAN SPECTROSCOPY OF BREAST CANCER

乳腺癌体内临床拉曼光谱

• 批准号: 8364140
• 负责人: NARAHARA CHARI DINGARI
• 金额: $ 2.97万
• 依托单位: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-06-01 至 2012-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8364140
• 关键词: Algorithms; Biomedical Research; Clinic; Clinical; Clinical Research; Data; Foundations; Freezing; Funding; Goals; Grant; Investigation; Lasers; Mastectomy; National Center for Research Resources; Operative Surgical Procedures; Patients; Principal Investigator; Raman Spectrum Analysis; Research; Research Infrastructure; Resources; Source; Techniques; Tissues; United States National Institutes of Health; breast cancer diagnosis; breast lesion; cost; in vivo; malignant breast neoplasm; time use

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Previous results from fresh-frozen tissue has demonstrated that Raman spectroscopy accurately classifies breast lesions and supports moving this technique to a clinical setting for further investigation of its efficacy in breast cancer diagnosis. As a result, we pursued clinical study. We collected Raman spectroscopic data in the operative room of the Cleveland Clinic Foundation from 9 patients undergoing partial mastectomy and mastectomy surgery. The main goal of this study is to detect status of margins in real-time using previously developed and prospectively validated chemico-morphological algorithm.

这个子项目是利用资源的许多研究子项目之一。 由NIH/NCRR资助的中心拨款提供。对子项目的主要支持 子项目的首席调查员可能是由其他来源提供的， 包括美国国立卫生研究院的其他来源。为子项目列出的总成本可能 表示该子项目使用的中心基础设施的估计数量， 不是由NCRR赠款提供给次级项目或次级项目工作人员的直接资金。 先前来自新鲜冰冻组织的结果表明，拉曼光谱可以准确地对乳腺病变进行分类，并支持将该技术应用到临床环境中，以进一步研究其在乳腺癌诊断中的有效性。因此，我们进行了临床研究。我们在克利夫兰临床基金会的手术室收集了9例乳房部分切除和乳房切除手术患者的拉曼光谱数据。这项研究的主要目标是使用先前开发的和预期验证的化学形态算法来实时检测边缘状态。