MEASUREMENT OF TUMOR GRADE AND RECEPTOR STATUS WITH RAMAN SPECTROSCOPY

使用拉曼光谱测量肿瘤等级和受体状态

• 批准号: 8364141
• 负责人: ZOYA VOLYNSKAYA
• 金额: $ 0.74万
• 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/8364141
• 关键词: Algorithms; Biomedical Research; Clinical; Diagnostic; Funding; Grant; In Vitro; Lasers; Lesion; Measurement; Methods; National Center for Research Resources; Outcome; Principal Investigator; Raman Spectrum Analysis; Research; Research Infrastructure; Resources; Source; Time; United States National Institutes of Health; cost; in vivo; malignant breast neoplasm; outcome forecast; receptor; tumor

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. The diagnostic potential of Raman spectroscopy to detect breast cancer has been demonstrated in both in vitro, ex vivo and in vivo studies. The next step towards developing a comprehensive algorithm is to explore the feasibility of Raman spectroscopy as a real-time method for prediction of prognosis and ultimately clinical outcome. We will collect Raman spectra from breast cancer lesions and correlate spectral features with tumor grade and receptor status.

这个子项目是许多利用资源的研究子项目之一 由NIH/NCRR资助的中心拨款提供。子项目的主要支持 而子项目的主要调查员可能是由其他来源提供的， 包括其它NIH来源。 列出的子项目总成本可能 代表子项目使用的中心基础设施的估计数量， 而不是由NCRR赠款提供给子项目或子项目工作人员的直接资金。 拉曼光谱检测乳腺癌的诊断潜力已在体外、离体和体内研究中得到证实。开发综合算法的下一步是探索拉曼光谱作为预测预后和最终临床结果的实时方法的可行性。我们将收集乳腺癌病变的拉曼光谱，并将光谱特征与肿瘤分级和受体状态相关联。