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: 8170394
• 负责人: ZOYA VOLYNSKAYA
• 金额: $ 0.95万
• 依托单位: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-06-01 至 2011-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8170394
• 关键词: Algorithms; Clinical; Computer Retrieval of Information on Scientific Projects Database; Diagnostic; Funding; Grant; In Vitro; Institution; Lesion; Measurement; Methods; Outcome; Raman Spectrum Analysis; Research; Research Personnel; Resources; Source; Time; United States National Institutes of Health; 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. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. 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.

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 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。