EX VIVO CLINICAL RAMAN SPECTROSCOPY OF BREAST CANCER

乳腺癌离体临床拉曼光谱

• 批准号: 8364139
• 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/8364139
• 关键词: Algorithms; Benign; Biomedical Research; Breast Microcalcification; Clinical; Clinical Research; Data; Data Set; Diagnosis; Diagnostic; Environment; Excision; Freezing; Funding; Goals; Grant; Hour; In Vitro; Lasers; Lesion; Malignant - descriptor; Mammary Gland Parenchyma; Mastectomy; National Center for Research Resources; Noninfiltrating Intraductal Carcinoma; Pathology; Principal Investigator; Raman Spectrum Analysis; Research; Research Infrastructure; Resources; Schedule; Source; Techniques; Testing; Tissues; United States National Institutes of Health; University Hospitals; breast cancer diagnosis; cost; in vivo; malignant breast neoplasm

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. We have demonstrated excellent results in diagnosing normal, two types of benign lesions and malignant lesions on freshly excised tissue using Raman spectroscopy. The study thus supported moving the technique to a clinical setting for further testing of its efficacy in breast cancer diagnosis. As a result, we pursued clinical study. We collected data in the University Hospitals of Cleveland pathology suite, typically within half an hour of excision during partial and whole mastectomy. The main goals of this study was to validate our in vitro diagnostic algorithm on a large data set which closely mimics an in vivo environment and to elucidate differences between the Raman spectra of fresh-frozen and fresh breast tissues. Another clinical study is scheduled. The main goal of this study is expanding our diagnostic algorithm to include pathologies not seen previously in our studies, such as ductal carcinoma in situ and microcalcifications.

该子项目是利用资源的众多研究子项目之一 由 NIH/NCRR 资助的中心拨款提供。子项目的主要支持 并且子项目的主要研究者可能是由其他来源提供的， 包括其他 NIH 来源。 子项目可能列出的总成本 代表子项目使用的中心基础设施的估计数量， NCRR 赠款不直接向子项目或子项目工作人员提供资金。 我们在使用拉曼光谱诊断新鲜切除的组织上的正常、两种良性病变和恶性病变方面取得了优异的结果。因此，该研究支持将该技术应用于临床，以进一步测试其在乳腺癌诊断中的功效。因此，我们进行了临床研究。我们在克利夫兰大学医院病理室收集数据，通常在部分和整个乳房切除术中切除后半小时内收集。这项研究的主要目标是在密切模拟体内环境的大数据集上验证我们的体外诊断算法，并阐明新鲜冷冻和新鲜乳腺组织的拉曼光谱之间的差异。另一项临床研究已安排。这项研究的主要目标是扩展我们的诊断算法，以包括以前在我们的研究中未见过的病理，例如导管原位癌和微钙化。