IN VIVO CLINICAL RAMAN SPECTROSCOPY OF BREAST CANCER

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。次级项目的主要支助 子项目的主要研究者可能是由其他来源提供的， 包括其它NIH来源。 为子项目列出的总成本可能 表示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。 来自新鲜冷冻组织的先前结果已经证明，拉曼光谱准确地对乳腺病变进行分类，并支持将该技术转移到临床环境中，以进一步研究其在乳腺癌诊断中的功效。因此，我们进行了临床研究。我们在克利夫兰临床基金会的手术室收集了9名接受部分乳房切除术和乳房切除术的患者的拉曼光谱数据。本研究的主要目标是使用先前开发并前瞻性验证的化学形态学算法实时检测边缘状态。

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.