IN VIVO CLINICAL RAMAN SPECTROSCOPY OF BREAST CANCER

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 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。

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. 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.