IN VIVO CLINICAL RAMAN SPECTROSCOPY OF BREAST CANCER

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。 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. 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.