EX 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。 我们利用拉曼光谱对新鲜切除组织的正常、两种类型的良性病变和恶性病变进行了诊断，取得了很好的结果。因此，这项研究支持将该技术转移到临床环境中，以进一步测试其在乳腺癌诊断中的有效性。因此，我们进行了临床研究。我们收集了克利夫兰大学医院病理研究室的数据，通常是在部分和全乳房切除术后半小时内。这项研究的主要目的是在模拟活体环境的大型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。另一项临床研究也在计划中。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的病理，如导管原位癌和微钙化。

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. 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.