Haka Abigail S, Volynskaya Zoya, Gardecki Joseph A, Nazemi Jon, Lyons Joanne, Hicks David, Fitzmaurice Maryann, Dasari Ramachandra R, Crowe Joseph P, Feld Michael S
George R. Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
Cancer Res. 2006 Mar 15;66(6):3317-22. doi: 10.1158/0008-5472.CAN-05-2815.
We present the first demonstration of in vivo collection of Raman spectra of breast tissue. Raman spectroscopy, which analyzes molecular vibrations, is a promising new technique for the diagnosis of breast cancer. We have collected 31 Raman spectra from nine patients undergoing partial mastectomy procedures to show the feasibility of in vivo Raman spectroscopy for intraoperative margin assessment. The data was fit with an established model, resulting in spectral-based tissue characterization in only 1 second. Application of our previously developed diagnostic algorithm resulted in perfect sensitivity and specificity for distinguishing cancerous from normal and benign tissues in our small data set. Significantly, we have detected a grossly invisible cancer that, upon pathologic review, required the patient to undergo a second surgical procedure. Had Raman spectroscopy been used in a real-time fashion to guide tissue excision during the procedure, the additional reexcision surgery might have been avoided. These preliminary findings suggest that Raman spectroscopy has the potential to lessen the need for reexcision surgeries resulting from positive margins and thereby reduce the recurrence rate of breast cancer following partial mastectomy surgeries.
我们展示了首次对乳腺组织进行体内拉曼光谱采集的实例。拉曼光谱通过分析分子振动，是一种用于乳腺癌诊断的很有前景的新技术。我们从9名接受部分乳房切除术的患者身上采集了31条拉曼光谱，以证明体内拉曼光谱用于术中切缘评估的可行性。数据与一个既定模型拟合，仅需1秒即可实现基于光谱的组织表征。应用我们之前开发的诊断算法，在我们的小数据集中，区分癌组织与正常及良性组织的灵敏度和特异性均达到了完美。值得注意的是，我们检测到了一个肉眼不可见的癌症，经病理检查，该患者需要接受第二次手术。如果在手术过程中实时使用拉曼光谱来指导组织切除，或许可以避免额外的再次切除手术。这些初步发现表明，拉曼光谱有潜力减少因切缘阳性导致的再次切除手术需求，从而降低部分乳房切除术后乳腺癌的复发率。
