Intraoperative Raman spectroscopy of soft tissue sarcomas.
Intraoperative Raman spectroscopy of soft tissue sarcomas.
复制标题
软组织肉瘤的术中拉曼光谱。
DOI：
10.1002/lsm.22564
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发表时间：
2016
影响因子：
2.4
通讯作者：
Mahadevan-Jansen,Anita
中科院分区：
文献类型：
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作者：
Nguyen,JohnQ;Gowani,ZainS;O'Connor,Maggie;Pence,IsaacJ;Nguyen,The-Quyen;Holt,GingerE;Schwartz,HerbertS;Halpern,JenniferL;Mahadevan-Jansen,Anita
背景和目的软组织肉瘤（STS）是一组罕见且异质性的恶性肿瘤，通常通过手术切除进行治疗。目前的术中切缘评估方法有限，突出需要在时间和特异性方面改进方法。在这里，我们研究了近红外拉曼光谱在术中区分 STS 与周围正常组织的潜力。材料和方法在 785 nm 激发下的体内拉曼测量是在术中使用基于探针的光谱系统从接受 STS 切除的受试者身上获得的。开发了一种多变量分类算法，以便自动识别可用于区分 STS 与周围正常肌肉和脂肪的光谱特征。随后使用留一受试者交叉验证对分类算法进行测试。结果在排除分化良好的脂肪肉瘤的情况下，该算法能够将 STS 与周围正常肌肉和脂肪进行分类，灵敏度和特异性分别为 89.5% 和 96.4%。结论这些结果表明单点近红外拉曼光谱 光谱学可以用作快速、无损的手术指导工具，用于识别需要进一步切除的异常组织边缘。激光外科。医学。 48:774–781，2016 年。© 2016 Wiley periodicals, Inc.
Background and ObjectiveSoft tissue sarcomas (STS) are a rare and heterogeneous group of malignant tumors that are often treated through surgical resection. Current intraoperative margin assessment methods are limited and highlight the need for an improved approach with respect to time and specificity. Here we investigate the potential of near‐infrared Raman spectroscopy for the intraoperative differentiation of STS from surrounding normal tissue.Materials and MethodsIn vivo Raman measurements at 785 nm excitation were intraoperatively acquired from subjects undergoing STS resection using a probe based spectroscopy system. A multivariate classification algorithm was developed in order to automatically identify spectral features that can be used to differentiate STS from the surrounding normal muscle and fat. The classification algorithm was subsequently tested using leave‐one‐subject‐out cross‐validation.ResultsWith the exclusion of well‐differentiated liposarcomas, the algorithm was able to classify STS from the surrounding normal muscle and fat with a sensitivity and specificity of 89.5% and 96.4%, respectively.ConclusionThese results suggest that single point near‐infrared Raman spectroscopy could be utilized as a rapid and non‐destructive surgical guidance tool for identifying abnormal tissue margins in need of further excision. Lasers Surg. Med. 48:774–781, 2016. © 2016 Wiley Periodicals, Inc.