Vanderbilt University, Department of Biomedical Engineering, Nashville, Tennessee 37235, USA.
J Biomed Opt. 2011 Jul;16(7):077006. doi: 10.1117/1.3600708.
The risk of local recurrence for breast cancers is strongly correlated with the presence of a tumor within 1 to 2 mm of the surgical margin on the excised specimen. Previous experimental and theoretical results suggest that spatially offset Raman spectroscopy (SORS) holds much promise for intraoperative margin analysis. Based on simulation predictions for signal-to-noise ratio differences among varying spatial offsets, a SORS probe with multiple source-detector offsets was designed and tested. It was then employed to acquire spectra from 35 frozen-thawed breast tissue samples in vitro. Spectra from each detector ring were averaged to create a composite spectrum with biochemical information covering the entire range from the tissue surface to ∼2 mm below the surface, and a probabilistic classification scheme was used to classify these composite spectra as "negative" or "positive" margins. This discrimination was performed with 95% sensitivity and 100% specificity, or with 100% positive predictive value and 94% negative predictive value.
乳腺癌的局部复发风险与切除标本上手术切缘 1 至 2 毫米内的肿瘤存在密切相关。先前的实验和理论结果表明，空间偏移拉曼光谱（SORS）在术中边缘分析方面具有很大的应用前景。基于对不同空间偏移的信噪比差异的模拟预测，设计并测试了具有多个源-探测器偏移的 SORS 探头。然后将其用于从 35 个体外冷冻解冻的乳腺组织样本中获取光谱。对每个探测器环的光谱进行平均，以创建具有生化信息的复合光谱，该信息涵盖从组织表面到表面以下约 2 毫米的整个范围，并使用概率分类方案将这些复合光谱分类为“阴性”或“阳性”边缘。这种区分具有 95%的灵敏度和 100%的特异性，或具有 100%的阳性预测值和 94%的阴性预测值。
