Department of Electrical Engineering and Computer Science and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA.
Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA.
Lab Invest. 2018 Jan;98(1):150-160. doi: 10.1038/labinvest.2017.116. Epub 2017 Nov 13.
Up to 40% of patients undergoing breast conserving surgery for breast cancer require repeat surgeries due to close to or positive margins. The lengthy processing required for evaluating surgical margins by standard paraffin-embedded histology precludes its use during surgery and therefore, technologies for rapid evaluation of surgical pathology could improve the treatment of breast cancer by reducing the number of surgeries required. We demonstrate real-time histological evaluation of breast cancer surgical specimens by staining specimens with acridine orange (AO) and sulforhodamine 101 (SR101) analogously to hematoxylin and eosin (H&E) and then imaging the specimens with fluorescence nonlinear microscopy (NLM) using a compact femtosecond fiber laser. A video-rate computational light absorption model was used to produce realistic virtual H&E images of tissue in real time and in three dimensions. NLM imaging could be performed to depths of 100 μm below the tissue surface, which is important since many surgical specimens require subsurface evaluation due to contamination artifacts on the tissue surface from electrocautery, surgical ink, or debris from specimen handling. We validate this method by expert review of NLM images compared to formalin-fixed, paraffin-embedded (FFPE) H&E histology. Diagnostically important features such as normal terminal ductal lobular units, fibrous and adipose stromal parenchyma, inflammation, invasive carcinoma, and in situ lobular and ductal carcinoma were present in NLM images associated with pathologies identified on standard FFPE H&E histology. We demonstrate that AO and SR101 were extracted to undetectable levels after FFPE processing and fluorescence in situ hybridization (FISH) HER2 amplification status was unaffected by the NLM imaging protocol. This method potentially enables cost-effective, real-time histological guidance of surgical resections.
多达 40%的乳腺癌保乳手术患者因切缘接近或阳性而需要再次手术。标准石蜡包埋组织学评估手术切缘所需的冗长处理过程使其无法在手术中使用,因此,快速评估手术病理的技术可以通过减少所需手术次数来改善乳腺癌的治疗效果。我们通过用吖啶橙 (AO) 和磺基罗丹明 101 (SR101) 对乳腺癌手术标本进行染色,类似于对苏木精和伊红 (H&E) 的染色,然后使用紧凑型飞秒光纤激光通过荧光非线性显微镜 (NLM) 对标本进行成像,从而实现对乳腺癌手术标本的实时组织学评估。使用视频速率计算的光吸收模型实时生成组织的逼真虚拟 H&E 图像,并以三维方式生成。NLM 成像可以在组织表面以下 100 μm 的深度进行,这很重要,因为由于电烙、手术墨水或标本处理过程中的碎屑对组织表面造成的污染artifact,许多手术标本需要进行表面以下的评估。我们通过与福尔马林固定、石蜡包埋 (FFPE) H&E 组织学的 NLM 图像专家评估进行验证。在与标准 FFPE H&E 组织学确定的病理学相关的 NLM 图像中存在正常终末导管小叶单位、纤维和脂肪基质实质、炎症、浸润性癌以及原位小叶和导管癌等具有诊断意义的特征。我们证明,AO 和 SR101 在 FFPE 处理后被提取到无法检测的水平,并且荧光原位杂交 (FISH) HER2 扩增状态不受 NLM 成像协议的影响。该方法有可能实现具有成本效益的实时手术切除组织学指导。