Gao Liang, Zhou Haijun, Thrall Michael J, Li Fuhai, Yang Yaliang, Wang Zhiyong, Luo Pengfei, Wong Kelvin K, Palapattu Ganesh S, Wong Stephen T C
Biomed Opt Express. 2011 Mar 18;2(4):915-26. doi: 10.1364/BOE.2.000915.
A custom built coherent anti-Stokes Raman scattering (CARS) microscope was used to image prostatic glands and nerve structures from 17 patients undergoing radical prostatectomy. Imaging of glandular and nerve structures showed distinctive cellular features that correlated to histological stains. Segmentation of cell nucleus was performed to establish a cell feature-based model to separate normal glands from cancer glands. In this study, we use a single parameter, average cell neighbor distance based on CARS imaging, to characterize normal and cancerous glandular structures. By combining CARS with our novel classification model, we are able to characterize prostate glandular and nerve structures in a manner that potentially enables real-time, intra-operative assessment of surgical margins and neurovascular bundles. As such, this method could potentially improve outcomes following radical prostatectomy.
使用一台定制的相干反斯托克斯拉曼散射（CARS）显微镜对17例接受根治性前列腺切除术患者的前列腺腺体和神经结构进行成像。腺体和神经结构成像显示出与组织学染色相关的独特细胞特征。进行细胞核分割以建立基于细胞特征的模型，将正常腺体与癌性腺体区分开来。在本研究中，我们使用基于CARS成像的单个参数——平均细胞邻近距离，来表征正常和癌性腺体结构。通过将CARS与我们的新型分类模型相结合，我们能够以一种潜在地实现手术切缘和神经血管束实时术中评估的方式来表征前列腺腺体和神经结构。因此，该方法可能会改善根治性前列腺切除术后的结果。
