Wang Jianfeng, Lin Kan, Zheng Wei, Ho Khek Yu, Teh Ming, Yeoh Khay Guan, Huang Zhiwei
Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore 117576.
Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore 119260.
Sci Rep. 2015 Aug 5;5:12957. doi: 10.1038/srep12957.
This work aims to evaluate clinical value of a fiber-optic Raman spectroscopy technique developed for in vivo diagnosis of esophageal squamous cell carcinoma (ESCC) during clinical endoscopy. We have developed a rapid fiber-optic Raman endoscopic system capable of simultaneously acquiring both fingerprint (FP)(800-1800 cm(-1)) and high-wavenumber (HW)(2800-3600 cm(-1)) Raman spectra from esophageal tissue in vivo. A total of 1172 in vivo FP/HW Raman spectra were acquired from 48 esophageal patients undergoing endoscopic examination. The total Raman dataset was split into two parts: 80% for training; while 20% for testing. Partial least squares-discriminant analysis (PLS-DA) and leave-one patient-out, cross validation (LOPCV) were implemented on training dataset to develop diagnostic algorithms for tissue classification. PLS-DA-LOPCV shows that simultaneous FP/HW Raman spectroscopy on training dataset provides a diagnostic sensitivity of 97.0% and specificity of 97.4% for ESCC classification. Further, the diagnostic algorithm applied to the independent testing dataset based on simultaneous FP/HW Raman technique gives a predictive diagnostic sensitivity of 92.7% and specificity of 93.6% for ESCC identification, which is superior to either FP or HW Raman technique alone. This work demonstrates that the simultaneous FP/HW fiber-optic Raman spectroscopy technique improves real-time in vivo diagnosis of esophageal neoplasia at endoscopy.
这项工作旨在评估一种为临床内镜检查中食管鳞状细胞癌(ESCC)的体内诊断而开发的光纤拉曼光谱技术的临床价值。我们开发了一种快速光纤拉曼内镜系统,能够在体内同时获取食管组织的指纹(FP)(800 - 1800 cm⁻¹)和高波数(HW)(2800 - 3600 cm⁻¹)拉曼光谱。从48名接受内镜检查的食管患者身上共获取了1172条体内FP/HW拉曼光谱。总的拉曼数据集被分为两部分:80%用于训练;20%用于测试。对训练数据集实施偏最小二乘判别分析(PLS - DA)和留一患者交叉验证(LOPCV),以开发用于组织分类的诊断算法。PLS - DA - LOPCV表明,在训练数据集上同时进行FP/HW拉曼光谱分析对ESCC分类的诊断敏感性为97.0%,特异性为97.4%。此外,基于同时进行的FP/HW拉曼技术应用于独立测试数据集的诊断算法,对ESCC识别的预测诊断敏感性为92.7%,特异性为93.6%,优于单独使用FP或HW拉曼技术。这项工作表明,同时进行的FP/HW光纤拉曼光谱技术提高了内镜检查中食管肿瘤的实时体内诊断能力。