激光与光电子学进展, 2017, 54 (11): 111701, 网络出版: 2017-11-17   

拉曼光谱诊断喉癌的初步探究 下载: 532次

Preliminary Exploration on Diagnosis of Laryngeal Carcinoma Based on Raman Spectroscopy
康竞 1,2罗昰 1,2何剑 1,2吴平 1,2徐婧 1,2方兴 1,2王芸芸 1,2张帅 1,2唐瑶云 1,2,*
作者单位
1 中南大学湘雅医院耳鼻咽喉头颈外科, 湖南 长沙 410008
2 中南大学湘雅医院耳鼻咽喉重大疾病研究所湖南省重点实验室, 湖南 长沙 410008
摘要
为了比较喉癌组织及癌旁组织拉曼光谱的差别,得出其各自的特点和规律,建立了喉癌诊断模型;收集2014年10月-2015年8月在中南大学湘雅医院耳鼻咽喉头颈外科进行手术切除的54例喉癌样本和56例癌旁样本,样本统一处理后进行拉曼光谱检测,收集原始光谱数据进行预处理和统计学分析。结果表明:喉癌组织比癌旁组织的的平均拉曼光谱强度更大,且喉癌组织存在稳定的拉曼峰群;喉癌组与癌旁组的t检验结果显示,在波数为150~1859 cm-1、1864~1872 cm-1、1890~1898.5 cm-1、1900~1924 cm-1、1964~1968 cm-1、1993~1998.5 cm-1和2010.5~3476 cm-1的波段内,两组样本有统计学差异(显著性水平p<0.05);利用主成分分析-线性判别分析(PCA-LDA)法选取差异波段进行分析,提取3个显著性差异主成分,将其作为LDA的输入,计算判别函数系数,并建立判别模型,判别模型对样本的预测具有较好的特异度和灵敏度,分别为80.4%和87.0%;利用受试者工作特征(ROC)曲线法对喉癌诊断模型进行评价,曲线下面积为0.877;喉癌组织和癌旁组织的拉曼光谱存在较明显且稳定的差异,利用多元统计分析的方法建立的判别模型具有较好的可靠性;拉曼光谱具有在分子水平上为喉癌提供无损、实时诊断与检测的潜能。
Abstract
To compare laryngeal carcinoma tissues and pericarcinous tissues in Raman spectrogram to obtain their respective features and patterns, we establish a diagnose model for laryngeal carcinoma. A total of 110 samples including 54 laryngeal carcinoma samples and 56 pericarcinous samples are acquired from patients undergoing laryngectomy from October 2014 to August 2015 in otolaryngology, head & neck surgery of Xiangya hospital of central south university. All of the samples are processed by the accordant method before Roman spectrum detection. Original data are collected for pretreatment and statistical analysis. The results show that the average Roman spectrum intensity of the laryngeal carcinoma tissues is greater than that of the pericarcinous tissues, and the laryngeal carcinoma tissues have stable Roman peak groups. Statistical difference of the two groups of samples are verified through student′s t-test in bands with wave numbers of 150-1859 cm-1, 1864-1872cm-1, 1890-1898.5 cm-1, 1900-1924 cm-1, 1964-1968 cm-1, 1993-1998.5 cm-1, and 2010.5-3476 cm-1(significance level p<0.05). Three principal components are extracted with the help of analysis of the significant wave numbers using principal components analysis-linear discriminant analysis (PCA-LDA). Using them as inputs of LDA, we calculate discriminant function coefficient and establish a discriminant model. The discriminant model has better specificity of 80.4% and sensitivity of 87.0% for sample prediction. The laryngeal carcinoma diagnose model is evaluated by received operator characteristic (ROC) curve method, and the value of area under the curve (AUC) is 0.877. There are remarkable and stable differences between the laryngeal carcinoma tissues and the pericarcinous tissues. The discriminant model established by the method of multivariate statistical analysis has better reliability. This study demonstrates that Raman spectroscopy has the potential for the noninvasive, real-time diagnosis and detection of laryngeal carcinoma at the molecular level.

康竞, 罗昰, 何剑, 吴平, 徐婧, 方兴, 王芸芸, 张帅, 唐瑶云. 拉曼光谱诊断喉癌的初步探究[J]. 激光与光电子学进展, 2017, 54(11): 111701. Kang Jing, Luo Shi, He Jian, Wu Ping, Xu Jing, Fang Xing, Wang Yunyun, Zhang Shuai, Tang Yaoyun. Preliminary Exploration on Diagnosis of Laryngeal Carcinoma Based on Raman Spectroscopy[J]. Laser & Optoelectronics Progress, 2017, 54(11): 111701.

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