近红外光谱组合集成化学计量学模型的肠癌诊断方法研究

项目名称： 近红外光谱组合集成化学计量学模型的肠癌诊断方法研究

项目编号： No.21375118

项目类型： 面上项目

立项/批准年度： 2014

项目学科： 分析化学

项目作者： 谭超

作者单位： 宜宾学院

项目金额： 40万元

中文摘要： 大肠癌对人类健康威胁巨大，发病率和死亡率均较高，在某种程度上是由于目前仍缺乏一种具有高灵敏度和特异性的诊断方法，而灵敏度和特异性是诊断方法的关键指标，每提高一个百分点将有可能左右数万人的健康和生存质量，建立简单、快速和准确的检测方法对大肠癌的筛查和早期诊断具有重要的现实意义。本项目拟采用近红外光谱技术对人体大肠癌变组织、良性组织、正常组织进行光谱分析，探索各类组织的近红外分子光谱特征及其与生物分子基团的关联；并在我们近年来研究表明十分有效的集成框架下，辅以多分类支持向量机等化学计量学方法，力求建立初步的概率诊断模型、病例光谱数据库和大肠肿瘤光谱诊断基本框架。项目还将探索样本集划分、训练集规模影响、灵敏度和特异性折中处理等优化策略，有望推动近红外光谱技术成为大肠肿瘤自动检测和早期诊断的新方法。

中文关键词： 肠癌；诊断；红外光谱；分类模型；

英文摘要： In a sense, the incidence and mortality rates of colorectal cancers are relatively high, to some extent, which is due to the lack of a diagnostic method with high sensitivity and specificity. However, both the sensitivity and specificity of a diagnostic method are key indicators, which maybe decide the health and life quality of tens of thousands of people. Thus, establishing a simple, rapid and accurate detection method for diagnosing and screening early colorectal cancer has important practical significance. This project mainly focuses at analyzing the characteristics of near-infrared spectra related to human colorectal cancer tissue, benign tissue and normal tissue, and clarifying the relationship between the near-infrared spectroscopic characteristics and bimolecular groups of various types of organizations. Further, in the frame of ensemble that proves to be a very effective field in our recent researches, based on chemometric methods such as multi-class support vector machines, it is expected to construct the diagnosis model with an output probability, accompanied by a spectrum database of cases and a basic frame of diagnosing colorectal cancers. Moreover, the strategies of sample set partitioning, the effect of training set size and the compromise between sensitivity and specificity will be investigated,

英文关键词： colorectal cancer；diagnosis；near-infrared；classification model；