人肺组织与肺癌组织FTIR光谱的统计分析

FTIR Spectroscopic and Statistical Studies on the Lung Tissues

本文应用统计方法分析了人肺正常组织和肺癌组织的FTIR光谱 ,选择光谱谱型参数 ;峰位、峰高、峰位差、峰高比进行比较分析 ,发现有多个变量可以显示两类光谱的差异 ,选择峰高比参数建立了Logistic预测方程为光谱的应用进行了探索。结果表明可以借助数学方法对组织光谱进行数据转换和分析 ,为了研究大量的组织光谱提供思路。

This work is related to a project of interdisciplinary research on cancerous diagnosis using FTIR spectroscopy. Results indicated that distinct differences exist between normal tissues and cancerous ones. How can diagnoses benefit from these data? Here, we suggested a method based on FTIR spectroscopy and statistics. FTIR spectra of the normal tissues and cancesous lung tissues were analyzed by statistical method. Four spectral parameters, such as peak intensity, peak position, band shift and peak intensity ratio were utilized for comparing normal and malignant tissues. These resulting spectra were analyzed with Logistic prognostication equation. The results suggested that FTIR spectral technique has the potential to be developed as a clinical diagnostic method.