光纤拉曼光谱系统对胃癌的快速诊断的可行性研究

A feasibility study of using fiber-optic Raman spectrum system for fast diagnosis of gastric cancer

本文提出了一种能够与胃镜相匹配的光纤拉曼光谱系统和积分能量比相结合来快速诊断胃癌的方法。首先,采用光纤拉曼光谱系统对来自17例胃正常粘膜,12例胃腺癌粘膜的活检组织进行拉曼光谱检测(激发光波长785nm,功率50mW,CCD温度-80℃,采集时间1s)。然后,采用降低基线、快速傅里叶转化(FFT)平滑对拉曼原始光谱进行预处理。最后,根据拉曼谱图特征,分析了拉曼特征峰的归属,比较了胃正常和胃腺癌粘膜的拉曼光谱差异和连续频带内(1500cm^(-1)～1700cm^(-1))和非连续频带(1100cm^(-1)～1200cm^(-1))积分能量比。结果表明,胃腺癌粘膜位于1002cm^(-1)、1073cm^(-1)、1450cm^(-1)、1655cm^(-1)归属于苯丙氨酸和蛋白质的拉曼峰强度比正常粘膜相对增高,胃正常和胃腺癌粘膜在连续频带内和非连续频带积分能量差异明显(独立样本t检验,P<0.05),并以积分能量的比值来作为诊断指标,获得的准确度达到97.5%～98.5%,敏感度达到91.7%和特异度达到100.0%。

A method for fast diagnosing gastric cancer is proposed, by combining optical fiber Raman spectroscopy system matching the gastroscope with the ratios of the spectral integral energy. we complete the detecting of Raman spectra from 17 samples of normal gastric mucosa and 12 samples of gastric adenocarcinoma mucosa using the optical fiber Raman spectroscopy system(excitation wavelength of 785 nm light, power of 50 mW, the CCD temperature to 80 ℃, acquisition time 1 s). Then, the original Raman spectra were pretreated, through reducing the baseline and smoothing by fast Fourier transformation(FFT). Finally, according to the characters of Raman spectra,Raman characteristic peaks were analyzed. At the same time, we compared the ratio of integral energy of continuous band(1500 cm^-1~1700 cm^-1) and non-continuous band(1100 cm^-1~1200 cm^-1). The results show that the intensity of Raman peak of gastric adenocarcinoma at 1002 cm^-1、1073 cm^-1、1450 cm^-1、1655 cm^-1 belonging to phenylalanine and proteins are higher than that of normal mucosal relatively. From continuous band(1500 cm^-1~1700 cm^-1) and non-continuous band(1100 cm^-1~1200 cm^-1), the ratios of the spectral integral energy of gastric adenocarcinoma were different with normal mucosa markedly(independent samples t test, P<0.05), and with the ratio of the integral energy for use as a diagnostic index, obtained the higher accuracy(97.5%~98.5%), sensitivity(91.7%) and specific degrees(100.0%).