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宫颈正常与宫颈癌组织傅里叶变换红外光谱的初步研究
引用本文:李炜修,郑全庆,王平,李燕琴,陈广华.宫颈正常与宫颈癌组织傅里叶变换红外光谱的初步研究[J].光谱学与光谱分析,2006,26(10):1833-1837.
作者姓名:李炜修  郑全庆  王平  李燕琴  陈广华
作者单位:1. 西安交通大学医学院 ,陕西 西安 710061
2. 陕西省肿瘤医院妇瘤科,陕西 西安 710061
基金项目:陕西省西安市科技攻关项目
摘    要:利用傅里叶变换红外光谱对宫颈鳞癌(17例)、宫颈腺癌(5例)及宫颈正常组织(13例)进行了分析。结果显示,18个谱带在各类组织中的出现概率都在80%以上,显示其在组织中的特征性;这3类组织红外光谱的相对吸收峰吸光度差异主要表现在1 080,1 238,1 314,1 339,1 397,1 454,1 541,1 647,2 854, 2 873,2 926和2 958 cm-1处的比较上。傅里叶变换红外光谱仪可用于区分宫颈鳞癌、腺癌及宫颈正常组织,以该仪器为基础的方法有望成为宫颈癌筛检及临床诊断的新方法。

关 键 词:傅里叶变换红外光谱(FTIR)  肿瘤组织  
文章编号:1000-0593(2006)10-1833-05
收稿时间:2005-08-31
修稿时间:2005-11-12

Fourier Transform Infrared Spectroscopy Study on Normal and Malignant Tissues of Cervix
LI Wei-xiu,ZHENG Quan-qing,WANG Ping,LI Yan-qin,CHEN Guang-hua.Fourier Transform Infrared Spectroscopy Study on Normal and Malignant Tissues of Cervix[J].Spectroscopy and Spectral Analysis,2006,26(10):1833-1837.
Authors:LI Wei-xiu  ZHENG Quan-qing  WANG Ping  LI Yan-qin  CHEN Guang-hua
Institution:1. Medical College of Xi’an Jiaotong University, Xi’an 710061, China2. Department of Gynecologic Oncology, Cancer Hospital of Shaanxi Province, Xi’an 710061, China
Abstract:Fourier transform infrared spectroscopy(FTIR) was used to investigate 35 cervical tissues,including 17 squamous cell carcinoma of cervical samples,and 5 adenocarcinoma of cervical samples,13 normal cervical samples.The results show that there are 18 spectral bands with highly appearance percentage(>80%)in these three types of tissues,and these spectral bands may be the characteristic infrared spectra bands for cervical tissues;Some of relative absorbance ratios are statistically significant(p<0.05) among these three types of tissues.These differences of relative absorbance ratios are mainly centered at 1 080,(1 238,) 1 314,1 339,1 397,1 454,1 541,1 647,2 854,2 873,2 926,and 2 958 cm~(-1).The present results indicate that FTIR can be used to distinguish these three types of tissues.The utilization of FTIR spectra in cervical tissues is expected to be a hopeful method in cervical cancer screening and clinical diagnosis in the future.
Keywords:FTIR spectra  Tumor tissues
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