基于拉曼光谱和多元统计分析技术的结肠癌早期诊断

罗舒文; 陈长水; CHEN Wei-dong

doi:10.3788/fgxb20133411.1544

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基于拉曼光谱和多元统计分析技术的结肠癌早期诊断

发光学应用及交叉前沿 | 更新时间：2020-08-12

- 基于拉曼光谱和多元统计分析技术的结肠癌早期诊断
- Early Diagnosis of Colon Cancer Using Raman Spectroscopy and Multivariate Statistical Analysis Techniques
- 发光学报 2013年34卷第11期页码：1544-1549
- 作者机构：
  
  1. 华南师范大学广东省微纳光子功能材料与器件重点实验室,广东广州,510006
  2. Universit&eacute re
  3. du Littoral C&ocirc
  4. te d'Opale, Dunkerque,France
  5. Laboratoire de Physicochimie de l'Atmosph&egrave
- 作者简介：
- 基金信息：
  
  国家自然科学基金(60878036)();广东省自然科技基金重点项目(10251063101000001,8251063101000006)资助()
- DOI：10.3788/fgxb20133411.1544
  中图分类号： Q631
- 收稿日期：2013-05-30，
  
  修回日期：2013-08-29，
  
  纸质出版日期：2013-11-10
- 稿件说明：
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罗舒文, 陈长水, CHEN Wei-dong. 基于拉曼光谱和多元统计分析技术的结肠癌早期诊断[J]. 发光学报, 2013,34(11): 1544-1549

LUO Shu-wen, CHEN Chang-shui, CHEN Wei-dong. Early Diagnosis of Colon Cancer Using Raman Spectroscopy and Multivariate Statistical Analysis Techniques[J]. Chinese Journal of Luminescence, 2013,34(11): 1544-1549
罗舒文, 陈长水, CHEN Wei-dong. 基于拉曼光谱和多元统计分析技术的结肠癌早期诊断[J]. 发光学报, 2013,34(11): 1544-1549 DOI： 10.3788/fgxb20133411.1544.

LUO Shu-wen, CHEN Chang-shui, CHEN Wei-dong. Early Diagnosis of Colon Cancer Using Raman Spectroscopy and Multivariate Statistical Analysis Techniques[J]. Chinese Journal of Luminescence, 2013,34(11): 1544-1549 DOI： 10.3788/fgxb20133411.1544.

摘要

为了寻找结肠癌的病理发展规律在拉曼光谱属性上的体现

采用共聚焦显微拉曼光谱仪对60例离体的正常结肠组织、腺瘤性息肉和腺癌组织的近红外拉曼光谱进行对比检测

初步探讨了三类组织的拉曼光谱特征及其改变的规律。结果表明:三类组织拉曼光谱的差异明显存在于830

855

1 032

1 210

1 323

1 335

1 445

1 450

1 655 cm

-1

处

腺瘤性息肉的光谱大体位于正常组织与腺癌组织之间。以组织病理诊断为金标准

主成分分析结合线性判别分析技术建立的诊断算法区分3类组织的灵敏度分别为96.9%、85.7%和97.3%

特异性分别为82.8%、90%和92.3%。因此

拉曼光谱有潜力在分子水平上区分正常结肠组织、腺瘤性息肉和腺癌组织

有望成为结肠癌早期诊断的一种有效方法。

Abstract

By using confocal Raman microspectrometer

near-infrared (NIR) Raman spectra from 60 cases of

ex vivo

normal

adenomatous polyp and adenocarcinoma colon tissues were obtained. To find the embodiment of the regularity of pathological development of colon cancer on Raman spectral characteristic

we analyzed and compared the Raman spectral properties of the three tissue types

and researched the regularity of spectra-related changes. The results show that significant differences in Raman spectra were observed among the three tissue types at around 830

855

1 032

1 210

1 323

1 335

1 445

1 450 and 1 655 cm

-1

. Overall

the spectra of adenomatous polyp was in the middle of the spectra of normal and adenocarcinoma colon tissues

which might illustrate that adenomatous polyp was in the transitional state. Principal component analysis (PCA) and linear discriminant analysis (LDA) were employed to develop diagnostic algorithms for classifying the Raman spectra of different types of colon tissues. Based on the gold standards of histopathologic diagnosis

sensitivities of 96.9%

85.7% and 97.3%

and specificities of 82.8%

90%

and 92.3%

respectively were achieved by using PCA-LDA algorithms to discriminate the normal

adenomatous polyp and adenocarcinoma colon tissues. Therefore

near-infrared Raman spectroscopy can not only be utilized to differentiate colon cancer tissues from normal tissues

but also be used for discriminating colon premalignant lesions in molecular level. It is a potential effective method for early diagnosis of colon cancer.

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Keywords

references

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