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

Yin Lijian; Rao Yunjiang; Dai Jianhua; Ran Zengling; Li Zhuoyue; Chen Yao; Peng Guiyong

doi:10.12086/oee.2019.180645

Article navigation > Opto-Electronic Engineering > 2019 Vol. 46 > No. 4 > 180645

Next Article Previous Article

Yin Lijian, Rao Yunjiang, Dai Jianhua, et al. A feasibility study of using fiber-optic Raman spectrum system for fast diagnosis of gastric cancer[J]. Opto-Electronic Engineering, 2019, 46(4): 180645. doi: 10.12086/oee.2019.180645

Citation:

Yin Lijian, Rao Yunjiang, Dai Jianhua, et al. A feasibility study of using fiber-optic Raman spectrum system for fast diagnosis of gastric cancer[J]. Opto-Electronic Engineering, 2019, 46(4): 180645. doi: 10.12086/oee.2019.180645

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

1.
Institute of Digestive Disease, Southwest Hospital, Army Medical University, Chongqing 400038, China
2.
Fiber Optics Research Center, Key Laboratory of Optical Fiber Sensing & Communications (Ministry of Education), University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China

Fund Project: Supported by Social Undertakings and The People's Livelihood Security Special Science and Technology Innovation Fund (cstc2015shmszx10017)

More Information

Corresponding author: Peng Guiyong, E-mail: pgy63@163.com

Received Date 10 December 2018

Revised Date 24 January 2019

Published Date 01 April 2019

Abstract

Abstract

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%).
- optical fiber /
- Raman spectrum /
- gastric cancer /
- diagnosis

FullText(HTML)

References

[1]	Chen W Q, Zheng R S, Baade P D, et al. Cancer statistics in China, 2015[J]. CA:A Cancer Journal for Clinicians, 2016, 66(2):115-132. doi: 10.3322/caac.21338 CrossRef Google Scholar
[2]	Venerito M, Vasapolli R, Rokkas T, et al. Gastric cancer:epidemiology, prevention, and therapy[J]. Helicobacter, 2018, 23(S1):e12518. Google Scholar
[3]	Strong V E, Wu A, Selby L V, et al. Differences in gastric cancer survival between the U.S. and China[J]. Journal of Surgical Oncology, 2015, 112(1):31-37. doi: 10.1002/jso.23940 CrossRef Google Scholar
[4]	Menon S, Trudgill N. How commonly is upper gastrointestinal cancer missed at endoscopy? A meta-analysis[J]. Endoscopy International Open, 2014, 2(2):E46-E50. doi: 10.1055/s-00025476 CrossRef Google Scholar
[5]	Song Z Y, Wu Y Y, Yang J B, et al. Progress in the treatment of advanced gastric cancer[J]. Tumor Biology, 2017, 39(7):1-7. doi: 10.1177/1010428317714626 CrossRef Google Scholar
[6]	Kato M, Nishida T, Yamamoto K, et al. Scheduled endoscopic surveillance controls secondary cancer after curative endoscopic resection for early gastric cancer:a multicentre retrospective cohort study by Osaka University ESD study group[J]. Gut, 2013, 62(10):1425-1432. doi: 10.1136/gutjnl-2011-301647 CrossRef Google Scholar
[7]	Tsurudome I, Miyahara R, Funasaka K, et al. In vivo histological diagnosis for gastric cancer using endocytoscopy[J]. World Journal of Gastroenterology, 2017, 23(37):6894-6901. doi: 10.3748/wjg.v23.i37.6894 CrossRef Google Scholar
[8]	杨序纲吴琪琳.拉曼光谱的分析与应用[M].北京:国防工业出版社, 2008:267-273. Google Scholar Yang X G, Wu Q L. Raman Spectroscopy Analysis and Application[M]. Beijing:National Defense Industry Press, 2008:267-273. Google Scholar
[9]	Almond L M, Hutchings J C, Kendall C A, et al. Assessment of a custom-built Raman spectroscopic probe for diagnosis of early oesophageal neoplasia[J]. Journal of Biomedical Optics, 2012, 17(8):081421. doi: 10.1117/1.JBO.17.8.081421 CrossRef Google Scholar
[10]	Jermyn M, Mok K, Mercier J, et al. Intraoperative brain cancer detection with Raman spectroscopy in humans[J]. Science Translational Medicine, 2015, 7(274):274ra19. doi: 10.1126/scitranslmed.aaa2384 CrossRef Google Scholar
[11]	Teh S K, Zheng W, Ho K Y, et al. Diagnostic potential of near-infrared Raman spectroscopy in the stomach:differentiating dysplasia from normal tissue[J]. British Journal of Cancer, 2008, 98(2):457-465. doi: 10.1038/sj.bjc.6604176 CrossRef Google Scholar
[12]	Huang Z, McWilliams A, Lui H, et al. Near-infrared Raman spectroscopy for optical diagnosis of lung cancer[J]. International Journal of Cancer, 2003, 107(6):1047-1052. doi: 10.1002/(ISSN)1097-0215 CrossRef Google Scholar
[13]	Petersen D, Naveed P, Ragheb A, et al. Raman fiber-optical method for colon cancer detection:cross-validation and outlier identification approach[J]. Spectrochimica Acta Part A:Molecular and Biomolecular Spectroscopy, 2017, 181:270-275. doi: 10.1016/j.saa.2017.03.054 CrossRef Google Scholar
[14]	Zhao J H, Zeng H S, Kalia S, et al. Using Raman spectroscopy to detect and diagnose skin cancer in vivo[J]. Dermatologic Clinics, 2017, 35(4):495-504. doi: 10.1016/j.det.2017.06.010 CrossRef Google Scholar
[15]	褚小立.化学计量学方法与分子光谱分析技术[M].北京:化学工业出版社, 2011:41-48. Google Scholar Chu X L. Molecular Spectroscopy Analytical Technology Combined with Chemometrics and its Applications[M]. Beijing:Chemical Industry Press, 2011:41-48. Google Scholar
[16]	Naumann D. Ft-infrared and Ft-Raman spectroscopy in biomedical research[J]. Applied Spectroscopy Reviews, 2001, 36(2-3):239-298. doi: 10.1081/ASR-100106157 CrossRef Google Scholar
[17]	Omberg K M, Osborn J C, Zhang S L, et al. Raman spectroscopy and factor analysis of tumorigenic and non-tumorigenic cells[J]. Applied Spectroscopy, 2002, 56(7):813-819. doi: 10.1366/000370202760171464 CrossRef Google Scholar
[18]	Boyd A R, McManus L L, Burke G A, et al. Raman spectroscopy of primary bovine aortic endothelial cells:a comparison of single cell and cell cluster analysis[J]. Journal of Materials Science:Materials in Medicine, 2011, 22(8):1923-1930. doi: 10.1007/s10856-011-4371-y CrossRef Google Scholar
[19]	Zhou X Q, Dai J H, Chen Y, et al. Evaluation of the diagnostic potential of ex vivo Raman spectroscopy in gastric cancers:fingerprint versus high wavenumber[J]. Journal of Biomedical Optics, 2016, 21(10):105002. doi: 10.1117/1.JBO.21.10.105002 CrossRef Google Scholar
[20]	Chen Y, Dai J H, Zhou X Q, et al. Raman spectroscopy analysis of the biochemical characteristics of molecules associated with the malignant transformation of gastric mucosa[J]. PLoS One, 2014, 9(4):e93906. doi: 10.1371/journal.pone.0093906 CrossRef Google Scholar
[21]	金少琴, 毛华.近红外线激光拉曼光谱具有在分子水平诊断胃癌的价值[J].南方医科大学学报, 2014, 34(3):391-395. doi: 10.3969/j.issn.1673-4254.2014.03.21 CrossRef Google Scholar Jin S Q, Mao H. Near-infrared Raman spectroscopy for diagnosis of gastric cancer[J]. Journal of Southern Medical University, 2014, 34(3):391-395. doi: 10.3969/j.issn.1673-4254.2014.03.21 CrossRef Google Scholar
[22]	Lario S, Ramírez-Lázaro M J, Sanjuan-Herráez D, et al. Plasma sample based analysis of gastric cancer progression using targeted metabolomics[J]. Scientific Reports, 2017, 7:17774. doi: 10.1038/s41598-017-17921-x CrossRef Google Scholar
[23]	黄学梅, 吴立翔, 吕自兰, 等.尿液对羟基苯丙氨酸检测在恶性肿瘤早期预测中的应用价值[J].检验医学与临床, 2015, 12(16):2333-2335. doi: 10.3969/j.issn.1672-9455.2015.16.014 CrossRef Google Scholar Huang X M, Wu L X, Lv Z L, et al. Application value of urine hydroxyl phenylalanine in early predicting malignant tumor[J]. Laboratory Medicine and Clinic, 2015, 12(16):2333-2335. doi: 10.3969/j.issn.1672-9455.2015.16.014 CrossRef Google Scholar
[24]	Bergholt M S, Zheng Q, Ho K Y, et al. Fiberoptic confocal Raman spectroscopy for real-time in vivo diagnosis of dysplasia in Barrett's esophagus[J]. Gastroenterology, 2014, 146(1):27-32. doi: 10.1053/j.gastro.2013.11.002 CrossRef Google Scholar
[25]	Teh S K, Zheng W, Ho K Y, et al. Near-infrared Raman spectroscopy for gastric precancer diagnosis[J]. Journal of Raman Spectroscopy, 2009, 40(8):908-914. doi: 10.1002/jrs.v40:8 CrossRef Google Scholar
[26]	Widjaja E, Zheng W, Huang Z W. Classification of colonic tissues using near-infrared Raman spectroscopy and support vector machines[J]. International Journal of Oncology, 2008, 32(3):653-662. doi: 10.3892/ijo.32.3.653 CrossRef Google Scholar
[27]	Jermyn M, Desroches J, Mercier J, et al. Neural networks improve brain cancer detection with Raman spectroscopy in the presence of operating room light artifacts[J]. Journal of Biomedical Optics, 2016, 21(9):094002. doi: 10.1117/1.JBO.21.9.094002 CrossRef Google Scholar

Overview

Overview

Overview: Gastric cancer incidence and mortality is high in China. Because of the lack of specificity, the diagnosis accuracy of gastric cancer is not high. Raman spectroscopy is a kind of inelastic scattering spectroscopy based on molecular vibrations, which can provide specific information of structure and composition of tissue. Cancerous tissue can provide characteristic Raman spectra due to its composition content, structural changes. Raman spectroscopy is very suitable for the diagnosis of gastric cancer. Optical fiber Raman spectroscopy system can be used for real-time diagnosis of gastric cancer. The aim of this study was to structure a fiber Raman spectroscopy system matching the gastroscope and combining with the ratios of the spectral integral energy to diagnosis of gastric cancer fast. We used this system to collected 83 spectrum from 29 patients with biopsy examination, including 17 patients with gastric carcinoma and 12 patients with normal gastric mucosa (excitation wavelength of 785 nm light, power of 50 mW, the CCD temperature to 80 ℃, acquisition time 1 s). Original Raman spectrum contained the weak Raman spectrum of tissue itself we needed, the strong autofluorescence background and noise. By reducing the baseline to remove tissue autofluorescence background and using fast Fourier transform (FFT) to increase signal-to-noise ratio, the original Raman spectrum was preprocessed. And then we got the average spectrum of gastric cancer and normal stomach mucosa tissue respectively and analyzed the ownership of the typical Raman spectrum peak. After standardizing the average spectrum, we calculated the integral energy of Raman spectra. Raman spectrum and the ratio of integral energy from continuous band (1500 cm^-1~1700 cm^-1) and non-continuous band (1100 cm^-1~1200 cm^-1) were compared. 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%). Fiber Raman spectroscopy system applied in the clinical diagnosis of gastric cancer had a high value.