光纤拉曼光谱系统对胃癌的快速诊断的可行性研究

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 785 nm, 功率 50 mW, CCD温度-80 ℃, 采集时间 1 s)。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(1500 cm-1～1700 cm-1)和非连续频带 (1100 cm-1～1200 cm-1)积分能量比。结果表明, 胃腺癌粘膜位于 1002 cm-1、 1073 cm-1、1450 cm-1、1655 cm-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%。

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 tem-perature 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 conti-nuous band (1500 cm-1~1700 cm-1) and non-continuous band (1100 cm-1~1200 cm-1). The results show that the in-tensity 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 ra-tio 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%).

参考文献

[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.

[2] Venerito M, Vasapolli R, Rokkas T, et al. Gastric cancer: epidemiology, prevention, and therapy[J]. Helicobacter, 2018,23(S1): e12518.

[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.

[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.

[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.

[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.

[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.

[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.

Yang X G, Wu Q L. Raman Spectroscopy Analysis and Application[M]. Beijing: National Defense Industry Press, 2008:267–273.

[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.

[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.

[11] Teh S K, Zheng W, Ho K Y, et al. Diagnostic potential of near-infrared Raman spectroscopy in the stomach: differen-tiating dysplasia from normal tissue[J]. British Journal of Cancer,2008, 98(2): 457–465.

[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.

[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.

[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.

[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.

Chu X L. Molecular Spectroscopy Analytical Technology Combined with Chemometrics and its Applications[M]. Beijing:Chemical Industry Press, 2011: 41–48.

[16] Naumann D. Ft-infrared and Ft-Raman spectroscopy in biomedical research[J]. Applied Spectroscopy Reviews, 2001,36(2–3): 239–298.

[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.

[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.

[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.

[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.

[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.

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.

[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.

[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.

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.

[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.

[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.

[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.

[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.

尹立建, 饶云江, 代剑华, 冉曾令, 李卓玥, 陈瑶, 彭贵勇. 光纤拉曼光谱系统对胃癌的快速诊断的可行性研究[J]. 光电工程, 2019, 46(4): 180645. Yin Lijian, Rao Yunjiang, Dai Jianhua, Ran Zengling, Li Zhuoyue, Chen Yao, Peng Guiyong. A feasibility study of using fiber-optic Raman spectrum system for fast diagnosis of gastric cancer[J]. Opto-Electronic Engineering, 2019, 46(4): 180645.

光纤拉曼光谱系统对胃癌的快速诊断的可行性研究

关于本站 Cookie 的使用提示

全站搜索

光纤拉曼光谱系统对胃癌的快速诊断的可行性研究

相关论文

相关资讯

关于本站 Cookie 的使用提示

全站搜索