| 光谱学与光谱分析 |
|
|
|
|
|
| Applying Patial Least-Squares Discriminant Analysis on Autofluorescence Spectra to Identify Gastric Cancer |
| SHI Xiao-feng1, MA Jun1*, MAO Wei-zheng2, LI Ying1, ZHENG Rong-er1, MENG Ji-wu1 |
1. Department of Physics, Ocean University of China, Qingdao 266071, China
2. Depatment of General Surgery, Medical College Hospital of Qingdao University, Qingdao 266003, China |
|
|
|
|
Abstract Measurement of fluorescence intensity was performed at excitation wavelength of 308 nm and emission wavelength in the range of 328-596 nm. The partial least-squares(PLS) method was used to analyze autofluorescence spectra of gastric cancer. The 42 normal samples and 42 cancer samples were taken from 42 gastric cancer patients. The normalized and centralized spectra of two kinds of samples showed similar but divergent patterns. PLS classification algorithm could differentiate cancer tissues from normal tissues with a sensitivity of 83.3%, a specificity of 95.2%, and a positive predictive value of 94.6%. We concluded therefore that the PLS method was a fast, effective choice for identification of gastric cancer.
|
|
Received: 2004-12-23
Accepted: 2005-03-28
|
|
|
|
Corresponding Authors:
MA Jun
|
|
| Cite this article: |
|
SHI Xiao-feng,MA Jun,MAO Wei-zheng, et al. Applying Patial Least-Squares Discriminant Analysis on Autofluorescence Spectra to Identify Gastric Cancer [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2006, 26(02): 295-298.
|
|
|
|
| URL: |
|
https://www.gpxygpfx.com/EN/Y2006/V26/I02/295 |
[1] Ramanujam N, Mitchell M F, Mahadevan A, et al. Lasers Surg. Med., 1996, 19：46.
[2] Wang C Y, Chen C T, Chiang C P, et al. Applied Spectroscopy, 1998, 52：1190.
[3] Wang C Y, Tsai T, Chen H M, et al. Lasers in Surgery and Medicine, 2003, 32: 318.
[4] Eker C, Rydell R, Svanberg K, et al. Lasers Surg. Med., 2001, 28：259.
[5] Peter R Griffiths, YANG Hu-sheng, LI Qing-bo, LIN Xiao-feng, WANG Jian-sheng, et al(Peter R Griffiths, 杨虎生, 李庆波, 凌晓锋, 王健生, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2004, 24(9)：1025.
[6] YU Ge, XU Xiao-xuan, NIU Yun, WANG Bin, SONG Zeng-fu(于 舸, 徐晓轩, 牛 昀, 王 斌, 宋增福). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2004, 24(11)：1359.
[7] SONG Gong-wu，ZHOU Jian-gang(宋功武, 周建刚). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 1995, 15(5)：79.
[8] XU Lu(许 禄). Chemometrics: Principles and Applications of the Important Methods(化学计量学: 一些重要方法的原理及应用). Beijing: Science Press(北京: 科学出版社). 2004. 7.
[9] Ann Gillenwater, Rhonda Jacob, et al. Basic Science Review, 1998, 20(6): 556.
[10] PENG Yan，LIN San-ren(彭 燕, 林三仁). Foreign Medical Sciences(Cancer Section)(国外医学肿瘤学分册), 1996, 23(3)：153.
[11] MA Jun，SHI Xiao-feng，LI Ying, et al(马 君, 史晓凤，李 颖，等). Journal of Ocean University of Qingdao(中国海洋大学学报), 2004, 34(4)：662.
|
| [1] |
LI Yu1, ZHANG Ke-can1, PENG Li-juan2*, ZHU Zheng-liang1, HE Liang1*. Simultaneous Detection of Glucose and Xylose in Tobacco by Using Partial Least Squares Assisted UV-Vis Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 103-110. |
| [2] |
JIA Hao1, 3, 4, ZHANG Wei-fang1, 3, LEI Jing-wei1, 3*, LI Ying-ying1, 3, YANG Chun-jing2, 3*, XIE Cai-xia1, 3, GONG Hai-yan1, 3, DING Xin-yu1, YAO Tian-yi1. Study on Infrared Fingerprint of the Classical Famous
Prescription Yiguanjian[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3202-3210. |
| [3] |
LUO Dong-jie, WANG Meng, ZHANG Xiao-shuan, XIAO Xin-qing*. Vis/NIR Based Spectral Sensing for SSC of Table Grapes[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2146-2152. |
| [4] |
WANG Bin1, 2, ZHENG Shao-feng2, GAN Jiu-lin1, LIU Shu3, LI Wei-cai2, YANG Zhong-min1, SONG Wu-yuan4*. Plastic Reference Material (PRM) Combined With Partial Least Square (PLS) in Laser-Induced Breakdown Spectroscopy (LIBS) in the Field of Quantitative Elemental Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2124-2131. |
| [5] |
CHENG Xiao-xiang1, WU Na2, LIU Wei2*, WANG Ke-qing2, LI Chen-yuan1, CHEN Kun-long1, LI Yan-xiang1*. Research on Quantitative Model of Corrosion Products of Iron Artefacts Based on Raman Spectroscopic Imaging[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2166-2173. |
| [6] |
ZHANG Mei-zhi1, ZHANG Ning1, 2, QIAO Cong1, XU Huang-rong2, GAO Bo2, MENG Qing-yang2, YU Wei-xing2*. High-Efficient and Accurate Testing of Egg Freshness Based on
IPLS-XGBoost Algorithm and VIS-NIR Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1711-1718. |
| [7] |
XU Wei-xin, XIA Jing-jing, WEI Yun, CHEN Yue-yao, MAO Xin-ran, MIN Shun-geng*, XIONG Yan-mei*. Rapid Determination of Oxytetracycline Hydrochloride Illegally Added in Cattle Premix by ATR-FTIR[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 842-847. |
| [8] |
LI Zi-yi1, LI Rui-lan1, LI Can-lin1, WANG Ke-ru2, FAN Jiu-yu3, GU Rui1*. Identification of Tibetan Medicine Zhaxun by Infrared Spectroscopy
Combined With Chemometrics[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 526-532. |
| [9] |
WANG Chao1, LIU Yan1*, XIA Zhen-zhen2, WANG Qiao1, DUAN Shuo1. Fast Evaluation of Freshness in Crayfish (Prokaryophyllus clarkii) Cased on Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 156-161. |
| [10] |
ZHAO Jian-ming, YANG Chang-bao, HAN Li-guo*, ZHU Meng-yao. The Inversion of Muscovite Content Based on Spectral Absorption
Characteristics of Rocks[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 220-224. |
| [11] |
LI Qing-bo1, BI Zhi-qi1, CUI Hou-xin2, LANG Jia-ye2, SHEN Zhong-kai2. Detection of Total Organic Carbon in Surface Water Based on UV-Vis Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3423-3427. |
| [12] |
OUYANG Ai-guo, LIN Tong-zheng, HU Jun, YU Bin, LIU Yan-de. Optimization of Hardness Testing Model of High-Speed Iron Wheel by Laser-Induced Breakdown Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3109-3115. |
| [13] |
YUAN Ke-yan 1, WANG Rong2, WANG Xiang-xiang2, XUE Li-ping2, YU Li2*. Identification and Restoration of Pseudo-Hydrolyzed Animal Protein of Lacteus Camelus Based on iPLS Model of Near-Infrared Measurement Spectrum of 6 mm Detection Plate[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3143-3147. |
| [14] |
ZHAO Zhi-lei1, 2, 3, 4，WANG Xue-mei1, 2, 3，LIU Dong-dong1, 2, 3，WANG Yan-wei1, 2, 3，GU Yu-hong5，TENG Jia-xin1，NIU Xiao-ying1, 2, 3, 4*. Quantitative Analysis of Soluble Solids and Titratable Acidity Content in Angeleno Plum by Near-Infrared Spectroscopy With BP-ANN and PLS[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2836-2842. |
| [15] |
ZHOU Ming-rui1, 2, QU Jiang-bei2, LI Peng1, 2*, HE Yi-liang1, 2. The “Cluster-Regression” COD Prediction Model of Distributed Rural Sewage Based on Three-Dimensional Fluorescence Spectrum and
Ultraviolet-Visible Absorption Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(07): 2113-2119. |
|
|
|
|
