Development of an optical system for the detection of oral cancer using near-infrared spectroscopy

被引:0
|
作者
Cooney, KM [1 ]
Gossage, KW [1 ]
McShane, MJ [1 ]
van der Breggen, EWJ [1 ]
Motamedi, M [1 ]
Coté, GL [1 ]
机构
[1] Texas A&M Univ, Biomed Engn Program, College Stn, TX 77843 USA
关键词
oral cancer; near-infrared spectroscopy; principal component analysis;
D O I
暂无
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
A system was developed using a Fourier Transform spectrometer to investigate spectral differences between malignant, benign and healthy oral tissue in the near-infrared range (2.0-2.5 microns). A hamster model for oral squamous cell carcinoma and one for benign lesions in soft oral tissue (i.e. inflammation) was used. After tissue transformation in the malignant and benign cases and when no transformation occurred (ie. healthy), the animals were euthanized and the cancerous as well as the normal tissue were excised Infrared absorption spectra of the buccal mucosa were then collected on ill three models, in vitro. A total of 160 near-infrared (NIR) scans were taken, 70 on malignant tissue, 20 on benign, inflamed, tissue and 70 on healthy tissue Multiplicative signal correction (MSC), used during preprocessing, together with principal component analysis (PCA) showed a 90% sensitivity, 87% specificity and a false negative rate of .10 between malignant and healthy/benign tissue types across animals using this wavelength range The results of the PCA analysis indicated that differences were detectable in the 2.25-2.35 pm range. Absorption bands in this range are due to the N-H stretching, C=O stretching vibration, and C-H deformation vibrations.
引用
收藏
页码:906 / 909
页数:4
相关论文
共 50 条
  • [21] NEAR-INFRARED SPECTROSCOPY OVER OPTICAL FIBERS
    HONIGS, DE
    BUCHANAN, BR
    HIRSCHFELD, TB
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1986, 192 : 77 - ANYL
  • [22] NEAR-INFRARED OXIMETRY AND NEAR-INFRARED SPECTROSCOPY
    OWENREECE, H
    ELWELL, CE
    FALLON, P
    GOLDSTONE, J
    SMITH, M
    ANAESTHESIA, 1994, 49 (12) : 1102 - 1103
  • [23] Weather measurement system using near-infrared differential spectroscopy
    Mizumoto, I.
    Yoshi, Y.
    Oguma, H.
    Tsukada, A.
    Sakai, S.
    ELECTRONICS LETTERS, 2013, 49 (14) : 900 - 901
  • [24] The application of correlation detection to near-infrared spectroscopy
    Liu, QG
    Shao, DR
    Li, SJ
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2005, 25 (12) : 1978 - 1981
  • [25] Evaluating oral epithelial dysplasia classification system by near-infrared Raman spectroscopy
    Li, Bo
    Gu, Zhi-Yu
    Yan, Kai-Xiao
    Wen, Zhi-Ning
    Zhao, Zhi-He
    Li, Long-Jiang
    Li, Yi
    ONCOTARGET, 2017, 8 (44): : 76257 - 76265
  • [26] Development of Portable, Wireless and Smartphone Controllable Near-Infrared Spectroscopy System
    Watanabe, Takashi
    Sekine, Rui
    Mizuno, Toshihiko
    Miwa, Mitsuharu
    OXYGEN TRANSPORT TO TISSUE XXXVIII, 2016, 923 : 385 - 392
  • [27] Near-infrared Raman spectroscopy for oral carcinoma diagnosis
    Oliveira, Ana Paula
    Bitar, Renata Andrade
    Silveira, Landulfo, Jr.
    Zangaro, Renato Amaro
    Martin, Airton Abrahao
    PHOTOMEDICINE AND LASER SURGERY, 2006, 24 (03) : 348 - 353
  • [28] Challenges in the noninvasive detection of body composition using near-infrared spectroscopy
    Chen, Wenliang
    Jia, Hao
    Li, Chenli
    Xu, Kexin
    JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES, 2014, 7 (06)
  • [29] Near-infrared spectroscopy using digital phase-sensitive detection
    Wang, Jingru
    Liu, Jie
    Liu, Guangda
    Wang, Zhihong
    INSTRUMENTATION SCIENCE & TECHNOLOGY, 2016, 44 (02) : 199 - 209
  • [30] Quantitative analysis and detection of adulteration in pork using near-infrared spectroscopy
    Fan, Yuxia
    Cheng, Fang
    Xie, Lijuan
    SENSING FOR AGRICULTURE AND FOOD QUALITY AND SAFETY II, 2010, 7676