title: [Surface detection of thyroid cancer by Fourier transform infrared spectroscopy].
abstract: OBJECTIVE
  To explore a novel non-invasive method in detection of thyroid cancer by Fourier transform infrared (FTIR) spectroscopy.
  
  
  METHODS
  Surface FTIR spectra of 15 cases of thyroid cancer and 51 cases of normal subjects were collected. 22 variables of 11 bands including peak positions and relative intensities were measured and all data were statistically analyzed.
  
  
  RESULTS
  In the cancer group: (1) the peak position of 1743 cm(-1) was shifted toward higher wave number (P < 0.05), and that of 1250 cm(-1) to the lower (P < 0.05), when compared to those of normal ones. (2) The relative intensity ratios of I(1546)/I(1460), I(1250)/I(1460), I(1120)/I(1460), I(1080)/I(1460) were significantly increased (P < 0.05). (3) The presence rate of band of 1340 cm(-1) was significantly decreased (P < 0.05).
  
  
  CONCLUSIONS
  FTIR surface spectra may become a novel powerful non-invasive approach of detecting thyroid cancer in regular routine check-up.
authors.affiliation: Department of General Surgery, Peking University Third Hospital, Beijing 100191, China.
authors.forename: Ya-qi
authors.initials: YQ
authors.lastname: Liu
authors.forename: Yi-zhuang
authors.initials: YZ
authors.lastname: Xu
authors.forename: Qi-gang
authors.initials: QG
authors.lastname: Sun
authors.forename: Xiao-qing
authors.initials: XQ
authors.lastname: Zhang
authors.forename: Zhi
authors.initials: Z
authors.lastname: Xu
authors.forename: Yuan-fu
authors.initials: YF
authors.lastname: Zhang
authors.forename: Jin-guang
authors.initials: JG
authors.lastname: Wu
authors.forename: Xiao-si
authors.initials: XS
authors.lastname: Zhou
authors.forename: Xiao-feng
authors.initials: XF
authors.lastname: Ling
mesh_terms: D006801:Humans; D017550:Spectroscopy, Fourier Transform Infrared / Q000379:methods*; D013961:Thyroid Gland / Q000737:chemistry*; D013964:Thyroid Neoplasms / Q000737:chemistry* / Q000175:diagnosis*