Time-resolved autofluorescence spectroscopy for classifying normal and premalignant oral tissues

Hsin Ming Chen, Chun Pin Chiang, Chun You, Tzu-Chien Hsiao, Chih Yu Wang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

48 Scopus citations

Abstract

Background and Objectives: Time-resolved autofluorescence spectroscopy has been used for effectively distinguishing normal tissues from precancers and cancers in various organs. The aim of this study was to find out the possibility of using time-resolved autofluorescence spectroscopy to differentiate normal oral mucosa (NOM) from oral premalignant lesions including verrucous hyperplasia (VH), epithelial hyperplasia (EH), and epithelial dysplasia (ED). Study Design/Materials and Methods: Time-resolved autofluorescence spectra at 633 nm under 410-nm excitation were recorded for 15 VH, 9 EH, 14 ED, and 38 NOM samples. The two-component lifetimes of the obtained curves were calculated, and a Fisher's discriminant analysis (FDA) was employed for distinguishing these tissue samples. Results: After two-component lifetimes for all samples being calculated, a two-dimensional scatter plot was developed, in which 76 oral tissue samples were separated into three groups by FDA. With a leave-one-out method, the FDA algorithm gave an accuracy rate of 93% for ED, of 75% for VH and EH, and of 100% for NOM samples. In addition, all oral premalignant lesions (including VH, EH, and ED) could be distinguished from NOM samples by this FDA algorithm. Conclusions: We conclude that time-resolved autofluorescence spectroscopy at 633 nm under 410-nm excitation, based on two-component lifetime calculation and FDA, is a very sensitive technique for in vivo diagnosis of oral pre-malignant lesions.

Original languageEnglish
Pages (from-to)37-45
Number of pages9
JournalLasers in Surgery and Medicine
Volume37
Issue number1
DOIs
StatePublished - 1 Jul 2005

Keywords

  • Fluorescence lifetime
  • Oral premalignance
  • Time-resolved autofluorescence spectroscopy

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