title: Noninvasive diagnosis of oral neoplasia based on fluorescence spectroscopy and native tissue autofluorescence.
abstract: OBJECTIVE
  To evaluate the clinical potential of fluorescence spectroscopy (a noninvasive technique for assessing the chemical and morphologic composition of tissue) for in vivo detection of oral cavity neoplasia.
  
  
  METHODS
  A fluorescence spectroscopy system recorded spectra from oral cavity sites in 8 healthy volunteers and in 15 patients with premalignant or malignant oral cavity lesions at 337-, 365-, and 410-nm excitation wavelengths in the emission range of 350 to 700 nm. Fluorescence peak intensities and spectral line shapes were compared and diagnostic algorithms were developed to distinguish normal sites from abnormal sites.
  
  
  METHODS
  The head and neck cancer clinic at a tertiary referral center in Houston, Tex.
  
  
  RESULTS
  Differences were found in spectra from normal, dysplastic, and malignant oral mucosa. The fluorescence intensity of normal mucosa was greater than that of abnormal areas. In addition, the ratio of red region (635-nm) to blue region (455-490-nm) intensities was greater in abnormal areas. Diagnostic discrimination was achieved when test site spectra were compared with spectra from a normal site in the same patient. One diagnostic algorithm based on spectra at 337 nm gave a sensitivity of 88% and a specificity of 100%.
  
  
  CONCLUSIONS
  Consistent differences exist between the fluorescence spectra of abnormal and normal oral mucosa. Therefore, fluorescence spectroscopy has the potential to improve the noninvasive diagnosis of oral cavity neoplasia. Further studies will better define the role of this technique in the detection of premalignant and early oral cancer lesions.
authors.affiliation: Department of Head and Neck Surgery, The University of Texas M.D. Anderson Cancer Center, Houston 77030, USA.
authors.forename: A
authors.initials: A
authors.lastname: Gillenwater
authors.forename: R
authors.initials: R
authors.lastname: Jacob
authors.forename: R
authors.initials: R
authors.lastname: Ganeshappa
authors.forename: B
authors.initials: B
authors.lastname: Kemp
authors.forename: A K
authors.initials: AK
authors.lastname: El-Naggar
authors.forename: J L
authors.initials: JL
authors.lastname: Palmer
authors.forename: G
authors.initials: G
authors.lastname: Clayman
authors.forename: M F
authors.initials: MF
authors.lastname: Mitchell
authors.forename: R
authors.initials: R
authors.lastname: Richards-Kortum
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D002294:Carcinoma, Squamous Cell / Q000175:diagnosis* / Q000473:pathology / Q000601:surgery; D003936:Diagnosis, Computer-Assisted / Q000295:instrumentation*; D005260:Female; D005453:Fluorescence; D005583:Fourier Analysis; D006801:Humans; D008297:Male; D008875:Middle Aged; D009061:Mouth Mucosa / Q000473:pathology* / Q000601:surgery; D009062:Mouth Neoplasms / Q000175:diagnosis* / Q000473:pathology / Q000601:surgery; D009378:Neoplasms, Multiple Primary / Q000175:diagnosis / Q000473:pathology / Q000601:surgery; D011230:Precancerous Conditions / Q000175:diagnosis* / Q000473:pathology / Q000601:surgery; D012016:Reference Values; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation; D013050:Spectrometry, Fluorescence / Q000295:instrumentation*