title: Sputum screening by quantitative microscopy: a reexamination of a portion of the National Cancer Institute Cooperative Early Lung Cancer Study.
abstract: OBJECTIVE
  To investigate the hypothesis that image cytometry of sputum specimens can detect squamous carcinoma without requiring visually abnormal cells.
  
  
  METHODS
  The sensitivity and specificity of image cytometry were evaluated in a case-control study.
  
  
  METHODS
  Seventy-three sputum slides from the Mayo portion of the National Cancer Institute Cooperative Early Lung Cancer Study were restained by a modified Feulgen method. We examined 40 slides from 9 patients in whom squamous carcinoma developed and 33 slides from 11 patients in whom no cancer developed during a follow-up of at least 5 years. Images of normal epithelial nuclei were collected by using an automated image cytometer. Discriminant analysis was used to determine differences in DNA distribution of normal nuclei in sputum specimens from noncancer patients versus normal nuclei in sputum samples from patients in whom carcinoma developed.
  
  
  RESULTS
  By using features based on DNA distribution, 74% correct classification of nuclei was possible without human review of the material and without the use of visually abnormal nuclei. A receiver operating characteristic curve demonstrated sensitivities and specificities, including 40% sensitivity and 90% specificity.
  
  
  CONCLUSIONS
  Although this study was limited to 20-year-old slides and squamous cell carcinoma, automated image cytometry detected a substantial proportion of patients with squamous cell cancer without using visually abnormal nuclei.
authors.affiliation: Department of Pathology, Faculty of Medicine, University of British Columbia, Vancouver, Canada.
authors.forename: P W
authors.initials: PW
authors.lastname: Payne
authors.forename: T J
authors.initials: TJ
authors.lastname: Sebo
authors.forename: A
authors.initials: A
authors.lastname: Doudkine
authors.forename: D
authors.initials: D
authors.lastname: Garner
authors.forename: C
authors.initials: C
authors.lastname: MacAulay
authors.forename: S
authors.initials: S
authors.lastname: Lam
authors.forename: J C
authors.initials: JC
authors.lastname: LeRichie
authors.forename: B
authors.initials: B
authors.lastname: Palcic
mesh_terms: D000368:Aged; D002294:Carcinoma, Squamous Cell / Q000175:diagnosis* / Q000517:prevention & control; D016022:Case-Control Studies; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008175:Lung Neoplasms / Q000175:diagnosis* / Q000517:prevention & control; D008297:Male; D008403:Mass Screening / Q000379:methods*; D008853:Microscopy / Q000379:methods*; D008875:Middle Aged; D009316:National Institutes of Health (U.S.); D012372:ROC Curve; D012680:Sensitivity and Specificity; D013183:Sputum / Q000166:cytology*; D014481:United States