title: [Automated quantitative image cytometry of bronchial washings in suspected lung cancer: comparison with cytology, histology and clinical diagnosis].
abstract: BACKGROUND
  Automated image cytometry represents a new method for the quantitative analysis of nuclear structure and DNA-content of exfoliative airway epithelial cells. In the present investigation, we examined the correlation between automated cytometry, conventional cytology and histopathology with the final diagnosis as the "gold standard".
  
  
  METHODS
  In 142 patients (100 males and 42 females) with suspected lung cancer and 50 controls (COPD, asthma), bronchial washings (5-10 ml) were obtained during bronchoscopy before taking biopsies for cytological and/or histological examinations. The washings were collected in 20 ml Saccomanno's fixative and centrifuged (500 g, 15 min). The cell pellet was resuspended in Saccomanno's solution. Two specimens were stained according to Papanicolaou and another two using the Feulgen reaction with thionine. Image cytometry was performed by means of a special, trainable classifier for exfoliative cells of the respiratory tract, using the Cyto-Sacant (Oncometrics, Vancouver).
  
  
  RESULTS
  In the patients with suspected lung cancer we found numerous abnormal nuclei in 97 samples, 36 samples contained normal cells only, and 9 samples were insufficient. In our control group there was no sample with abnormal nuclei, and all washings were evaluable. Compared to the final diagnosis of lung cancer, we found a sensitivity of 90% (92/102) and a specificity of 84% (26/31). For histology sensitivity was 91% (73/80) and specificity 100%, while we found a sensitivity of 92% (92/100) and specificity of 100% for cytology. For automated cytometry the positive predicted value was 95%, the negative predicted value 71%.
  
  
  CONCLUSIONS
  In the investigation of patients with suspected lung cancer, automated image cytometry of bronchial washings is a sensitive and reliable method for the detection of malignant changes in the tracheobronchial mucosa. The automated procedure seems well suited not only for analysing bronchial washings, but also for a screening procedure.
authors.affiliation: Forschungsinstitut für Frühdiagnose und Therapie des Bronchialkarzinoms, Klinik für Pneumologie und respiratorische Allergologie, Augusta-Kranken-Anstalt, Bochum. Wolfgang.Marek@ruhr-univ-bochum.de
authors.forename: W
authors.initials: W
authors.lastname: Marek
authors.forename: S
authors.initials: S
authors.lastname: Krampe
authors.forename: N J
authors.initials: NJ
authors.lastname: Dickgreber
authors.forename: L
authors.initials: L
authors.lastname: Nielsen
authors.forename: A
authors.initials: A
authors.lastname: Muti
authors.forename: B
authors.initials: B
authors.lastname: Khanavkar
authors.forename: K M
authors.initials: KM
authors.lastname: Müller
authors.forename: Z
authors.initials: Z
authors.lastname: Atay
authors.forename: T
authors.initials: T
authors.lastname: Topalidis
authors.forename: J A
authors.initials: JA
authors.lastname: Nakhosteen
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001249:Asthma / Q000473:pathology; D001331:Automation; D001992:Bronchoalveolar Lavage Fluid / Q000166:cytology*; D001999:Bronchoscopy; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D008173:Lung Diseases, Obstructive / Q000473:pathology; D008175:Lung Neoplasms / Q000175:diagnosis* / Q000473:pathology*; D008297:Male; D008875:Middle Aged