title: [An approach to the cytologic diagnostic criteria of hepatocellular carcinoma by fine needle aspiration biopsy].
abstract: OBJECTIVE
  To identify useful cytologic features for diagnosis of hepatocellular carcinoma (HCC).
  
  
  METHODS
  Fine needle aspiration(FNA) smears from 61 patients with proven HCC, 19 patients with metastatic tumors in the liver and 16 patients with non-neoplastic lesion of the liver were reviewed in order to detect the relevant cytologic changes associated with HCC. Step-wise logistic regression analysis was done to select useful cytologic features in discriminating HCC from metastatic tumors and non-neoplastic lesions of liver.
  
  
  RESULTS
  Nine cytologic features observed were significantly associated with HCC: abundant tissue fragments(91.8%); trabecular pattern(91.8%); sinusoidal endothelial cells (47.5%); polygonal cells with centrally placed nuclei(82.0%); increased nuclear to cytoplasmic ratio(95.1%); large nucleoli(55.7%); bile granules(31.1%); cytoplasmic vacuoles(27.9%) and atypical naked hepatocyte nuclei(88.5%). In distinquishing HCC from metastatic tumors, polygonal cells with centrally placed nuclei, bile granules and trabecular pattern were useful cytologic features. Of the 61 patients with HCC, the logistic model correctly predicted 60(98.4%) as having HCC, while of the 19 patients with metastatic tumors, 18(94.7%) were correctly predicted. In distinquishing HCC from non-neoplastic liver disease, abundant tissue fragments, trebecular pattern, increased nuclear to cytoplasmic ratio and atypical naked hepatocyte nuclei were selected. When the four criteria were used, the sensitivity of diagnosing HCC was 100% and the specificity was 93.8%.
  
  
  CONCLUSIONS
  Abundant tissue fragments, polygonal cells with centrally placed nuclei, increased nuclear to cytoplasmic ratio, trebecular pattern, atypical naked hepatocyte nuclei and bile granules are useful features for identifying HCC by FNA biopsy.
authors.affiliation: Cancer Institute (Hospital), Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021.
authors.forename: Q
authors.initials: Q
authors.lastname: Pan
authors.forename: J
authors.initials: J
authors.lastname: Cao
authors.forename: M
authors.initials: M
authors.lastname: Teng
mesh_terms: D001707:Biopsy, Needle; D006528:Carcinoma, Hepatocellular / Q000473:pathology*; D006801:Humans; D008113:Liver Neoplasms / Q000473:pathology*; D016015:Logistic Models