Diagnosis of hepatocellular carcinoma by fine needle aspiration cytology -: Cellular features


Soyuer I., Ekinci C., Kaya M., Genc Y., Bahar K.

ACTA CYTOLOGICA, sa.4, ss.581-589, 2003 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Basım Tarihi: 2003
  • Doi Numarası: 10.1159/000326572
  • Dergi Adı: ACTA CYTOLOGICA
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.581-589
  • Anahtar Kelimeler: hepatocellular carcinoma, aspiration biopsy, liver diseases, LIVER-DISEASE, BIOPSY, CYTODIAGNOSIS, CRITERIA, CANCER
  • Ankara Üniversitesi Adresli: Evet

Özet

OBJECTIVE: To evaluate the importance of fine needle aspiration cytology (FNAC) in the diagnosis of hepatocellular. carcinoma (HCC). STUDY DESIGN. We analyzed 17 cytologic and 5 architectural features in a series of 320 FNACs from HCC and compared them with 73 FNACs from benign lesions and with 705 FNACs from metastatic carcinomas. One thousand ninety-eight patients who were diagnosed by liver FNAC between December 1988 and July 1998 and had adequate follow-up were included in the study, The specimens were evaluated according to the presence or absence of the cytologic features and cellular arrangement. A stepwise logistic regression analysis was performed on the data to determine the variables predictive of HCC. RESULTS: Multinucleated tumor giant cells, cytoplasmic hyaline and central sinusoidal pattern were selected as the 3 most predictive parameters for differentiated reactive hepatocytes from HCC (P < .0001), while bile, centrally located nucleus in an atypical cell and intranuclear inclusion were selected as the 3 most predictive parameters for differentiated metastatic carcinoma from HCC (P < .0001 < .001) by stepwise logistic regression analysis. CONCLUSION: In the 1,098 patients suspected of having hepatic malignancy, a correct diagnosis was made by a combination of the above features. The sensitivity of this procedure for hepatic malignancy was 99.5%, and the specificity was 100%.