The Korean Journal of Cytopathology (대한세포병리학회지)
- Volume 11 Issue 2
- /
- Pages.93-97
- /
- 2000
- /
- 1017-0391(pISSN)
Fine Needle Aspiration Cytology of Metastatic Epithelial-Myoepithelial Carcinoma of the Scalp - A Case Report -
두피에 전이한 상피-근상피암종의 세침흡인 세포학적 소견 - 1예 보고 -
- Kwon, Mi-Seon (Department of Pathology, Korea Cancer Center Hospital) ;
- Lee, Seung-Sook (Department of Pathology, Korea Cancer Center Hospital) ;
- Koh, Jae-Soo (Department of Pathology, Korea Cancer Center Hospital) ;
- Chung, Jin-Haeng (Department of Pathology, Korea Cancer Center Hospital)
- Published : 2000.12.30
Abstract
Epithelial-myoepithelial carcinoma is an uncommon, low grade malignant epithelial neoplasm and metastasis is exceedingly rare. This article highlights the fine needle aspiration cytology(FNAC) of a case of metastatic epithelial-myoepithelial carcinoma of the scalp. A 51-year-old female presented with the left parietotemporal scalp mass two months after the lett parotidectomy for epithelial-myoeplthelial carcinoma. FNAC from the scalp mass showed a biphasic population of ductal epithelial and myoeplthelial origin. These epithelial aggregates were numerous and formed a distinct three dimensional architecture in the background of numerous naked nuclei. The three dimensional architectures were predominantly composed of tightly cohesive eosinophilic ductular epithelial cells which tended to aggregate, overlap, and form tubules. Clear myoepithelial cells in three dimensional tissue fragment were inapparent and a few were attached to the periphery of the fragments. A few myoepithelial cells with clear abundant vaculoated cytoplasm were found In the foamy background. The cytological diagnosis was metastatic epithelial-myoepithelial carcinoma. The histologic findings of the scalp mass were those of typical epithelial-myoepithelial carcinoma. Cytologic distinction of epithelial-myoepithleial carcinoma, pleomorphic adenoma, and adenoid. Cytologic carcinoma may be very difficult but careful attention to clinical features and cellualr details can classify these neoplasms correctly.