E-ISSN 2587-0831
Original Article
Sub-classification of Breast Masses by Fine Needle Aspiration Cytology
1 Department of Surgery, Chukwuemeka Odumegwu Ojukwu University Teaching Hospital, Awka, Anambra State, Nigeria  
2 Department of Histopathology, Nnamdi Azikiwe University Teaching Hospital, Nnewi, Anambra State, Nigeria  
3 Department of Surgery, Nnamdi Azikiwe University Teaching Hospital, Nnewi, Anambra State, Nigeria  
Eur J Breast Health 2017; 13: 194-199
DOI: 10.5152/ejbh.2017.3506
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Key Words: Cytology, breast masses, sub-classification
Abstract

Objective: The aim of this study is to evaluate the accuracy of sub-classification of breast diseases using Fine Needle Aspiration cytology (FNAC). 

 

Materials and methods: A one-year prospective study of 180 consecutive patients with palpable breast lesions who underwent FNAC and subsequently open surgical biopsy for histological confirmation. FNAC was used to sub-classify breast lesions and then correlated with histological diagnosis.

 

Results: A total of 180 patients were enrolled into the study but only 110 patients with histology report were used for test validity. Seventeen (15.5%) smears were C1; while 46 (41.8%), 5 (4.5%), 4 (3.6%) and 38 (34.6%) were C2, C3, C4 and C5, respectively. FNAC achieved sensitivity of 90.0%, specificity of 95.5%, false positive rate of 5.3%, false negative rate of 8.7%, positive predictive value of 94.7%, negative predictive value of 91.3% and overall diagnostic accuracy of 92.9%. Only 86 (78.2%) of the 110 smears could be sub-classified into different disease conditions of the breast on cytology. FNAC accurately sub-classified 25(78.1%) of fibroadenoma and 28(87.5%) of invasive ductal carcinoma. 

 

Conclusion: FNAC can reasonably sub-classify fibroadenoma, invasive ductal carcinoma and mastitis but there is still a challenge with lobular carcinomas, metaplastic carcinomas, papillary carcinomas and fibrocystic changes.

 

 

Cite this article as: Madubogwu CI, Ukah CO, Anyanwu SNC, Chianakwana GU, Onyiaorah IV, Anyiam DCD. Sub-classification of Breast Masses by Fine Needle Aspiration Cytology. Eur J Breast Health 2017; 13: 194-199.  

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