Factors Liable for Misinterpretation of Salivary Gland Neoplasms on Fine Needle Aspiration Cytology
Keywords:
Fine Needle Aspiration Cytology (FNAC, Salivary gland neoplasm, Diagnostic pitfallsAbstract
Fine needle aspiration cytology (FNAC) is now considered an effective technique for evaluation of salivary
gland tumors. However making precise diagnosis, at times, is a challenging job due to diverse
morphological alterations and overlapping features of different tumors.
Objective: 1) To determine different factors liable for misinterpretation of salivary gland tumors on fine
needle aspiration cytology. 2) To determine overall diagnostic accuracy of fine needle aspiration cytology
in salivary gland tumors using histopathology as gold standard.
Design: Cross-sectional study. Setting: Department of Pathology, Pakistan Institute of Medical Sciences,
Islamabad. Duration of study: From 15th October 2009 to 15th October 2010.
Sample size: 51.
Results: The sensitivity and specificity of FNAC came out to be 84.6% and 97.3% respectively with an
overall diagnostic accuracy of 98%. Out of 51 cases, 3 were wrongly diagnosed by FNAC. The major
factors found responsible for this misinterpretation were; lack of standardization of cellular adequacy
in salivary gland cytology smears, indeterminate exact criteria of definite atypia for malignancy and
failure to correctly identify different cell types.
Conclusion: FNAC was found to be a useful diagnostic tool in the evaluation of salivary gland tumors
because of its simplicity, cost effectiveness, excellent patient compliance and high diagnostic accuracy.
The diagnostic pitfalls in salivary gland FNAC, may be avoided by determination of definite predictive
atypical nuclear features and identifying non predictive, non relevant nuclear features. Repeat FNAC
when required and careful interpretation of slides could avoid and minimize mistakes. Support from
special stains may also be quite helpful.
Downloads
Published
Issue
Section
License
Copyright (c) 2018 Hijab Shah, Anwar Ul Haque
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Readers may “Share-copy and redistribute the material in any medium or format” and “Adapt-remix, transform, and build upon the material”. The readers must give appropriate credit to the source of the material and indicate if changes were made to the material. Readers may not use the material for commercial purpose. The readers may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.