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Artigo | IMSEAR | ID: sea-184866

RESUMO

Background: The salivary glands are one of the few tissues in the body that are subjected to diverse and heterogeneous range of tumors and tumor like conditions. The relative infrequency of these tumors makes their diagnosis and management quite complicated. Fine needle aspiration cytology (FNAC) is a useful diagnostic procedure which has a recognized role in the evaluation of salivary gland lesions. A pre-operative diagnosis about nature of lesion, whether benign or malignant, will help in making decision about proper management of patient. Aim and Objective: Aim of this study was to know the epidemiology of salivary gland tumors in our region and to evaluate sensitivity, specificity and diagnostic accuracy of fine needle aspiration cytology taking histopathology as the gold standard. Material and Method: It was 3yrs prospective observational study conducted from oct 2015 to oct 2018 in department of pathology KMC/MGM Hospital. Total 59 cases were studied with particular reference to age, sex, site, cytologic details & histological types as per WHO classification. FNAC & histopathological examination was done in all cases came to pathology laboratory . Correlation between cytological & histopathological diagnoses was assessed. Diagnostic accuracy of FNAC was evaluated by comparing cytological & histopathological diagnoses. Results and Discussion : Parotid gland was the most common site of involvement (70% cases). Maximum number of patients was in age range of 41-50 years & male to female ratio was 0.8:1. Most common benign & malignant tumors were pleomorphic adenoma (69.89% cases) & mucoepidermoid carcinoma (8.60% cases) respectively. On cytology, 54 cases while on histopathology 57 cases were diagnosed as neoplastic. Cytological diagnoses correlated with histopathological diagnoses in 94% cases. Sensitivity, specificity & diagnostic accuracy of FNAC were found to be 96.87%, 100% & 96% respectively. Conclusion: FNAC in salivary gland masses is fairly reliable for correct preoperative diagnosis. Multiple sampling and special attention to cytologic features should help to minimize errors

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