BACKGROUND: The accuracy of fine-needle aspiration biopsy (FNAB) is controversial in parotid tumors. We aimed to compare FNAB results with the final histopathological diagnosis and to apply the "Sal classification" to our data and discuss its results and its place in parotid gland cytology. METHODS: The FNAB cytological findings and final histological diagnosis were assessed retrospectively in 2 different scenarios based on the distribution of nondefinitive cytology, and we applied the Sal classification and determined malignancy rate, sensitivity, and specificity for each category. RESULTS: In 2 different scenarios FNAB sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were found to be 81%, 87%, 54.7%, and 96.1%; and 65.3%, 100%, 100%, and 96.1%, respectively. The malignancy rates and sensitivity and specificity were also calculated and discussed for each Sal category. CONCLUSION: We believe that the Sal classification has a great potential to be a useful tool in classification of parotid gland cytology.
BACKGROUND: The accuracy of fine-needle aspiration biopsy (FNAB) is controversial in parotid tumors. We aimed to compare FNAB results with the final histopathological diagnosis and to apply the "Sal classification" to our data and discuss its results and its place in parotid gland cytology. METHODS: The FNAB cytological findings and final histological diagnosis were assessed retrospectively in 2 different scenarios based on the distribution of nondefinitive cytology, and we applied the Sal classification and determined malignancy rate, sensitivity, and specificity for each category. RESULTS: In 2 different scenarios FNAB sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were found to be 81%, 87%, 54.7%, and 96.1%; and 65.3%, 100%, 100%, and 96.1%, respectively. The malignancy rates and sensitivity and specificity were also calculated and discussed for each Sal category. CONCLUSION: We believe that the Sal classification has a great potential to be a useful tool in classification of parotid gland cytology.
Authors: Lucie Dostalova; David Kalfert; Alzbeta Jechova; Vladimir Koucky; Stepan Novak; Martin Kuchar; Michal Zabrodsky; Daniela Novakova Kodetova; Marie Ludvikova; Ivana Kholova; Jan Plzak Journal: Eur Arch Otorhinolaryngol Date: 2020-02-27 Impact factor: 2.503