@article{Cablao_de Grano_Abelardo_Avila_Argamosa_2022, title={Determination of Rates of Malignancy on Archival Salivary Gland Fine-Needle Aspiration Biopsy after Application of the Milan System for Reporting Salivary Gland Cytopathology in the Philippine General Hospital: A 1-Year Retrospective Study}, volume={7}, url={https://philippinejournalofpathology.org/index.php/PJP/article/view/311}, DOI={10.21141/PJP.2022.09}, abstractNote={<p style="text-align: justify;"><strong>Background.</strong> The Milan System for Reporting Salivary Gland Cytopathology (MSRGC) aims to increase the overall effectiveness of salivary gland FNAB by defining six general diagnostic categories with corresponding Rates of Malignancies (ROM). This study aims to use this system to categorize salivary gland FNAB in the Philippine General Hospital and stratify ROM per category.</p> <p style="text-align: justify;"><strong>Methodology.</strong> In this study a total of 326 cases have been collected and reviewed, of which 154 (47.2%) had either surgical or clinical follow-up. The cases were assigned a Milan category by 3 cytopathologists blinded from the original diagnoses and from each other’s readings.</p> <p style="text-align: justify;"><strong>Results.</strong> The overall sensitivity, specificity, PPV, and NPV in detecting neoplasm is at 71.6%, 90.9%, 88.3%, and 76.9%, respectively. On the other hand, the sensitivity, specificity, PPV, and NPV in detecting malignancy is at 52%, 92.9%, 59.1%, and 90.7%, respectively. The computed ROM is as follows: Category I 7.89%, Category II 9.43%, Category III 20%, Category IVa 10.53%, Category IVb 60%, Category V 75%, and Category VI 100%.</p> <p style="text-align: justify;"><strong>Conclusion.</strong> The overall diagnostic utility of salivary gland FNAB, as well as the computed ROM per diagnostic category are comparable to internationally published literature. This study also validates the MSRSGC as a valuable tool in stratifying ROM in salivary gland lesions.</p>}, number={1}, journal={PJP}, author={Cablao, Nikko Paolo and de Grano, Pauleen and Abelardo, Agustina and Avila, Jose Ma. and Argamosa, Dahlia Teresa}, year={2022}, month={Jun.}, pages={31–37} }