@article{Pradeep Singh Shekhawat_Sudha Iyengar_Gajendra Pal Singh Uike_2022, title={A Study of fine needle aspiration of thyroid lesion by the 2017 bethesda system for reporting thyroid cytopathology and their correlation with thyroid function test - A prospective study}, volume={5}, url={https://ijhcr.com/index.php/ijhcr/article/view/4575}, abstractNote={<p>Introduction: Fine needle aspiration cytology is initial investigation for the diagnosis of thyroid lesions. The revised 2017 Bethesda system for reporting thyroid cytopathology provides a category based reporting system for FNAC of thyroid lesions. Thyroid function test also plays important role to manage patients. The present study was undertaken to categorise all the thyroid lesions according to Bethesda system into 6 categories and correlate with Thyroid function test. Material and Methods: The study period was from January 2020 to June 2021. During the study period, a total of 100 cases of thyroid fine needle aspirations were collected and categorized according to “The 2017 Bethesda System for Reporting Thyroid Cytopathology”. It was easy to classify the result in 6 categories. Later these cases were followed up with their thyroid profile test. Result: A total of 100 cases were studied, out of which 83 patients were females and 17 were males, with Female to Male ratio of 4.8:1. with a mean age of 35.96 years. Among 100 cases, non neoplastic category II lesions were the major proportion constituting 79%, category I unsatisfactory smears were 1%, category III 0%, next highest percentage of cases were in category IV with 14%, category V had 1% cases and category VI had 5% of cases. Patients with hypothyroid were 23%, patients with euthyroid were 68% and 9% patients were in hyperthyroid condition. Conclusion: The revised 2017 Bethesda system is an excellent reporting system for thyroid FNA. Both Bethesda categories and TFT are independent variables and there is no correlation between them</p>}, number={1}, journal={International Journal of Health and Clinical Research}, author={Pradeep Singh Shekhawat and Sudha Iyengar and Gajendra Pal Singh Uike}, year={2022}, month={Jan.}, pages={497–503} }