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- W2597785251 abstract "TITLE OF PAPER- A STUDY ON TIRADS CLASSIFICATION SYSTEM IN THE RISK STRATIFICATION OF THYROID SWELLINGS ABSTARCT BACKGROUND Thyroid Imaging Recording And Data System (TIRADS) is a classification system for thyroid nodules,which classify them into benign or malignant, based on ultrasound characteristics. Still histopathological examination is the goal standard for the classification of thyroid swellings. This study aims to assess the accuracy of TIRADS classification in the evaluation of thyroid swellings by comparing with cytological examination reports METHODS: A proforma was drafted for the study of all patients presenting with history of palpable thyroid swelling in our hospital. Clinical presentations, FNAC and Ultrasound findings of all cases were documented. Based on ultrasound findings, patients were grouped into different classes of TIRADS and findings compared with FNAC. RESULTS: 100 cases who presented with thyroid swellings were studied and their TIRADS class was compared with the FNAC. Out of the 100 cases, 93 were females and 7 were males, being 13.3 : 1.TIRADS 4b showed maximum frequency with 40 patients. TIRADS 4a included 16 patients, TIRADS 4c included 15 patients, TIRADS 2 included 11 patients, TIRADS 5 included 10 patients, TIRADS 3 included 6 patients and TIRADS 1 included 2 patients. TIRADS 4b, 4c and 5 showed malignant cases. TIRADS 4b showed 7.5% malignant cases. TIRADS 4c showed 66.7% malignancy. TIRADS 5 showed 100% malignancy. CONCLUSION : Addition of TIRADS score to clinical suspicion is very much helpful in picking up high risk cases, especially in a country like India where the rural patient load is very high and follow up is not standardized. KEY WORDS: Fine needle aspiration cytology; Thyroid nodule; TIRADS" @default.
- W2597785251 created "2017-04-07" @default.
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- W2597785251 date "2016-06-06" @default.
- W2597785251 modified "2023-09-24" @default.
- W2597785251 title "A Study on Tirads Classification System in the Risk Stratification of Thyroid Swellings" @default.
- W2597785251 hasPublicationYear "2016" @default.
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