CYTOMORPHOLOGICAL CATEGORIZATION OF THYROID LESION ACCORDING TO THE BETHESDA SYSTEM FOR REPORTING THYROID CYTOLOGY AND CORRELATION WITH THEIR HISTOLOGICAL OUTCOME AND TIRADS
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Keywords
Thyroid Nodule; FNAC; TBSRTC; TIRADS; Cytopathology
Abstract
Background and Aims: Thyroid nodules are common and increasingly detected through imaging. Fine Needle Aspiration Cytology (FNAC) and the Bethesda System (TBSRTC) are widely used for diagnostic stratification. This study aimed to categorize thyroid lesions cytologically per TBSRTC and correlate them with TIRADS classification and histopathological outcomes to enhance diagnostic accuracy.
Methods: This retrospective study was conducted from January 2023 to May 2024 at SRMS-IMS, Bareilly, after ethical committee approval. FNAC samples (22–24G needle) were stained with MGG and Pap stains. Data from 122 cases were analyzed and correlated with TIRADS and histopathology. Descriptive and inferential statistics were applied.
Results: FNAC showed 92% NPV and 100% PPV with 90% sensitivity and 64% specificity. ROM in Bethesda IV and TIRADS 4 was 70% and 50% respectively.
Conclusion: Combining TBSRTC and TIRADS enhances malignancy prediction and improves thyroid nodule management.
References
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Dr Shihij chaku
Junior resident, Shri Ram Murti Smarak Institute of Medical Science, Bareilly.
Dr Surabhi Pandey
Professor, Shri Ram Murti Smarak Institute of Medical Science, Bareilly.
Shubhnita Garg
Assistant Professor, Shri Ram Murti Smarak Institute of Medical Science, Bareilly.
Dr Tanu Agrawal
HOD& Professor, Shri Ram Murti Smarak Institute of Medical Science, Bareilly.