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Research ArticleOpen Access

Accuracy of Fnac in Diagnosing Thyroid Nodules: A Single Institution Experience

Volume 1 - Issue 4

Ajay Kumar B*, Sreejayan MP and Vaisagh Remin

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    • Department of General Surgery, Government Medical College, India

    *Corresponding author: Ajay Kumar B, Assistant Professor, Department of General Surgery, Government Medical College, Kerala, India

Received: August 23, 2017;   Published: September 13, 2017

DOI: 10.26717/BJSTR.2017.01.000352

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Abstract

Background: FNA is the first-line investigation in the diagnosis of thyroid nodules.

Aims: To determine the accuracy of FNAC in diagnosing thyroid nodules. To identify the major cause of discrepancy in FNAC reports

Methods: The final histopathology report (HPR) of all thyroidectomies done from January 2008 to December 2010 was retrieved by a retrospective search in institutional databases. Corresponding FNAC reports were also retrieved. The correlation between FNAC and final histopathology was studied to determine the accuracy with which FNAC diagnosed thyroid disorders.

Results: The sensitivity and specificity of FNAC in diagnosing benign nodules is 92% and71.6% respectively. A. The sensitivity and specificity of FNAC for diagnosis of neoplasm is 81.6% and 92% respectively. B. The sensitivity and specificity of FNAC for diagnosis of malignancy is 87.8% and 98.2% respectively.

Conclusion: FNA is highly sensitive and specific in the diagnosis of thyroid nodules. Cytological similarities between hyperplasic nodule and follicular neoplasm are a major source of error.

Keywords: FNAC; Thyroid nodule; Follicular neoplasm; Malignancy

Abbreviations: TBSRTC: The Bethesda System for Reporting Thyroid Cytopathology; HPR: Histopathology Report; FVPCT: Follicular Variant of Papillary Carcinoma

Abstract| Introduction| Objectives| Materials And Methods| Results| Discussion| Conclusion| References|