Histopathological and Cytological Correlation of Thyroid Nodules with Emphasis on Bethesda System for Reporting Thyroid Cytology- A 7 Year Study
Journal Title: International Journal of Contemporary Medical Research - Year 2018, Vol 5, Issue 1
Abstract
Introduction: Fine needle aspiration cytology (FNAC) has become the dominant method in the evaluation of thyroid nodules, being fast, reliable, safe, minimally invasive, cost effective and reaching high sensitivity and specificity. The study was undertaken with the main aim of evaluating the utility and efficacy of fine needle aspiration cytology and to study the histopathological pattern of various diseases of thyroid gland and evaluation of Grey-zone lesions of thyroid on FNAC and their pattern on histopathology Material and methods: The study was a hospital based study and was done in the department of pathology, Sher-i-Kashmir institute of medical sciences (SKIMS), Srinagar, Kashmir, to analyse patients with thyroid swellings and underwent both FNAC and histopathological examination of the swellings were included. This was a seven year study extending from May 2006 to April 2013 including a two year prospective study extending from May 2011 to April 2013, five year retrospective study from May 2006 to April 2011. Results: On FNAC according to Bethesda system most patients belong to Group II (benign). Grey-zone (B3and B4) comprised of 46 cases (11.5%) out of which 15 (32.2%) were malignant and 31 (67.3%) were benign on histopathology. Colloid goitre is the most common benign lesion of thyroid and papillary carcinoma is the most common malignancy observed. On excluding grey-zone cases the sensitivity, specificity and accuracy of FNAC is 92.2%, 72.5% and 83.5% respectively. Conclusion: A six tier reporting system for thyroid FNA is effective in categorizing the lesions and determining which patients need surgery versus follow-up and also guide the clinician on the extent of surgery. So, the Bethesda system of reporting thyroid cytology should be meticulously followed to minimise these errors
Authors and Affiliations
Tazeen Jeelani, Danish Rafiq, Wajahat –un Nazir, Yaavar Shafi, Naheena Bashir, Anu Charak, Nusrat Bashir, Shujat Ahmad, Barqul Afaq, Showkat Ahmad, K. M Baba
Keywords
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