Clinical pattern of thyroid swelling and their correlation with FNAC and HISTO-pathological diagnosis
Keywords:Goitre, Thyroid Swelling, FNAC, Histopathology
Introduction: Thyroid diseases are, arguably, among the commonest endocrine disorders worldwide. FNAC is widely accepted as the most accurate, sensitive, specific, and cost-effective diagnostic procedure in the preoperative assessment of thyroid nodules. Aims and objectives: the study was planned to study the clinical pattern of thyroid swellings and their correlation with histopathological diagnosis and efficacy of FNAC in comparison to histopathology was studied.Material and method: Fifty patients of thyroid swellings presenting to the department of Surgery, Pt. B.D. Sharma PGIMS, Rohtak from January 2014 to December 2018 were studied. All the patients of thyroid swellings admitted for thyroid surgery during this period were included in the study.Results: Majority of patients in the present study were female adults in their 30s. Swelling neck was the commonest presenting complaint. Most of the patients had solitary nodule on examination. Preoperative diagnosis in 48 patients was colloid goiter and 2 patients had papillary carcinoma according to FNAC reports. On final histo-pathological study, majority were diagnosed as colloid goiter with cyto-histological concordance rate of 77% for colloid goiter. Concordance rate for papillary carcinoma was 100%. FNAC failed to detect follicular carcinoma preoperatively. Rate of malignancy in our study was 6% and majority were papillary carcinoma. The sensitivity,specificity, positive predictive value,negative predictive value and accuracy of FNAC for evaluating thyroid swellings in our study were 77.08%, 80%,80%, 85.38% and 78.5% respectively.Conclusion: FNAC is sensitive for diagnosing colloid goiter in cases of thyroid swelling and FANC should treated as first line diagnostic test for thyroid swelling to guide management though this is not suitable for histopathological examination.
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Copyright (c) 2021 Yajandatta Sarangi, Sudhir Kumar, Aarushi Vashist, Anil Kumar Kaushik, Om parkash, M.G. Vashist
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