ECE2018 ePoster Presentations Thyroid (37 abstracts)
1Republican Specialized Scientific and Practical Medical Center of Endocrinology Uzbekistan, Tashkent, Uzbekistan; 2Tashkent Medical Academy, Tashkent, Uzbekistan.
Purpose: To assess the sensitivity and specificity of the cytomorphological method in the diagnosis of the nosological variant of nodal goiter.
Materials and methods: A comparison of the results of cytological and histological studies of thyroid nodules in 36 patients (15 women and 11 men, average age 54.2±9 years), operated for nodular goiter. Cytological findings were divided into 4 categories: non-informative material, benign lesion, follicular neoplasia, malignant formation.
Results: The analysis of the results of cytological research showed that 17 (47.2%) cases were given the conclusions non-informative material, 14 (38.9%) benign lesion, in 5 (13.9%) - follicular neoplasia, and not a single conclusion malignant formation. According to the results of histological examination, in 10 (58.8%) cases, colloidal proliferating nodes were diagnosed in different categories, in 6 (35.3%) - follicular adenoma, in 1 (5.9%) - papillary cancer. Among the conclusions of the category benign lesion in 9 (64.3%) cases, according to the results of histological examination, colloidal proliferative nodes in different degrees were diagnosed, in 5 (35.7%) - follicular adenoma. Among the conclusions of the category follicular neoplasia in 3 (60%) cases - follicular adenoma, in 1 (20%) - colloidal proliferative nodes in different degrees, in 1 (20%) - papillary cancer. The sensitivity of the cytomorphological method of diagnosis of nodular colloid goiter was 44%, specificity-69%, follicular neoplasia 20 and 91%.
Conclusions: The results of the study showed a high percentage of the conclusions of the category non-informative material and identified malignant formations in this category, which significantly reduces the sensitivity of the cytomorphological diagnostic method at the preoperative stage with nodular goiter and requires unification and optimization of both FNA and cytological classification.