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Abstract     Introduction: Thyroid gland or simply, thyroid in vertebrate anatomy is one of the largest endocrine glands. It is the first endocrine gland to appear in the fetus and is the only one which is amenable to direct physical examination because of its superficial location. Aims and Objectives: To Study of correlation of sonographic findings with that of pathological findings in differentiating benign from malignant thyroid lesions Materials and methods: Data for the study was collected from all the patients of clinically suspected thyroid diseases, who are referred for thyroid ultrasound to Department of Radiodiagnosis, attached to GMC and General Hospital, Latur. Study was done for a period of 2 years, from October 2011 to September 2013.Chi square test, percentage and proportions were used wherever applicable. EPI INFO version 3.5.1 software was used for data analysis. The sensitivity, specificity, positive predictive value, negative predictive value and accuracy were determined Result: The statistically significant features in differentiating malignant and benign pathologies are ill defined margins; heterogeneous echotexture; hypoechogenicity and calcification. A sensitivity greater than 65% are shown by heterogeneous echotexture (73.34%), ill-defined margins (73.34%), hypoechogenicity (73.34%) and internal flow pattern (66.67%). Highest specificity shown by microcalcification 97.87% although it shows the lowest sensitivity-54.54%, followed by ill-defined margins. A positive prediction value of 75% is shown by presence of microcalcification followed by ill-defined margins- 73.34%. Conclusion: USG has become the first-line imaging modality for evaluation of the thyroid gland, and has largely supplanted scintigraphy for thyroid evaluation due to excellent visualization of thyroid parenchyma, its high sensitivity in detection of small nodules, calcifications, and septations and cyst formation

Keywords: Thyroid lesions, hypoechogenicity, micro-calcification.

STATPERSON PUBLISHING GROUP | Aurangabad | Maharashtra |2016 | INDIA
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