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Comparative Evaluation of Thyroid Imaging Reporting and Data System (TIRADS) and Cytopathological Correlation in Thyroid Nodules

Abstract

Nalin Shankar Singh, BA Muthanna and Satyendra Raghuwanshi

Introduction: With the increasing availability of ultrasound and concern for malignancy, there has been significant increase in the detection of thyroid lesions. Almost all the cases of thyroid lesions are referred for ultrasound. However, there is no uniformity in the reporting pattern amongst radiologists and hence such ultrasound reports are mostly inconclusive to exclude thyroid malignancy. Therefore, most of the patients have to undergo avoidable Fine Needle Aspiration Cytology (FNAC) or Fine Needle Non-Aspiration Cytology (FNNAC). FNNAC or FNAC is invasive technique which is performed in most of the cases of thyroid nodules to ascertain the type of nodules. The sonographic assessment of thyroid nodule can provide can alternative method to this invasive modality of diagnosis. Therefore, the need was felt for establishing uniformity in ultrasound reporting of thyroid nodules and risk stratification for malignancy with aim of reducing unnecessary FNNAC. TIRADS classification brings uniformity in reporting and reduces ambiguity in management of the patients.

Objective: To perform comparative evaluation of Thyroid Imaging Reporting and Data System (TIRADS) and cytopathological evaluation of thyroid nodules FNNAC in Indian scenario.

Methodology: Multicentric prospective study was conducted in the department of radio diagnosis and department of surgery at defence service hospitals of Hisar and Jaipur during the study period of 01 July 2017 to 31 March 2018.

Results: Our study shows high degree of correlation between TIRADS classification and cytopathological evaluation of thyroid nodules. Hence TIRADS can be used an effective tool for avoiding unnecessary FNNAC procedures

Descargo de responsabilidad: este resumen se tradujo utilizando herramientas de inteligencia artificial y aún no ha sido revisado ni verificado

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