TI-RADS CLASSIFICATION SYSTEM AND ITS FIRST APPLICATION IN THE ULTRASOUND DIAGNOSIS DEPARTMENT IN THE MULTI-SPECIALITY HOSPITAL
Introduction Ultrasonic examination is a most wide-spread method for thyroid gland visualizing and its structural pathology. But despite its high sensitivity while detecting nodal neoplasms, US is not a screening method, as it results in identification of a number of non-palpable nodes. After node detection the most important clinical issue is its malignant nature exclusion and we should determine indications for biopsy. In the world clinical experience to stratify the malignancy risk, various classification systems and scales have been developed. The most common classification system is TI-RADS. Aim To evaluate the TI-RADS classification efficacy for the thyroid gland nodular tumor diagnosis in a multispecialty hospital. Materials and methods We have analyzed ultrasound and cytological examination outcomes of the thyroid gland nodules were analyzed in 3383 patients (3758 nodes) by using our modified classification TI-RADS (J.Y. Kwak, 2011.). Results and conclusions Due to TI-RADS classification application, the number of ultrasound detected and cytological verified cancers in 2016 was 9.2% (previous rate was 5%). Biopsy number was reduced by 23% compared to the previous period. The sensitivity index of the TIRADS classification in our study was 94%, 64% specificity, and diagnostic efficiency was 70%. The obtained outcomes confirm TI-RADS classification viability in our routine practice, as well as the necessity to continue work and advance this system.