2014, Number 4
Positive predictive value of ultrasound in TI-RADS classification
Montaño-Ascencio PG, García-Baeza LG, Gómez-Vargas E, Pérez-Hernández JU
Full text
Language: Spanish
References: 5
Page: 361-368.
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ABSTRACT
Background: thyroid nodules have a prevalence of 67% in the adult human population. There is a pressing need to unify ultrasonographic criteria and parameters to identify cancer and to define benignancy with adequate predictive value. For this purpose, the TI-RADS (Thyroid Imaging Reporting and Data System) system of classification of thyroid nodules has been proposed.Objective: determine positive and negative predictive values, sensitivity and specificity of TI-RADS classification to standardize it and use it at Hospital General Regional de Leon.
Material and methods: study with a series of cases of patients referred to the Oncological Radiology service with clinical diagnosis of thyroid nodule; all patients who met all the established criteria were selected. Thyroid nodules were characterized with variables for the TI-RADS classification method.
Results: of 37 nodules characterized (benign: 28; follicular neoplasm: 1, and carcinoma: 8), the sensitivity, specificity, positive predictive value, and negative predictive value were: 87, 88, 80, and 93%, respectively, for TI-RADS 5.
Conclusion: TI-RADS classification is useful to standardize and characterize reporting of thyroid lesions to unify criteria, language and management of thyroid images diagnosed by echogram between the clinician and the radiologist.
REFERENCES
Young Kwak J , Kyung HH, Jung Hyun Y, Jung Moon H, Ju Son F, Hee Park S , Kyung Jung H, Soo Choi J , Mi Kim B, Eun-Kyung K. Thyroid Imaging Reporting and Data System for US Features of Nodules : A Step in Establishing Better Stratification of Cancer Risk. Radiology RSNA. Volume 260: Number 3 September 2011.