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Thyroid Imaging Reporting and Data System Score Combined with the New Italian Classification for Thyroid Cytology Improves the Clinical Management of Indeterminate Nodules.

Authors :
Ulisse, Salvatore
Bosco, Daniela
Nardi, Francesco
Nesca, Angela
D’Armiento, Eleonora
Guglielmino, Valeria
De Vito, Corrado
Sorrenti, Salvatore
Pironi, Daniele
Tartaglia, Francesco
Arcieri, Stefano
Catania, Antonio
Monti, Massimo
Filippini, Angelo
Ascoli, Valeria
Source :
International Journal of Endocrinology. 3/1/2017, p1-8. 8p.
Publication Year :
2017

Abstract

The new Italian cytological classification (2014) of thyroid nodules replaced the TIR3 category of the old classification (2007) with two subclasses, TIR3A and TIR3B, with the aim of reducing the rate of surgery for benign diseases. Moreover, thyroid imaging reporting and data system (TI-RADS) score appears to ameliorate the stratification of the malignancy risk. We evaluated whether the new Italian classification has improved diagnostic accuracy and whether its association with TI-RADS score could improve malignancy prediction. We retrospectively analyzed 70 nodules from 70 patients classified as TIR3 according to the old Italian classification who underwent surgery for histological diagnosis. Of these, 51 were available for cytological revision according to the new Italian cytological classification. Risk of malignancy was determined for TIR3A and TIR3B, TI-RADS score, and their combination. A different rate of malignancy (p=0.0286) between TIR3A (13.04%) and TIR3B (44.44%) was observed. Also TI-RADS score is significantly (p=0.003) associated with malignancy. By combining cytology and TI-RADS score, patients could be divided into three groups with low (8.3%), intermediate (21.4%), and high (80%) risk of malignancy. In conclusion, the new Italian cytological classification has an improved diagnostic accuracy. Interestingly, the combination of cytology and TI-RADS score offers a better stratification of the malignancy risk. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16878337
Database :
Academic Search Index
Journal :
International Journal of Endocrinology
Publication Type :
Academic Journal
Accession number :
121503845
Full Text :
https://doi.org/10.1155/2017/9692304