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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 :
Angelo Filippini
Salvatore Sorrenti
Francesco Tartaglia
Antonio Catania
Stefano Arcieri
Francesco Nardi
Valeria Guglielmino
Corrado De Vito
Daniela Bosco
Angela Nesca
Salvatore Ulisse
Valeria Ascoli
Eleonora D'Armiento
Daniele Pironi
Massimo Monti
Source :
International Journal of Endocrinology, Vol 2017 (2017), International Journal of Endocrinology
Publication Year :
2017
Publisher :
Hindawi Limited, 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.

Details

ISSN :
16878345 and 16878337
Volume :
2017
Database :
OpenAIRE
Journal :
International Journal of Endocrinology
Accession number :
edsair.doi.dedup.....255d6284ac95fa69a4c65b9e6793e131
Full Text :
https://doi.org/10.1155/2017/9692304