Value of Ultrasound and Cytological Classification System to Predict the Malignancy of Thyroid Nodules with Indeterminate Cytology |
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Authors: | Frederico Fernandes Ribeiro Maia Patrícia S Matos Elizabeth J Pavin José Vassallo Denise E Zantut-Wittmann |
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Institution: | 1.Endocrinology Division, Department of Internal Medicine, Faculty of Medical Sciences,University of Campinas,Campinas,Brazil;2.Department of Pathology, Medical Science School,University of Campinas,Campinas,Brazil |
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Abstract: | Although fine-needle aspiration cytology is considered the gold standard for evaluating thyroid nodules, in about 10–30% of
the cases, cytology is indeterminate. This study aimed to determine the value of cytological classification system and ultrasound
(US) to predict malignancy in indeterminate thyroid nodule. This retrospective analysis enrolled 80 patients surgically treated
at a single center, 75% (60) with benign vs. 25% (20) with malignant lesions at final histology. The clinical, scintigraphic,
sonographic, and cytological classification (Bethesda) variables were analyzed in these selected cases of indeterminate cytology,
and a prediction model was designed after the multivariate analysis. There was a 25% prevalence of malignancy (20/80). There
were no differences in gender, serum thyroid-stimulating hormone and FT4 levels, thyroid auto-antibodies, thyroid dysfunction,
and scintigraphic results between benign and malignant nodule groups. The border irregularity in sonographic study was at
increased risk for malignancy. The cytological analysis based on Bethesda System (category IV) was an independent predictor
for malignancy in indeterminate thyroid nodules. After the multivariate analysis, the model obtained showed border irregularity
and Bethesda System category IV as predictive factors of malignancy in indeterminate thyroid nodules, featuring 76.9% of accuracy.
This study confirmed a significant increase of risk for malignancy in thyroid nodules with indeterminate cytology showing
Bethesda System category IV and suspicious features at US. These findings enhance our current limited predictive armamentarium
and can be used to guide surgical decision making. |
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