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1.
Arch. endocrinol. metab. (Online) ; 67(4): e000608, Mar.-Apr. 2023. tab, graf
Artigo em Inglês | LILACS-Express | LILACS | ID: biblio-1439235

RESUMO

ABSTRACT Objective: The aim of this study was to determine whether classifying hypoechogenicity in three degrees (mild, moderate, and marked) could improve the distinction between benign and malignant nodules and whether such an approach could influence Category 4 of the Thyroid Imaging Reporting and Data System (TI-RADS). Materials and methods: In total, 2,574 nodules submitted to fine needle aspiration, classified by the Bethesda System, were retrospectively assessed. Further, a subanalysis considering solid nodules without any additional suspicious findings (n = 565) was performed with the purpose of evaluating mainly TI-RADS 4 nodules. Results: Mild hypoechogenicity was significantly less related to malignancy (odds ratio [OR]: 1.409; CI: 1.086-1.829; p = 0.01), compared to moderate (OR: 4.775; CI: 3.700-6.163; p < 0.001) and marked hypoechogenicity (OR: 8.540; CI: 6.355-11.445; p < 0.001). In addition, mild hypoechogenicity (20.7%) and iso-hyperechogenicity (20.5%) presented a similar rate in the malignant sample. Regarding the subanalysis, no significant association was found between mildly hypoechoic solid nodules and cancer. Conclusion: Stratifying hypoechogenicity into three degrees influences the confidence in the assessment of the rate of malignancy, indicating that mild hypoechogenicity has a unique low-risk biological behavior that resembles iso-hyperechogenicity, but with minor malignant potential when compared to moderate and marked hypoechogenicity, with special influence on the TI-RADS 4 category.

2.
Arch. endocrinol. metab. (Online) ; 61(3): 211-221, May-June 2017. tab, graf
Artigo em Inglês | LILACS | ID: biblio-887550

RESUMO

ABSTRACT Objective The aim of this study was to describe the ultrasound features of benign and malignant thyroid nodules and evaluate the likelihood of malignancy associated with each feature according to the Bethesda System for Reporting Thyroid Cytopathology and histopathology. With this analysis, we propose a new TI-RADS classification system. Materials and methods The likelihood of malignancy from ultrasound features were assessed in 1413 thyroid nodules according to the Bethesda System for Reporting Thyroid Cytopathology and histopathological findings. A score was established by attributing different weights to each ultrasound feature evaluated. Results Features positively associated with malignancy in bivariate analysis received a score weight of +1. We attributed a weight of +2 to features which were independently associated with malignancy in a multivariate analysis and +3 for those associated with the highest odds ratio for malignancy (> 10.0). Hence, hypoechogenicity (graded as mild, moderate or marked, according to a comparison with the overlying strap muscle), microcalcification and irregular/microlobulated margin received the highest weights in our scoring system. Features that were negatively associated with malignancy received weights of -2 or -1. In the proposed system a cutoff score of 2 (sensitivity 97.4% and specificity 51.6%) was adopted as a transition between probably benign (TI-RADS 3) and TI-RADS 4a nodules. Overall, the frequency of malignancy in thyroid nodules according to the categories was 1.0% for TI-RADS 3, 7.8% for TI-RADS 4a, 35.3% for TI-RADS 4b, and 84.7% for TI-RADS 5. Conclusion A newly proposed TI-RADS classification adequately assessed the likelihood of malignancy in thyroid nodules.


Assuntos
Humanos , Masculino , Feminino , Adulto , Pessoa de Meia-Idade , Glândula Tireoide/patologia , Glândula Tireoide/diagnóstico por imagem , Nódulo da Glândula Tireoide/patologia , Nódulo da Glândula Tireoide/diagnóstico por imagem , Padrões de Referência , Índice de Gravidade de Doença , Análise Multivariada , Reprodutibilidade dos Testes , Estudos Retrospectivos , Ultrassonografia/métodos , Sensibilidade e Especificidade , Nódulo da Glândula Tireoide/classificação , Medição de Risco , Biópsia por Agulha Fina , Carga Tumoral , Gradação de Tumores
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