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American Thyroid Association and Thyroid Imaging Reporting and Data System developed by the American College of Radiology: which one is better at predicting malignancy risk?
Andrade, Marina Nogueira de; Costa, Julia Rodrigues; Sousa, Larissa Murici; Moreira, Luiz Felipe Guimarães Gualberto; Oliveira, Rayla Felizardo; Álvares, Maria Carolina Barbosa; Maia, Flávia Coimbra Pontes.
Afiliação
  • Andrade, Marina Nogueira de; Santa Casa de Belo Horizonte. Belo Horizonte. BR
  • Costa, Julia Rodrigues; Faculdade de Ciências Médicas de Minas Gerais. Belo Horizonte. BR
  • Sousa, Larissa Murici; Faculdade de Ciências Médicas de Minas Gerais. Belo Horizonte. BR
  • Moreira, Luiz Felipe Guimarães Gualberto; Faculdade de Ciências Médicas de Minas Gerais. Belo Horizonte. BR
  • Oliveira, Rayla Felizardo; Santa Casa de Belo Horizonte. Belo Horizonte. BR
  • Álvares, Maria Carolina Barbosa; Santa Casa de Belo Horizonte. Belo Horizonte. BR
  • Maia, Flávia Coimbra Pontes; Santa Casa de Belo Horizonte. Belo Horizonte. BR
Rev. Assoc. Med. Bras. (1992, Impr.) ; Rev. Assoc. Med. Bras. (1992, Impr.);69(10): e20221694, 2023. tab
Article em En | LILACS-Express | LILACS | ID: biblio-1514689
Biblioteca responsável: BR1.1
ABSTRACT
SUMMARY

OBJECTIVE:

The aim of this study was to compare the capacity of American Thyroid Association and Thyroid Imaging Reporting and Data System developed by the American College of Radiology in predicting malignancy risk of thyroid nodules and to verify which one is better at avoiding unnecessary fine needle aspiration.

METHODS:

This was a cross-sectional study with 565 thyroid nodules, followed at a tertiary care hospital, in an iodine-replete area. Those were classified as American Thyroid Association and Thyroid Imaging Reporting and Data System developed by the American College of Radiology systems and stratified according to the Bethesda classification of fine needle aspiration. The values of sensibility, specificity, positive predictive value, and negative predictive value accuracy were calculated. Also, the percentage of unnecessary biopsies was presented.

RESULTS:

The mean age of the individuals was 58.2±13.5 [26-90] years for benign nodules and 41.7±15.6 [23-66] years for malignant nodules (p=0.002). Regarding gender, 92.6% (n=150) of the individuals with benign nodules and 85.7% (n=06) with malignant nodules were females (p=0.601). For American Thyroid Association, 90.9% of sensibility, 51.4% of specificity, 52.6% of accuracy, 10.2% of positive predictive value, and 98.9% of negative predictive value were found. For Thyroid Imaging Reporting and Data System developed by the American College of Radiology, 90.9% of sensibility, 49.7% of specificity, 52.1% of accuracy, 9.9% of positive predictive value, and 98.9% of negative predictive value were found. .Notably, 12.3% of unnecessary fine needle aspiration were found in American Thyroid Association and 44.4% were found in Thyroid Imaging Reporting and Data System developed by the American College of Radiology.

CONCLUSION:

Both Thyroid Imaging Reporting and Data System developed by the American College of Radiology and American Thyroid Association are able to predict the malignancy risk of thyroid nodules. Thyroid Imaging Reporting and Data System developed by the American College of Radiology was better at avoiding unnecessary fine needle aspiration.
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Texto completo: 1 Índice: LILACS Idioma: En Revista: Rev. Assoc. Med. Bras. (1992, Impr.) Assunto da revista: Educa‡Æo em Sa£de / GestÆo do Conhecimento para a Pesquisa em Sa£de / MEDICINA Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Índice: LILACS Idioma: En Revista: Rev. Assoc. Med. Bras. (1992, Impr.) Assunto da revista: Educa‡Æo em Sa£de / GestÆo do Conhecimento para a Pesquisa em Sa£de / MEDICINA Ano de publicação: 2023 Tipo de documento: Article