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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?

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 ne...

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Autores principales: de Andrade, Marina Nogueira, Costa, Julia Rodrigues, Sousa, Larissa Murici, Moreira, Luiz Felipe Guimarães Gualberto, Oliveira, Rayla Felizardo, Álvares, Maria Carolina Barbosa, Maia, Flávia Coimbra Pontes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Associação Médica Brasileira 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511278/
https://www.ncbi.nlm.nih.gov/pubmed/37729220
http://dx.doi.org/10.1590/1806-9282.20221694
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author de Andrade, Marina Nogueira
Costa, Julia Rodrigues
Sousa, Larissa Murici
Moreira, Luiz Felipe Guimarães Gualberto
Oliveira, Rayla Felizardo
Álvares, Maria Carolina Barbosa
Maia, Flávia Coimbra Pontes
author_facet de Andrade, Marina Nogueira
Costa, Julia Rodrigues
Sousa, Larissa Murici
Moreira, Luiz Felipe Guimarães Gualberto
Oliveira, Rayla Felizardo
Álvares, Maria Carolina Barbosa
Maia, Flávia Coimbra Pontes
author_sort de Andrade, Marina Nogueira
collection PubMed
description 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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spelling pubmed-105112782023-09-21 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? de Andrade, Marina Nogueira Costa, Julia Rodrigues Sousa, Larissa Murici Moreira, Luiz Felipe Guimarães Gualberto Oliveira, Rayla Felizardo Álvares, Maria Carolina Barbosa Maia, Flávia Coimbra Pontes Rev Assoc Med Bras (1992) Original Article 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. Associação Médica Brasileira 2023-09-18 /pmc/articles/PMC10511278/ /pubmed/37729220 http://dx.doi.org/10.1590/1806-9282.20221694 Text en https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
de Andrade, Marina Nogueira
Costa, Julia Rodrigues
Sousa, Larissa Murici
Moreira, Luiz Felipe Guimarães Gualberto
Oliveira, Rayla Felizardo
Álvares, Maria Carolina Barbosa
Maia, Flávia Coimbra Pontes
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?
title 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?
title_full 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?
title_fullStr 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?
title_full_unstemmed 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?
title_short 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?
title_sort 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?
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511278/
https://www.ncbi.nlm.nih.gov/pubmed/37729220
http://dx.doi.org/10.1590/1806-9282.20221694
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