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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Associação Médica Brasileira
2023
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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. |
format | Online Article Text |
id | pubmed-10511278 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Associação Médica Brasileira |
record_format | MEDLINE/PubMed |
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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