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Diagnostic accuracy of computed tomography for differentiating diffuse thyroid disease from normal thyroid parenchyma: A multicenter study

This study aimed to assess the diagnostic performance of computed tomography (CT) for differentiating diffuse thyroid disease (DTD) from normal thyroid parenchyma (NTP) using multicenter data. Between January 2016 and June 2016, 229 patients underwent preoperative neck CT and subsequent thyroid surg...

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Autores principales: Baek, Hye Jin, Kim, Dong Wook, Lee, Yoo Jin, Choo, Hye Jung, Ahn, Hye Shin, Lim, Hyun Kyung, Ryu, Ji Hwa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6237331/
https://www.ncbi.nlm.nih.gov/pubmed/30439946
http://dx.doi.org/10.1371/journal.pone.0205507
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author Baek, Hye Jin
Kim, Dong Wook
Lee, Yoo Jin
Choo, Hye Jung
Ahn, Hye Shin
Lim, Hyun Kyung
Ryu, Ji Hwa
author_facet Baek, Hye Jin
Kim, Dong Wook
Lee, Yoo Jin
Choo, Hye Jung
Ahn, Hye Shin
Lim, Hyun Kyung
Ryu, Ji Hwa
author_sort Baek, Hye Jin
collection PubMed
description This study aimed to assess the diagnostic performance of computed tomography (CT) for differentiating diffuse thyroid disease (DTD) from normal thyroid parenchyma (NTP) using multicenter data. Between January 2016 and June 2016, 229 patients underwent preoperative neck CT and subsequent thyroid surgery at five participating institutions. The neck CT images of each patient were retrospectively reviewed and classified into the following four categories: no DTD, indeterminate, suspicious for DTD, and DTD. The results of the CT image evaluations were compared with the histopathological results to determine the diagnostic accuracy of CT at each institution. According to the histopathological results, there were NTP (n = 151), Hashimoto thyroiditis (n = 24), non-Hashimoto lymphocytic thyroiditis (n = 47), and diffuse hyperplasia (n = 7). The CT categories of the 229 patients were “no DTD” in 89 patients, “indeterminate” in 40 patients, “suspicious for DTD” in 42 patients, and “DTD” in 58 patients. The presence of two or more CT features of DTD, which was classified as “suspicious for DTD” by all radiologists, had the largest area under the receiver-operating characteristic curve (Az = 0.820; 95% confidence interval: 0.764, 0.868), with sensitivity of 85.9% and specificity of 78.2%. However, no statistical significance between readers’ experience and their diagnostic accuracy was found. In conclusion, evaluations of CT images are helpful for differentiating DTD from NTP.
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spelling pubmed-62373312018-12-01 Diagnostic accuracy of computed tomography for differentiating diffuse thyroid disease from normal thyroid parenchyma: A multicenter study Baek, Hye Jin Kim, Dong Wook Lee, Yoo Jin Choo, Hye Jung Ahn, Hye Shin Lim, Hyun Kyung Ryu, Ji Hwa PLoS One Research Article This study aimed to assess the diagnostic performance of computed tomography (CT) for differentiating diffuse thyroid disease (DTD) from normal thyroid parenchyma (NTP) using multicenter data. Between January 2016 and June 2016, 229 patients underwent preoperative neck CT and subsequent thyroid surgery at five participating institutions. The neck CT images of each patient were retrospectively reviewed and classified into the following four categories: no DTD, indeterminate, suspicious for DTD, and DTD. The results of the CT image evaluations were compared with the histopathological results to determine the diagnostic accuracy of CT at each institution. According to the histopathological results, there were NTP (n = 151), Hashimoto thyroiditis (n = 24), non-Hashimoto lymphocytic thyroiditis (n = 47), and diffuse hyperplasia (n = 7). The CT categories of the 229 patients were “no DTD” in 89 patients, “indeterminate” in 40 patients, “suspicious for DTD” in 42 patients, and “DTD” in 58 patients. The presence of two or more CT features of DTD, which was classified as “suspicious for DTD” by all radiologists, had the largest area under the receiver-operating characteristic curve (Az = 0.820; 95% confidence interval: 0.764, 0.868), with sensitivity of 85.9% and specificity of 78.2%. However, no statistical significance between readers’ experience and their diagnostic accuracy was found. In conclusion, evaluations of CT images are helpful for differentiating DTD from NTP. Public Library of Science 2018-11-15 /pmc/articles/PMC6237331/ /pubmed/30439946 http://dx.doi.org/10.1371/journal.pone.0205507 Text en © 2018 Baek et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Baek, Hye Jin
Kim, Dong Wook
Lee, Yoo Jin
Choo, Hye Jung
Ahn, Hye Shin
Lim, Hyun Kyung
Ryu, Ji Hwa
Diagnostic accuracy of computed tomography for differentiating diffuse thyroid disease from normal thyroid parenchyma: A multicenter study
title Diagnostic accuracy of computed tomography for differentiating diffuse thyroid disease from normal thyroid parenchyma: A multicenter study
title_full Diagnostic accuracy of computed tomography for differentiating diffuse thyroid disease from normal thyroid parenchyma: A multicenter study
title_fullStr Diagnostic accuracy of computed tomography for differentiating diffuse thyroid disease from normal thyroid parenchyma: A multicenter study
title_full_unstemmed Diagnostic accuracy of computed tomography for differentiating diffuse thyroid disease from normal thyroid parenchyma: A multicenter study
title_short Diagnostic accuracy of computed tomography for differentiating diffuse thyroid disease from normal thyroid parenchyma: A multicenter study
title_sort diagnostic accuracy of computed tomography for differentiating diffuse thyroid disease from normal thyroid parenchyma: a multicenter study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6237331/
https://www.ncbi.nlm.nih.gov/pubmed/30439946
http://dx.doi.org/10.1371/journal.pone.0205507
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