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Thyroid Imaging Reporting and Data System for Detecting Diffuse Thyroid Disease on Ultrasonography: A Single-Center Study

Objective: This study aimed to compare the ultrasonography (US) features of diffuse thyroid disease (DTD) and normal thyroid parenchyma (NTP), and to propose a structured imaging reporting system for detecting DTD. Methods: This retrospective study assessed the findings for 270 consecutive patients...

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Autores principales: Baek, Hye Jin, Kim, Dong Wook, Ryu, Kyeong Hwa, Shin, Gi Won, Park, Jin Young, Lee, Yoo Jin, Choo, Hye Jung, Park, Ha Kyoung, Ha, Tae Kwun, Kim, Do Hun, Jung, Soo Jin, Park, Ji Sun, Moon, Sung Ho, Ahn, Ki Jung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6857518/
https://www.ncbi.nlm.nih.gov/pubmed/31781043
http://dx.doi.org/10.3389/fendo.2019.00776
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author Baek, Hye Jin
Kim, Dong Wook
Ryu, Kyeong Hwa
Shin, Gi Won
Park, Jin Young
Lee, Yoo Jin
Choo, Hye Jung
Park, Ha Kyoung
Ha, Tae Kwun
Kim, Do Hun
Jung, Soo Jin
Park, Ji Sun
Moon, Sung Ho
Ahn, Ki Jung
author_facet Baek, Hye Jin
Kim, Dong Wook
Ryu, Kyeong Hwa
Shin, Gi Won
Park, Jin Young
Lee, Yoo Jin
Choo, Hye Jung
Park, Ha Kyoung
Ha, Tae Kwun
Kim, Do Hun
Jung, Soo Jin
Park, Ji Sun
Moon, Sung Ho
Ahn, Ki Jung
author_sort Baek, Hye Jin
collection PubMed
description Objective: This study aimed to compare the ultrasonography (US) features of diffuse thyroid disease (DTD) and normal thyroid parenchyma (NTP), and to propose a structured imaging reporting system for detecting DTD. Methods: This retrospective study assessed the findings for 270 consecutive patients who underwent thyroid US before thyroid surgery. The following US data were analyzed: DTD-specific features, parenchymal echotexture and echogenicity, anteroposterior diameter, glandular margin, and parenchymal vascularity. Univariate and multivariate analyses with generalized estimating equations were performed to investigate the relationship between US features and DTD. The fitted probability of DTD was analyzed by using a regression equation. Results: Of the 270 patients, there were NTP (n = 193), Hashimoto thyroiditis (n = 24), non-Hashimoto lymphocytic thyroiditis (n = 51), Graves' disease (n = 1), and diffuse hyperplasia (n = 1). The following US features were significantly associated with DTD: decreased or increased parenchymal echogenicity, coarse parenchymal echotexture, increased anteroposterior diameter, lobulated glandular margin, and increased parenchymal vascularity. Of these, coarse parenchymal echotexture was the most significant independent predictor of DTD. The numbers of abnormal US features were positively correlated with the fitted probability and risk of DTD. The diagnostic indices were highest when the chosen cut-off criterion was category III with the largest Az value (0.867, 95% confidence interval: 0.820–0.905), yielding a sensitivity of 68.8%, specificity of 92.2%, positive predictive value of 77.9%, negative predictive value of 88.1%, and accuracy of 85.6% (p < 0.001). Conclusions: Our sonographic reporting and data system may be useful for detecting DTD.
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spelling pubmed-68575182019-11-28 Thyroid Imaging Reporting and Data System for Detecting Diffuse Thyroid Disease on Ultrasonography: A Single-Center Study Baek, Hye Jin Kim, Dong Wook Ryu, Kyeong Hwa Shin, Gi Won Park, Jin Young Lee, Yoo Jin Choo, Hye Jung Park, Ha Kyoung Ha, Tae Kwun Kim, Do Hun Jung, Soo Jin Park, Ji Sun Moon, Sung Ho Ahn, Ki Jung Front Endocrinol (Lausanne) Endocrinology Objective: This study aimed to compare the ultrasonography (US) features of diffuse thyroid disease (DTD) and normal thyroid parenchyma (NTP), and to propose a structured imaging reporting system for detecting DTD. Methods: This retrospective study assessed the findings for 270 consecutive patients who underwent thyroid US before thyroid surgery. The following US data were analyzed: DTD-specific features, parenchymal echotexture and echogenicity, anteroposterior diameter, glandular margin, and parenchymal vascularity. Univariate and multivariate analyses with generalized estimating equations were performed to investigate the relationship between US features and DTD. The fitted probability of DTD was analyzed by using a regression equation. Results: Of the 270 patients, there were NTP (n = 193), Hashimoto thyroiditis (n = 24), non-Hashimoto lymphocytic thyroiditis (n = 51), Graves' disease (n = 1), and diffuse hyperplasia (n = 1). The following US features were significantly associated with DTD: decreased or increased parenchymal echogenicity, coarse parenchymal echotexture, increased anteroposterior diameter, lobulated glandular margin, and increased parenchymal vascularity. Of these, coarse parenchymal echotexture was the most significant independent predictor of DTD. The numbers of abnormal US features were positively correlated with the fitted probability and risk of DTD. The diagnostic indices were highest when the chosen cut-off criterion was category III with the largest Az value (0.867, 95% confidence interval: 0.820–0.905), yielding a sensitivity of 68.8%, specificity of 92.2%, positive predictive value of 77.9%, negative predictive value of 88.1%, and accuracy of 85.6% (p < 0.001). Conclusions: Our sonographic reporting and data system may be useful for detecting DTD. Frontiers Media S.A. 2019-11-08 /pmc/articles/PMC6857518/ /pubmed/31781043 http://dx.doi.org/10.3389/fendo.2019.00776 Text en Copyright © 2019 Baek, Kim, Ryu, Shin, Park, Lee, Choo, Park, Ha, Kim, Jung, Park, Moon and Ahn. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Baek, Hye Jin
Kim, Dong Wook
Ryu, Kyeong Hwa
Shin, Gi Won
Park, Jin Young
Lee, Yoo Jin
Choo, Hye Jung
Park, Ha Kyoung
Ha, Tae Kwun
Kim, Do Hun
Jung, Soo Jin
Park, Ji Sun
Moon, Sung Ho
Ahn, Ki Jung
Thyroid Imaging Reporting and Data System for Detecting Diffuse Thyroid Disease on Ultrasonography: A Single-Center Study
title Thyroid Imaging Reporting and Data System for Detecting Diffuse Thyroid Disease on Ultrasonography: A Single-Center Study
title_full Thyroid Imaging Reporting and Data System for Detecting Diffuse Thyroid Disease on Ultrasonography: A Single-Center Study
title_fullStr Thyroid Imaging Reporting and Data System for Detecting Diffuse Thyroid Disease on Ultrasonography: A Single-Center Study
title_full_unstemmed Thyroid Imaging Reporting and Data System for Detecting Diffuse Thyroid Disease on Ultrasonography: A Single-Center Study
title_short Thyroid Imaging Reporting and Data System for Detecting Diffuse Thyroid Disease on Ultrasonography: A Single-Center Study
title_sort thyroid imaging reporting and data system for detecting diffuse thyroid disease on ultrasonography: a single-center study
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6857518/
https://www.ncbi.nlm.nih.gov/pubmed/31781043
http://dx.doi.org/10.3389/fendo.2019.00776
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