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A Modified Thyroid Imaging Reporting and Data System (mTI-RADS) For Thyroid Nodules in Coexisting Hashimoto’s Thyroiditis
To develop a conventional ultrasound (US) modified Thyroid Imaging Reporting and Data System (mTI-RADS) to stratify the malignancy risk of thyroid nodule in coexisting Hashimoto’s thyroiditis (HT). The study included 138 malignant and 292 benign thyroid nodules confirmed by cytological or histopatho...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4872201/ https://www.ncbi.nlm.nih.gov/pubmed/27194206 http://dx.doi.org/10.1038/srep26410 |
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author | Zhou, Hang Yue, Wen-Wen Du, Lin-Yao Xu, Jun-Mei Liu, Bo-Ji Li, Xiao-Long Wang, Dan Zhou, Xian-Li Xu, Hui-Xiong |
author_facet | Zhou, Hang Yue, Wen-Wen Du, Lin-Yao Xu, Jun-Mei Liu, Bo-Ji Li, Xiao-Long Wang, Dan Zhou, Xian-Li Xu, Hui-Xiong |
author_sort | Zhou, Hang |
collection | PubMed |
description | To develop a conventional ultrasound (US) modified Thyroid Imaging Reporting and Data System (mTI-RADS) to stratify the malignancy risk of thyroid nodule in coexisting Hashimoto’s thyroiditis (HT). The study included 138 malignant and 292 benign thyroid nodules confirmed by cytological or histopathological results. The risk score (RS) for each significant US feature was estimated by multiplying corresponding regression coefficient and the total score for each nodule was defined as the sum of these individual scores. The mTI-RADS was established according to the total RS and divided into category 3, 4a, 4b, 4c and 5. Marked hypoechogenicity, taller-than-wide shape, poorly-defined margin, microcalcification or macrocalcification and halo sign absence were statistically significant US features in prediction of thyroid malignancy (all p < 0.05). The total RS for each nodule was defined as following: RS = 2.1× (if marked hypoechogenicity) + 1.2× (if taller-than-wide shape) + 1.7× (if no halo sign) + 0.6× (if poorly-defined margin) + 1.2× (if microcalcification or macrocalcification). The malignancy rates in mTI-RADS category 3, 4a, 4b, 4c and 5 nodules were 3.7%, 19.3%, 38.1%, 62.7% and 94.1%, respectively, with significant differences among different categories (P < 0.001). The mTI-RADS category may facilitate subsequent treatment management in HT patients. |
format | Online Article Text |
id | pubmed-4872201 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48722012016-06-01 A Modified Thyroid Imaging Reporting and Data System (mTI-RADS) For Thyroid Nodules in Coexisting Hashimoto’s Thyroiditis Zhou, Hang Yue, Wen-Wen Du, Lin-Yao Xu, Jun-Mei Liu, Bo-Ji Li, Xiao-Long Wang, Dan Zhou, Xian-Li Xu, Hui-Xiong Sci Rep Article To develop a conventional ultrasound (US) modified Thyroid Imaging Reporting and Data System (mTI-RADS) to stratify the malignancy risk of thyroid nodule in coexisting Hashimoto’s thyroiditis (HT). The study included 138 malignant and 292 benign thyroid nodules confirmed by cytological or histopathological results. The risk score (RS) for each significant US feature was estimated by multiplying corresponding regression coefficient and the total score for each nodule was defined as the sum of these individual scores. The mTI-RADS was established according to the total RS and divided into category 3, 4a, 4b, 4c and 5. Marked hypoechogenicity, taller-than-wide shape, poorly-defined margin, microcalcification or macrocalcification and halo sign absence were statistically significant US features in prediction of thyroid malignancy (all p < 0.05). The total RS for each nodule was defined as following: RS = 2.1× (if marked hypoechogenicity) + 1.2× (if taller-than-wide shape) + 1.7× (if no halo sign) + 0.6× (if poorly-defined margin) + 1.2× (if microcalcification or macrocalcification). The malignancy rates in mTI-RADS category 3, 4a, 4b, 4c and 5 nodules were 3.7%, 19.3%, 38.1%, 62.7% and 94.1%, respectively, with significant differences among different categories (P < 0.001). The mTI-RADS category may facilitate subsequent treatment management in HT patients. Nature Publishing Group 2016-05-19 /pmc/articles/PMC4872201/ /pubmed/27194206 http://dx.doi.org/10.1038/srep26410 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Zhou, Hang Yue, Wen-Wen Du, Lin-Yao Xu, Jun-Mei Liu, Bo-Ji Li, Xiao-Long Wang, Dan Zhou, Xian-Li Xu, Hui-Xiong A Modified Thyroid Imaging Reporting and Data System (mTI-RADS) For Thyroid Nodules in Coexisting Hashimoto’s Thyroiditis |
title | A Modified Thyroid Imaging Reporting and Data System (mTI-RADS) For Thyroid Nodules in Coexisting Hashimoto’s Thyroiditis |
title_full | A Modified Thyroid Imaging Reporting and Data System (mTI-RADS) For Thyroid Nodules in Coexisting Hashimoto’s Thyroiditis |
title_fullStr | A Modified Thyroid Imaging Reporting and Data System (mTI-RADS) For Thyroid Nodules in Coexisting Hashimoto’s Thyroiditis |
title_full_unstemmed | A Modified Thyroid Imaging Reporting and Data System (mTI-RADS) For Thyroid Nodules in Coexisting Hashimoto’s Thyroiditis |
title_short | A Modified Thyroid Imaging Reporting and Data System (mTI-RADS) For Thyroid Nodules in Coexisting Hashimoto’s Thyroiditis |
title_sort | modified thyroid imaging reporting and data system (mti-rads) for thyroid nodules in coexisting hashimoto’s thyroiditis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4872201/ https://www.ncbi.nlm.nih.gov/pubmed/27194206 http://dx.doi.org/10.1038/srep26410 |
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