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Virtual touch tissue imaging and quantification (VTIQ) in the evaluation of thyroid nodules: the associated factors leading to misdiagnosis
To evaluate the associated factors leading to misdiagnosis with VTIQ for differentiation between benign from malignant thyroid nodules (TNs). The study included 238 benign TNs and 150 malignant TNs. Conventional ultrasound (US) features and VTIQ parameters were obtained and compared with the referen...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5291218/ https://www.ncbi.nlm.nih.gov/pubmed/28157195 http://dx.doi.org/10.1038/srep41958 |
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author | Sun, Cheng-Yu Lei, Kai-Rong Liu, Bo-Ji Bo, Xiao-Wan Li, Xiao-Long He, Ya-Ping Wang, Dan Ren, Wei-Wei Zhao, Chong-Ke Xu, Hui-Xiong |
author_facet | Sun, Cheng-Yu Lei, Kai-Rong Liu, Bo-Ji Bo, Xiao-Wan Li, Xiao-Long He, Ya-Ping Wang, Dan Ren, Wei-Wei Zhao, Chong-Ke Xu, Hui-Xiong |
author_sort | Sun, Cheng-Yu |
collection | PubMed |
description | To evaluate the associated factors leading to misdiagnosis with VTIQ for differentiation between benign from malignant thyroid nodules (TNs). The study included 238 benign TNs and 150 malignant TNs. Conventional ultrasound (US) features and VTIQ parameters were obtained and compared with the reference standard of histopathological and/or cytological results. Binary logistic regression analysis was performed to select independent variables leading to misdiagnosis. The maximum shear wave speed (SWS) (SWS-max), mean SWS (SWS-mean), SWS-ratio and standard deviation of SWS (SWS-(SD)) were significantly higher for malignant TNs compared with benign TNs (all P < 0.001). SWS-mean achieved the highest diagnostic performance with a cut-off value of 3.15 m/s. False positive rate was 13.4% (32/238) while false negative rate was 35.3% (53/150). Intranodular calcification (OR: 1.715) was significantly associated with false positive VTIQ findings, while nodule size (OR: 0.936) and echotexture of the thyroid gland (OR: 0.033) were negatively associated with them. Nodule depth (OR: 0.881) and TI-RADS category (OR: 0.563) were negatively associated with false negative VTIQ findings. These US characteristic of TNs should be taken into consideration when interpreting the results of VTIQ examinations. |
format | Online Article Text |
id | pubmed-5291218 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-52912182017-02-07 Virtual touch tissue imaging and quantification (VTIQ) in the evaluation of thyroid nodules: the associated factors leading to misdiagnosis Sun, Cheng-Yu Lei, Kai-Rong Liu, Bo-Ji Bo, Xiao-Wan Li, Xiao-Long He, Ya-Ping Wang, Dan Ren, Wei-Wei Zhao, Chong-Ke Xu, Hui-Xiong Sci Rep Article To evaluate the associated factors leading to misdiagnosis with VTIQ for differentiation between benign from malignant thyroid nodules (TNs). The study included 238 benign TNs and 150 malignant TNs. Conventional ultrasound (US) features and VTIQ parameters were obtained and compared with the reference standard of histopathological and/or cytological results. Binary logistic regression analysis was performed to select independent variables leading to misdiagnosis. The maximum shear wave speed (SWS) (SWS-max), mean SWS (SWS-mean), SWS-ratio and standard deviation of SWS (SWS-(SD)) were significantly higher for malignant TNs compared with benign TNs (all P < 0.001). SWS-mean achieved the highest diagnostic performance with a cut-off value of 3.15 m/s. False positive rate was 13.4% (32/238) while false negative rate was 35.3% (53/150). Intranodular calcification (OR: 1.715) was significantly associated with false positive VTIQ findings, while nodule size (OR: 0.936) and echotexture of the thyroid gland (OR: 0.033) were negatively associated with them. Nodule depth (OR: 0.881) and TI-RADS category (OR: 0.563) were negatively associated with false negative VTIQ findings. These US characteristic of TNs should be taken into consideration when interpreting the results of VTIQ examinations. Nature Publishing Group 2017-02-03 /pmc/articles/PMC5291218/ /pubmed/28157195 http://dx.doi.org/10.1038/srep41958 Text en Copyright © 2017, The Author(s) 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 Sun, Cheng-Yu Lei, Kai-Rong Liu, Bo-Ji Bo, Xiao-Wan Li, Xiao-Long He, Ya-Ping Wang, Dan Ren, Wei-Wei Zhao, Chong-Ke Xu, Hui-Xiong Virtual touch tissue imaging and quantification (VTIQ) in the evaluation of thyroid nodules: the associated factors leading to misdiagnosis |
title | Virtual touch tissue imaging and quantification (VTIQ) in the evaluation of thyroid nodules: the associated factors leading to misdiagnosis |
title_full | Virtual touch tissue imaging and quantification (VTIQ) in the evaluation of thyroid nodules: the associated factors leading to misdiagnosis |
title_fullStr | Virtual touch tissue imaging and quantification (VTIQ) in the evaluation of thyroid nodules: the associated factors leading to misdiagnosis |
title_full_unstemmed | Virtual touch tissue imaging and quantification (VTIQ) in the evaluation of thyroid nodules: the associated factors leading to misdiagnosis |
title_short | Virtual touch tissue imaging and quantification (VTIQ) in the evaluation of thyroid nodules: the associated factors leading to misdiagnosis |
title_sort | virtual touch tissue imaging and quantification (vtiq) in the evaluation of thyroid nodules: the associated factors leading to misdiagnosis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5291218/ https://www.ncbi.nlm.nih.gov/pubmed/28157195 http://dx.doi.org/10.1038/srep41958 |
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