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Optimized algorithm in solid thyroid nodule elastography

The present study aimed to evaluate the reproducibility and accuracy of the optimized algorithm of shear-wave elastography (SWE) in diagnosing solid thyroid nodules. Two hundred and sixty-three solid thyroid nodules in 248 patients who underwent conventional ultrasound and SWE, respectively, by two...

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Autores principales: Wu, Hao, Chen, Qin, Liu, Yingxian, Chen, Jidong, Deng, Wanyue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7509691/
https://www.ncbi.nlm.nih.gov/pubmed/32994811
http://dx.doi.org/10.3892/ol.2020.12111
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author Wu, Hao
Chen, Qin
Liu, Yingxian
Chen, Jidong
Deng, Wanyue
author_facet Wu, Hao
Chen, Qin
Liu, Yingxian
Chen, Jidong
Deng, Wanyue
author_sort Wu, Hao
collection PubMed
description The present study aimed to evaluate the reproducibility and accuracy of the optimized algorithm of shear-wave elastography (SWE) in diagnosing solid thyroid nodules. Two hundred and sixty-three solid thyroid nodules in 248 patients who underwent conventional ultrasound and SWE, respectively, by two operators were scheduled for fine-needle aspiration or surgery. Elasticity indices of the mean, minimum and maximum of nodules (EI) and thyroid parenchyma (EInorm) were measured respectively in the same frame of elastographic images for three times by both operators. The intraobserver and interobserver reproducibility of the optimized algorithm were assessed by intraclass correlation coefficients (ICC). Diagnostic performance of the optimized algorithm was compared with that of conventional SWE measurements by receiver-operating characteristic (ROC) curves. Among a total of 243 nodules included, 121 were benign nodules and 122 were papillary thyroid carcinoma (PTC). Intraobserver reliability for EId and EIr was nearly perfect (ICC>0.80). Interobserver agreement for MEANd, MAXd, MEANr and MAXr was nearly perfect (ICC>0.80). MAXd had the largest areas under the ROC curve which was 0.82. Compared with conventional SWE, the optimized algorithm of SWE shows better reproducibility and performance in diagnosing solid thyroid nodules.
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spelling pubmed-75096912020-09-28 Optimized algorithm in solid thyroid nodule elastography Wu, Hao Chen, Qin Liu, Yingxian Chen, Jidong Deng, Wanyue Oncol Lett Articles The present study aimed to evaluate the reproducibility and accuracy of the optimized algorithm of shear-wave elastography (SWE) in diagnosing solid thyroid nodules. Two hundred and sixty-three solid thyroid nodules in 248 patients who underwent conventional ultrasound and SWE, respectively, by two operators were scheduled for fine-needle aspiration or surgery. Elasticity indices of the mean, minimum and maximum of nodules (EI) and thyroid parenchyma (EInorm) were measured respectively in the same frame of elastographic images for three times by both operators. The intraobserver and interobserver reproducibility of the optimized algorithm were assessed by intraclass correlation coefficients (ICC). Diagnostic performance of the optimized algorithm was compared with that of conventional SWE measurements by receiver-operating characteristic (ROC) curves. Among a total of 243 nodules included, 121 were benign nodules and 122 were papillary thyroid carcinoma (PTC). Intraobserver reliability for EId and EIr was nearly perfect (ICC>0.80). Interobserver agreement for MEANd, MAXd, MEANr and MAXr was nearly perfect (ICC>0.80). MAXd had the largest areas under the ROC curve which was 0.82. Compared with conventional SWE, the optimized algorithm of SWE shows better reproducibility and performance in diagnosing solid thyroid nodules. D.A. Spandidos 2020-11 2020-09-16 /pmc/articles/PMC7509691/ /pubmed/32994811 http://dx.doi.org/10.3892/ol.2020.12111 Text en Copyright: © Wu et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Wu, Hao
Chen, Qin
Liu, Yingxian
Chen, Jidong
Deng, Wanyue
Optimized algorithm in solid thyroid nodule elastography
title Optimized algorithm in solid thyroid nodule elastography
title_full Optimized algorithm in solid thyroid nodule elastography
title_fullStr Optimized algorithm in solid thyroid nodule elastography
title_full_unstemmed Optimized algorithm in solid thyroid nodule elastography
title_short Optimized algorithm in solid thyroid nodule elastography
title_sort optimized algorithm in solid thyroid nodule elastography
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7509691/
https://www.ncbi.nlm.nih.gov/pubmed/32994811
http://dx.doi.org/10.3892/ol.2020.12111
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