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The Role of Shear Wave Elastography in the Discrimination Between Malignant and Benign Thyroid Nodules

BACKGROUND: Grayscale ultrasound (US) is the most common imaging modality for the assessment of thyroid nodules. OBJECTIVE: This research aimed to assess the value of using the elasticity index (EI), obtained using shear wave elastography (SWE), to discriminate between malignant and benign thyroid n...

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Autores principales: Tuan, Phung Anh, Duc, Nguyen Minh, An, Mac, Vien, Mai Van, Giang, Bui Van
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academy of Medical sciences 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7879443/
https://www.ncbi.nlm.nih.gov/pubmed/33627925
http://dx.doi.org/10.5455/aim.2020.28.248-253
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author Tuan, Phung Anh
Duc, Nguyen Minh
An, Mac
Vien, Mai Van
Giang, Bui Van
author_facet Tuan, Phung Anh
Duc, Nguyen Minh
An, Mac
Vien, Mai Van
Giang, Bui Van
author_sort Tuan, Phung Anh
collection PubMed
description BACKGROUND: Grayscale ultrasound (US) is the most common imaging modality for the assessment of thyroid nodules. OBJECTIVE: This research aimed to assess the value of using the elasticity index (EI), obtained using shear wave elastography (SWE), to discriminate between malignant and benign thyroid nodules. MATERIALS AND METHODS: A total of 86 patients (94 distinct thyroid nodules) were operated on at Vietnam National Cancer Hospital from June 2018 to June 2019. Comparisons of the grayscale ultrasound (US) findings and the EI values between the benign and malignant groups were performed using the Chi-square test and Student’s t-test, respectively. The discrimination abilities of EI were determined through receiver operating characteristic (ROC) curve analysis, with the computation of optimal cut-off points. RESULTS: The EI values of the benign and malignant groups were 37.6 ± 26.1 kPa and 105.4 ± 48.8 kPa, respectively. The area under the ROC curve (AUROC) value for discrimination between groups based on EI values was 0.889 when using an optimal cut-off point of 74.5 kPa, which resulted in a sensitivity of 74.3% and a specificity of 90%. Logistic multivariate regression analysis found that EI and microcalcification were significant factors for the discrimination between groups, with an odds ratio (OR): 1.487 [95% confidence interval (95% CI): 1.124–1.968, p = 0.005] and OR: 12.119 (95% CI: 2.031–72.323, p = 0.006), respectively. Combining grayscale US imaging with SWE can increase the specificity of the diagnosis but does not increase the accuracy. CONCLUSION: SWE can be helpful for predicting the malignancy of thyroid nodules, although the accuracy of this method is only moderate.
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spelling pubmed-78794432021-02-23 The Role of Shear Wave Elastography in the Discrimination Between Malignant and Benign Thyroid Nodules Tuan, Phung Anh Duc, Nguyen Minh An, Mac Vien, Mai Van Giang, Bui Van Acta Inform Med Original Paper BACKGROUND: Grayscale ultrasound (US) is the most common imaging modality for the assessment of thyroid nodules. OBJECTIVE: This research aimed to assess the value of using the elasticity index (EI), obtained using shear wave elastography (SWE), to discriminate between malignant and benign thyroid nodules. MATERIALS AND METHODS: A total of 86 patients (94 distinct thyroid nodules) were operated on at Vietnam National Cancer Hospital from June 2018 to June 2019. Comparisons of the grayscale ultrasound (US) findings and the EI values between the benign and malignant groups were performed using the Chi-square test and Student’s t-test, respectively. The discrimination abilities of EI were determined through receiver operating characteristic (ROC) curve analysis, with the computation of optimal cut-off points. RESULTS: The EI values of the benign and malignant groups were 37.6 ± 26.1 kPa and 105.4 ± 48.8 kPa, respectively. The area under the ROC curve (AUROC) value for discrimination between groups based on EI values was 0.889 when using an optimal cut-off point of 74.5 kPa, which resulted in a sensitivity of 74.3% and a specificity of 90%. Logistic multivariate regression analysis found that EI and microcalcification were significant factors for the discrimination between groups, with an odds ratio (OR): 1.487 [95% confidence interval (95% CI): 1.124–1.968, p = 0.005] and OR: 12.119 (95% CI: 2.031–72.323, p = 0.006), respectively. Combining grayscale US imaging with SWE can increase the specificity of the diagnosis but does not increase the accuracy. CONCLUSION: SWE can be helpful for predicting the malignancy of thyroid nodules, although the accuracy of this method is only moderate. Academy of Medical sciences 2020-12 /pmc/articles/PMC7879443/ /pubmed/33627925 http://dx.doi.org/10.5455/aim.2020.28.248-253 Text en © 2020 Phung Anh Tuan, Nguyen Minh Duc, Mac An, Mai Van Vien, Bui Van Giang http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Paper
Tuan, Phung Anh
Duc, Nguyen Minh
An, Mac
Vien, Mai Van
Giang, Bui Van
The Role of Shear Wave Elastography in the Discrimination Between Malignant and Benign Thyroid Nodules
title The Role of Shear Wave Elastography in the Discrimination Between Malignant and Benign Thyroid Nodules
title_full The Role of Shear Wave Elastography in the Discrimination Between Malignant and Benign Thyroid Nodules
title_fullStr The Role of Shear Wave Elastography in the Discrimination Between Malignant and Benign Thyroid Nodules
title_full_unstemmed The Role of Shear Wave Elastography in the Discrimination Between Malignant and Benign Thyroid Nodules
title_short The Role of Shear Wave Elastography in the Discrimination Between Malignant and Benign Thyroid Nodules
title_sort role of shear wave elastography in the discrimination between malignant and benign thyroid nodules
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7879443/
https://www.ncbi.nlm.nih.gov/pubmed/33627925
http://dx.doi.org/10.5455/aim.2020.28.248-253
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