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Efficacy of Differential Diagnosis of Thyroid Nodules by Shear Wave Elastography, the Stiffness Map

Background: Fine-needle aspiration (FNA) is the first step in the differential diagnosis of thyroid nodules. However, malignancy rate of the indeterminate FNA is reported as 20-50 %. We aimed to evaluate the efficacy of shear wave elastography (SWE), the map of stiffness in the differential diagnosi...

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Autores principales: Yoo, Myung Hi, Kim, Hye Jeong, Choi, In Ho, Park, Suyeon, Yun, Sumi, Park, Hyeong Kyu, Byun, Dong Won, Suh, Kyoil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8090315/
http://dx.doi.org/10.1210/jendso/bvab048.1757
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author Yoo, Myung Hi
Kim, Hye Jeong
Choi, In Ho
Park, Suyeon
Yun, Sumi
Park, Hyeong Kyu
Byun, Dong Won
Suh, Kyoil
author_facet Yoo, Myung Hi
Kim, Hye Jeong
Choi, In Ho
Park, Suyeon
Yun, Sumi
Park, Hyeong Kyu
Byun, Dong Won
Suh, Kyoil
author_sort Yoo, Myung Hi
collection PubMed
description Background: Fine-needle aspiration (FNA) is the first step in the differential diagnosis of thyroid nodules. However, malignancy rate of the indeterminate FNA is reported as 20-50 %. We aimed to evaluate the efficacy of shear wave elastography (SWE), the map of stiffness in the differential diagnosis of the histopathology of thyroid nodules. Methods: We retrospectively reviewed the medical records of 258 consecutive patients who visited the thyroid clinic for thyroid nodules and who underwent SWE before ultrasound-guided FNA and/or core-needle biopsy. We analyzed the EI using the total nodular region of interest method by the Q-Box Trace program. Thyroid nodules were divided in to 4 categoies according to maximum elasticity (E(Max)) and nodule depth/width (D/W) ratio; Category 1 (E(Max) ≥42.6 kPa & D/W<0.9), Category 2 (E(Max) <42.6 kPa & D/W<0.9), Category 3 (E(Max) ≥42.6 kPa & D/W≥ 0.9) and Category 4 (E(Max)<46.2 kPa & D/W≥ 0.9). The cutoff value of E(Max) was set using ROC curve analysis to predict follicular neoplasm (FN) from nodular hyperplasia (NH). Cutoff value ​​for nodule D/W ratio was set using ROC curve analysis to differentiate malignant nodule. Results: FN showed the lowest E(Max) among all pathologies and lower E(Max) than NH (p<0.05). FN was distributed mostly in the category 2 (70%) and NH was distributed mainly in the category 1 (73.9%). CLT belonged mostly to the category 1 (57.1%). PTC belonged in majority to the category 3 (58.9%) and the rest.to the category 1 (25%). So NH was the most frequent pathology group in category 1.FN was the most frequent pathology group in the category 2 and PTC was the most frequent pathology group in the category 3. Conclusion: SWE showed characteristic patterns of various pathology groups reflecting the degree of fibrosis and the information of E(Max) and nodule depth/width (D/W) ratio determining the category was useful to predict the pathology of thyroid nodules along with the advantage of noninvasiveness.
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spelling pubmed-80903152021-05-06 Efficacy of Differential Diagnosis of Thyroid Nodules by Shear Wave Elastography, the Stiffness Map Yoo, Myung Hi Kim, Hye Jeong Choi, In Ho Park, Suyeon Yun, Sumi Park, Hyeong Kyu Byun, Dong Won Suh, Kyoil J Endocr Soc Thyroid Background: Fine-needle aspiration (FNA) is the first step in the differential diagnosis of thyroid nodules. However, malignancy rate of the indeterminate FNA is reported as 20-50 %. We aimed to evaluate the efficacy of shear wave elastography (SWE), the map of stiffness in the differential diagnosis of the histopathology of thyroid nodules. Methods: We retrospectively reviewed the medical records of 258 consecutive patients who visited the thyroid clinic for thyroid nodules and who underwent SWE before ultrasound-guided FNA and/or core-needle biopsy. We analyzed the EI using the total nodular region of interest method by the Q-Box Trace program. Thyroid nodules were divided in to 4 categoies according to maximum elasticity (E(Max)) and nodule depth/width (D/W) ratio; Category 1 (E(Max) ≥42.6 kPa & D/W<0.9), Category 2 (E(Max) <42.6 kPa & D/W<0.9), Category 3 (E(Max) ≥42.6 kPa & D/W≥ 0.9) and Category 4 (E(Max)<46.2 kPa & D/W≥ 0.9). The cutoff value of E(Max) was set using ROC curve analysis to predict follicular neoplasm (FN) from nodular hyperplasia (NH). Cutoff value ​​for nodule D/W ratio was set using ROC curve analysis to differentiate malignant nodule. Results: FN showed the lowest E(Max) among all pathologies and lower E(Max) than NH (p<0.05). FN was distributed mostly in the category 2 (70%) and NH was distributed mainly in the category 1 (73.9%). CLT belonged mostly to the category 1 (57.1%). PTC belonged in majority to the category 3 (58.9%) and the rest.to the category 1 (25%). So NH was the most frequent pathology group in category 1.FN was the most frequent pathology group in the category 2 and PTC was the most frequent pathology group in the category 3. Conclusion: SWE showed characteristic patterns of various pathology groups reflecting the degree of fibrosis and the information of E(Max) and nodule depth/width (D/W) ratio determining the category was useful to predict the pathology of thyroid nodules along with the advantage of noninvasiveness. Oxford University Press 2021-05-03 /pmc/articles/PMC8090315/ http://dx.doi.org/10.1210/jendso/bvab048.1757 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the Endocrine Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Thyroid
Yoo, Myung Hi
Kim, Hye Jeong
Choi, In Ho
Park, Suyeon
Yun, Sumi
Park, Hyeong Kyu
Byun, Dong Won
Suh, Kyoil
Efficacy of Differential Diagnosis of Thyroid Nodules by Shear Wave Elastography, the Stiffness Map
title Efficacy of Differential Diagnosis of Thyroid Nodules by Shear Wave Elastography, the Stiffness Map
title_full Efficacy of Differential Diagnosis of Thyroid Nodules by Shear Wave Elastography, the Stiffness Map
title_fullStr Efficacy of Differential Diagnosis of Thyroid Nodules by Shear Wave Elastography, the Stiffness Map
title_full_unstemmed Efficacy of Differential Diagnosis of Thyroid Nodules by Shear Wave Elastography, the Stiffness Map
title_short Efficacy of Differential Diagnosis of Thyroid Nodules by Shear Wave Elastography, the Stiffness Map
title_sort efficacy of differential diagnosis of thyroid nodules by shear wave elastography, the stiffness map
topic Thyroid
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8090315/
http://dx.doi.org/10.1210/jendso/bvab048.1757
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