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Differentiation between benign and malignant thyroid nodules using diffusion-weighted imaging, a 3-T MRI study
BACKGROUND: Preoperative differentiation of benign from malignant thyroid nodules remains a challenge. Aims: This study assessed the accuracy of diffusion-weighted imaging (DWI) for differentiation between benign and malignant thyroid nodules. MATERIALS AND METHODS: Preoperative DWI was performed in...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6319093/ https://www.ncbi.nlm.nih.gov/pubmed/30662211 http://dx.doi.org/10.4103/ijri.IJRI_488_17 |
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author | Aghaghazvini, Leila Sharifian, Hashem Yazdani, Nasrin Hosseiny, Melina Kooraki, Saina Pirouzi, Pirouz Ghadiri, Afsoon Shakiba, Madjid Kooraki, Soheil |
author_facet | Aghaghazvini, Leila Sharifian, Hashem Yazdani, Nasrin Hosseiny, Melina Kooraki, Saina Pirouzi, Pirouz Ghadiri, Afsoon Shakiba, Madjid Kooraki, Soheil |
author_sort | Aghaghazvini, Leila |
collection | PubMed |
description | BACKGROUND: Preoperative differentiation of benign from malignant thyroid nodules remains a challenge. Aims: This study assessed the accuracy of diffusion-weighted imaging (DWI) for differentiation between benign and malignant thyroid nodules. MATERIALS AND METHODS: Preoperative DWI was performed in patients with thyroid nodule by means of a 3-T scanner magnetic resonance imaging (MRI). Images were obtained at b value of 50, 500, and 1000 mm(2)/s to draw an ADC (apparent diffusion coefficient) map. Findings were compared with postoperative histopathologic results. Receiver operating characteristic curve was used to assess the accuracy of different cutoff points. RESULTS: Forty-one thyroid nodules (26 benign and 15 malignant) were included in this study. None of static MRI parameters such as signal intensity, heterogeneity, and nodule border was useful to discriminate between benign and malignant lesions. Mean ADC value was (1.94 ± 0.54) × 10(-3) mm(2)/s and (0.89 ± 0.29) × 10(-3) mm(2)/s in benign and malignant nodules, respectively (P-value < 0.005). ADC value cutoff of 1 × 10(-3) mm(2)/s yielded an accuracy, sensitivity, and specificity of 93%, 87%, and 96% to discriminate benign and malignant nodules. CONCLUSION: DWI is highly accurate for discrimination between benign and malignant thyroid nodules. |
format | Online Article Text |
id | pubmed-6319093 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-63190932019-01-18 Differentiation between benign and malignant thyroid nodules using diffusion-weighted imaging, a 3-T MRI study Aghaghazvini, Leila Sharifian, Hashem Yazdani, Nasrin Hosseiny, Melina Kooraki, Saina Pirouzi, Pirouz Ghadiri, Afsoon Shakiba, Madjid Kooraki, Soheil Indian J Radiol Imaging Endocrine (Thyroid, Adrenal, Breast) BACKGROUND: Preoperative differentiation of benign from malignant thyroid nodules remains a challenge. Aims: This study assessed the accuracy of diffusion-weighted imaging (DWI) for differentiation between benign and malignant thyroid nodules. MATERIALS AND METHODS: Preoperative DWI was performed in patients with thyroid nodule by means of a 3-T scanner magnetic resonance imaging (MRI). Images were obtained at b value of 50, 500, and 1000 mm(2)/s to draw an ADC (apparent diffusion coefficient) map. Findings were compared with postoperative histopathologic results. Receiver operating characteristic curve was used to assess the accuracy of different cutoff points. RESULTS: Forty-one thyroid nodules (26 benign and 15 malignant) were included in this study. None of static MRI parameters such as signal intensity, heterogeneity, and nodule border was useful to discriminate between benign and malignant lesions. Mean ADC value was (1.94 ± 0.54) × 10(-3) mm(2)/s and (0.89 ± 0.29) × 10(-3) mm(2)/s in benign and malignant nodules, respectively (P-value < 0.005). ADC value cutoff of 1 × 10(-3) mm(2)/s yielded an accuracy, sensitivity, and specificity of 93%, 87%, and 96% to discriminate benign and malignant nodules. CONCLUSION: DWI is highly accurate for discrimination between benign and malignant thyroid nodules. Medknow Publications & Media Pvt Ltd 2018 /pmc/articles/PMC6319093/ /pubmed/30662211 http://dx.doi.org/10.4103/ijri.IJRI_488_17 Text en Copyright: © 2018 Indian Journal of Radiology and Imaging http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Endocrine (Thyroid, Adrenal, Breast) Aghaghazvini, Leila Sharifian, Hashem Yazdani, Nasrin Hosseiny, Melina Kooraki, Saina Pirouzi, Pirouz Ghadiri, Afsoon Shakiba, Madjid Kooraki, Soheil Differentiation between benign and malignant thyroid nodules using diffusion-weighted imaging, a 3-T MRI study |
title | Differentiation between benign and malignant thyroid nodules using diffusion-weighted imaging, a 3-T MRI study |
title_full | Differentiation between benign and malignant thyroid nodules using diffusion-weighted imaging, a 3-T MRI study |
title_fullStr | Differentiation between benign and malignant thyroid nodules using diffusion-weighted imaging, a 3-T MRI study |
title_full_unstemmed | Differentiation between benign and malignant thyroid nodules using diffusion-weighted imaging, a 3-T MRI study |
title_short | Differentiation between benign and malignant thyroid nodules using diffusion-weighted imaging, a 3-T MRI study |
title_sort | differentiation between benign and malignant thyroid nodules using diffusion-weighted imaging, a 3-t mri study |
topic | Endocrine (Thyroid, Adrenal, Breast) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6319093/ https://www.ncbi.nlm.nih.gov/pubmed/30662211 http://dx.doi.org/10.4103/ijri.IJRI_488_17 |
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