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Quantitative differentiation of malignant and benign thyroid nodules with multi-parameter diffusion-weighted imaging

BACKGROUND: The value of conventional magnetic resonance imaging in the differential diagnosis of thyroid nodules is limited; however, the value of multi-parameter diffusion-weighted imaging (DWI) in the quantitative evaluation of thyroid nodules has not been well determined. AIM: To determine the u...

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Autores principales: Zhu, Xiang, Wang, Jia, Wang, Yan-Chun, Zhu, Ze-Feng, Tang, Jian, Wen, Xiao-Wei, Fang, Ying, Han, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453341/
https://www.ncbi.nlm.nih.gov/pubmed/36157818
http://dx.doi.org/10.12998/wjcc.v10.i24.8587
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author Zhu, Xiang
Wang, Jia
Wang, Yan-Chun
Zhu, Ze-Feng
Tang, Jian
Wen, Xiao-Wei
Fang, Ying
Han, Jun
author_facet Zhu, Xiang
Wang, Jia
Wang, Yan-Chun
Zhu, Ze-Feng
Tang, Jian
Wen, Xiao-Wei
Fang, Ying
Han, Jun
author_sort Zhu, Xiang
collection PubMed
description BACKGROUND: The value of conventional magnetic resonance imaging in the differential diagnosis of thyroid nodules is limited; however, the value of multi-parameter diffusion-weighted imaging (DWI) in the quantitative evaluation of thyroid nodules has not been well determined. AIM: To determine the utility of multi-parametric DWI including mono-exponential, bi-exponential, stretched exponential, and kurtosis models for the differentiation of thyroid lesions. METHODS: Seventy-nine patients (62 with benign and 17 with malignant nodules) underwent multi-b value diffusion-weighted imaging of the thyroid. Multiple DWI parameters were obtained for statistical analysis. RESULTS: Good agreement was found for diffusion parameters of thyroid nodules. Malignant lesions displayed lower diffusion parameters including apparent diffusion coefficient (ADC), the true diffusion coefficient (D), the perfusion fraction (f), the distributed diffusion coefficient (DDC), the intravoxel water diffusion heterogeneity (α) and kurtosis model-derived ADC (Dapp), and higher apparent diffusional kurtosis (Kapp) than benign entities (all P < 0.01), except for the pseudodiffusion coefficient (D*) (P > 0.05). The area under the ROC curve (AUC) of the ADC((0 and 1000)) was not significantly different from that of the ADC((0 and 2000)), ADC((0 to 2000)), ADC((0 to 1000)), D, DDC, Dapp and Kapp (all P > 0.05), but was significantly higher than the AUC of D*, f and α (all P < 0.05) for differentiating benign from malignant lesions. CONCLUSION: Multiple DWI parameters including ADC, D, f, DDC, α, Dapp and Kapp could discriminate benign and malignant thyroid nodules. The metrics including D, DDC, Dapp and Kapp provide additional information with similar diagnostic performance of ADC, combination of these metrics may contribute to differentiate benign and malignant thyroid nodules. The ADC calculated with higher b values may not lead to improved diagnostic performance.
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spelling pubmed-94533412022-09-23 Quantitative differentiation of malignant and benign thyroid nodules with multi-parameter diffusion-weighted imaging Zhu, Xiang Wang, Jia Wang, Yan-Chun Zhu, Ze-Feng Tang, Jian Wen, Xiao-Wei Fang, Ying Han, Jun World J Clin Cases Prospective Study BACKGROUND: The value of conventional magnetic resonance imaging in the differential diagnosis of thyroid nodules is limited; however, the value of multi-parameter diffusion-weighted imaging (DWI) in the quantitative evaluation of thyroid nodules has not been well determined. AIM: To determine the utility of multi-parametric DWI including mono-exponential, bi-exponential, stretched exponential, and kurtosis models for the differentiation of thyroid lesions. METHODS: Seventy-nine patients (62 with benign and 17 with malignant nodules) underwent multi-b value diffusion-weighted imaging of the thyroid. Multiple DWI parameters were obtained for statistical analysis. RESULTS: Good agreement was found for diffusion parameters of thyroid nodules. Malignant lesions displayed lower diffusion parameters including apparent diffusion coefficient (ADC), the true diffusion coefficient (D), the perfusion fraction (f), the distributed diffusion coefficient (DDC), the intravoxel water diffusion heterogeneity (α) and kurtosis model-derived ADC (Dapp), and higher apparent diffusional kurtosis (Kapp) than benign entities (all P < 0.01), except for the pseudodiffusion coefficient (D*) (P > 0.05). The area under the ROC curve (AUC) of the ADC((0 and 1000)) was not significantly different from that of the ADC((0 and 2000)), ADC((0 to 2000)), ADC((0 to 1000)), D, DDC, Dapp and Kapp (all P > 0.05), but was significantly higher than the AUC of D*, f and α (all P < 0.05) for differentiating benign from malignant lesions. CONCLUSION: Multiple DWI parameters including ADC, D, f, DDC, α, Dapp and Kapp could discriminate benign and malignant thyroid nodules. The metrics including D, DDC, Dapp and Kapp provide additional information with similar diagnostic performance of ADC, combination of these metrics may contribute to differentiate benign and malignant thyroid nodules. The ADC calculated with higher b values may not lead to improved diagnostic performance. Baishideng Publishing Group Inc 2022-08-26 2022-08-26 /pmc/articles/PMC9453341/ /pubmed/36157818 http://dx.doi.org/10.12998/wjcc.v10.i24.8587 Text en ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
spellingShingle Prospective Study
Zhu, Xiang
Wang, Jia
Wang, Yan-Chun
Zhu, Ze-Feng
Tang, Jian
Wen, Xiao-Wei
Fang, Ying
Han, Jun
Quantitative differentiation of malignant and benign thyroid nodules with multi-parameter diffusion-weighted imaging
title Quantitative differentiation of malignant and benign thyroid nodules with multi-parameter diffusion-weighted imaging
title_full Quantitative differentiation of malignant and benign thyroid nodules with multi-parameter diffusion-weighted imaging
title_fullStr Quantitative differentiation of malignant and benign thyroid nodules with multi-parameter diffusion-weighted imaging
title_full_unstemmed Quantitative differentiation of malignant and benign thyroid nodules with multi-parameter diffusion-weighted imaging
title_short Quantitative differentiation of malignant and benign thyroid nodules with multi-parameter diffusion-weighted imaging
title_sort quantitative differentiation of malignant and benign thyroid nodules with multi-parameter diffusion-weighted imaging
topic Prospective Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453341/
https://www.ncbi.nlm.nih.gov/pubmed/36157818
http://dx.doi.org/10.12998/wjcc.v10.i24.8587
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