Quantitative Assessment of Thyroid Nodules Using Dual-Energy Computed Tomography: Iodine Concentration Measurement and Multiparametric Texture Analysis for Differentiating between Malignant and Benign Lesions

Background and Objectives. Thyroid nodules are increasingly being detected during cross-sectional imaging of the neck and chest. The purpose of this study is to investigate the efficacy of dual-energy computed tomography (DECT) using iodine concentration measurement and multiparametric texture analy...

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Main Authors: Hayato Tomita, Hirofumi Kuno, Kotaro Sekiya, Katharina Otani, Osamu Sakai, Baojun Li, Takashi Hiyama, Keiichi Nomura, Hidefumi Mimura, Tatsushi Kobayashi
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:International Journal of Endocrinology
Online Access:http://dx.doi.org/10.1155/2020/5484671
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author Hayato Tomita
Hirofumi Kuno
Kotaro Sekiya
Katharina Otani
Osamu Sakai
Baojun Li
Takashi Hiyama
Keiichi Nomura
Hidefumi Mimura
Tatsushi Kobayashi
author_facet Hayato Tomita
Hirofumi Kuno
Kotaro Sekiya
Katharina Otani
Osamu Sakai
Baojun Li
Takashi Hiyama
Keiichi Nomura
Hidefumi Mimura
Tatsushi Kobayashi
author_sort Hayato Tomita
collection DOAJ
description Background and Objectives. Thyroid nodules are increasingly being detected during cross-sectional imaging of the neck and chest. The purpose of this study is to investigate the efficacy of dual-energy computed tomography (DECT) using iodine concentration measurement and multiparametric texture analysis of monochromatic images for differentiating between benign and malignant thyroid nodules. Materials and Methods. This retrospective study included 34 consecutive patients who presented with thyroid nodules and underwent noncontrast DECT between 2015 and 2016. Manual segmentation of each thyroid nodule by monochromatic imaging (40, 60, and 80 keV) was performed, and an in-house developed MATLAB-based texture analysis program was used to extract 41 textures. Iodine material decomposition and CT attenuation slopes were also measured. Histopathologic findings of ultrasound-guided biopsies over a follow-up period of at least one year were used as reference standards. Basic descriptive statistics and areas under receiver operating characteristic curves (AUCs) were evaluated. Results. The 34 nodules comprised 14 benign nodules and 20 malignant nodules. Iodine content and Hounsfield unit curve slopes did not differ significantly between benign and malignant thyroid nodules (P=0.480–0.670). However, significant differences in the texture features of monochromatic images were observed between benign and malignant nodules: histogram mean and median, co-occurrence matrix contrast, gray-level gradient matrix (GLGM) skewness, and mean gradients and variance of gradients for GLGM at 80 keV (P=0.014–0.044). The highest AUC was 0.77, for the histogram mean and median of images acquired at 80 keV. Conclusions. Texture features extracted from monochromatic images using DECT, specifically acquired at high keV, may be a promising diagnostic approach for thyroid nodules. A further large study for incidental thyroid nodules using DECT texture analysis is required to validate our results.
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spelling doaj-art-e66415fbc2af4a1aa08ee25456ac9c5e2025-08-20T02:21:04ZengWileyInternational Journal of Endocrinology1687-83371687-83452020-01-01202010.1155/2020/54846715484671Quantitative Assessment of Thyroid Nodules Using Dual-Energy Computed Tomography: Iodine Concentration Measurement and Multiparametric Texture Analysis for Differentiating between Malignant and Benign LesionsHayato Tomita0Hirofumi Kuno1Kotaro Sekiya2Katharina Otani3Osamu Sakai4Baojun Li5Takashi Hiyama6Keiichi Nomura7Hidefumi Mimura8Tatsushi Kobayashi9Department of Diagnostic Radiology, National Cancer Center Hospital East, Chiba 277-8577, JapanDepartment of Diagnostic Radiology, National Cancer Center Hospital East, Chiba 277-8577, JapanDepartment of Diagnostic Radiology, National Cancer Center Hospital East, Chiba 277-8577, JapanAT Innovation Department, Siemens Healthcare K. K., Tokyo 141-8644, JapanDepartment of Radiology, Boston Medical Center, Boston University School of Medicine, Boston 02118, USADepartment of Radiology, Boston Medical Center, Boston University School of Medicine, Boston 02118, USADepartment of Diagnostic Radiology, National Cancer Center Hospital East, Chiba 277-8577, JapanDepartment of Diagnostic Radiology, National Cancer Center Hospital East, Chiba 277-8577, JapanDepartment of Radiology, St. Marianna University School of Medicine, Kawasaki 216-8511, JapanDepartment of Diagnostic Radiology, National Cancer Center Hospital East, Chiba 277-8577, JapanBackground and Objectives. Thyroid nodules are increasingly being detected during cross-sectional imaging of the neck and chest. The purpose of this study is to investigate the efficacy of dual-energy computed tomography (DECT) using iodine concentration measurement and multiparametric texture analysis of monochromatic images for differentiating between benign and malignant thyroid nodules. Materials and Methods. This retrospective study included 34 consecutive patients who presented with thyroid nodules and underwent noncontrast DECT between 2015 and 2016. Manual segmentation of each thyroid nodule by monochromatic imaging (40, 60, and 80 keV) was performed, and an in-house developed MATLAB-based texture analysis program was used to extract 41 textures. Iodine material decomposition and CT attenuation slopes were also measured. Histopathologic findings of ultrasound-guided biopsies over a follow-up period of at least one year were used as reference standards. Basic descriptive statistics and areas under receiver operating characteristic curves (AUCs) were evaluated. Results. The 34 nodules comprised 14 benign nodules and 20 malignant nodules. Iodine content and Hounsfield unit curve slopes did not differ significantly between benign and malignant thyroid nodules (P=0.480–0.670). However, significant differences in the texture features of monochromatic images were observed between benign and malignant nodules: histogram mean and median, co-occurrence matrix contrast, gray-level gradient matrix (GLGM) skewness, and mean gradients and variance of gradients for GLGM at 80 keV (P=0.014–0.044). The highest AUC was 0.77, for the histogram mean and median of images acquired at 80 keV. Conclusions. Texture features extracted from monochromatic images using DECT, specifically acquired at high keV, may be a promising diagnostic approach for thyroid nodules. A further large study for incidental thyroid nodules using DECT texture analysis is required to validate our results.http://dx.doi.org/10.1155/2020/5484671
spellingShingle Hayato Tomita
Hirofumi Kuno
Kotaro Sekiya
Katharina Otani
Osamu Sakai
Baojun Li
Takashi Hiyama
Keiichi Nomura
Hidefumi Mimura
Tatsushi Kobayashi
Quantitative Assessment of Thyroid Nodules Using Dual-Energy Computed Tomography: Iodine Concentration Measurement and Multiparametric Texture Analysis for Differentiating between Malignant and Benign Lesions
International Journal of Endocrinology
title Quantitative Assessment of Thyroid Nodules Using Dual-Energy Computed Tomography: Iodine Concentration Measurement and Multiparametric Texture Analysis for Differentiating between Malignant and Benign Lesions
title_full Quantitative Assessment of Thyroid Nodules Using Dual-Energy Computed Tomography: Iodine Concentration Measurement and Multiparametric Texture Analysis for Differentiating between Malignant and Benign Lesions
title_fullStr Quantitative Assessment of Thyroid Nodules Using Dual-Energy Computed Tomography: Iodine Concentration Measurement and Multiparametric Texture Analysis for Differentiating between Malignant and Benign Lesions
title_full_unstemmed Quantitative Assessment of Thyroid Nodules Using Dual-Energy Computed Tomography: Iodine Concentration Measurement and Multiparametric Texture Analysis for Differentiating between Malignant and Benign Lesions
title_short Quantitative Assessment of Thyroid Nodules Using Dual-Energy Computed Tomography: Iodine Concentration Measurement and Multiparametric Texture Analysis for Differentiating between Malignant and Benign Lesions
title_sort quantitative assessment of thyroid nodules using dual energy computed tomography iodine concentration measurement and multiparametric texture analysis for differentiating between malignant and benign lesions
url http://dx.doi.org/10.1155/2020/5484671
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