Abstract
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.
Highlights
Background and Objectives. yroid nodules are increasingly being detected during cross-sectional imaging of the neck and chest. e 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
Texture features extracted from monochromatic images using DECT, acquired at high keV, may be a promising diagnostic approach for thyroid nodules
DECT material decomposition and CT attenuation slopes did not show significant differences. ese results suggest that this approach to texture analysis using extracted monochromatic images may be a valuable imaging tool for diagnosing thyroid tumors using noncontrast CT
Summary
Background andObjectives. yroid nodules are increasingly being detected during cross-sectional imaging of the neck and chest. e 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. E 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. Significant differences in the texture features of monochromatic images were observed between benign and malignant nodules: histogram mean and median, cooccurrence 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).
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