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

<div>A 62-year-old man with a thyroid papillary carcinoma. On an axial image at 80 keV, a true positive was confirmed using texture features as follows: gray-level co-occurrence matrix (GLCM) mean at 80 keV (1071.9; cut-off value &lt; 1080.9), GLCM median at 80 keV (1071.9; cut-off value &lt; 1080.9) (a). Based on iodine concentration value (0.63 mg/ml) alone, a false negative was determined (b).</div>

International Journal of Endocrinology

fig3

Figure 3

Figure 3: Quantitative Assessment of Thyroid Nodules Using Dual-Energy Computed Tomography: Iodine Concentration Measurement and Multiparametric Texture Analysis for Differentiating between Malignant and Benign Lesions 

Figure 3 | Quantitative Assessment of Thyroid Nodules Using Dual-Energy Computed Tomography: Iodine Concentration Measurement and Multiparametric Texture Analysis for Differentiating between Malignant and Benign Lesions 