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 59-year-old female with a benign thyroid tumor (follicular adenoma). On an axial image at 80 keV, a true negative was confirmed using texture features as follows: gray-level co-occurrence matrix (GLCM) mean at 80 keV (1082.2; cut-off value &gt; 1080.9), GLCM median at 80 keV (1094.2; cut-off value &gt; 1080.9) (a). Based on iodine concentration value (0.3 mg/ml) alone, a false negative was determined (b).</div>

International Journal of Endocrinology

fig4

Figure 4

Figure 4: 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 4 | Quantitative Assessment of Thyroid Nodules Using Dual-Energy Computed Tomography: Iodine Concentration Measurement and Multiparametric Texture Analysis for Differentiating between Malignant and Benign Lesions 