使用双能计算机断层扫描对甲状腺结节进行定量评估：碘浓度测量和多参数纹理分析用于鉴别恶性和良性病变

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

作者信息

Tomita Hayato, Kuno Hirofumi, Sekiya Kotaro, Otani Katharina, Sakai Osamu, Li Baojun, Hiyama Takashi, Nomura Keiichi, Mimura Hidefumi, Kobayashi Tatsushi

机构信息

Department of Diagnostic Radiology, National Cancer Center Hospital East, Chiba 277-8577, Japan.

Department of Radiology, St. Marianna University School of Medicine, Kawasaki 216-8511, Japan.

出版信息

Int J Endocrinol. 2020 Mar 18;2020:5484671. doi: 10.1155/2020/5484671. eCollection 2020.

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 ( = 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 ( = 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.

结果

34个结节包括14个良性结节和20个恶性结节。良性和恶性甲状腺结节之间的碘含量和亨氏单位曲线斜率无显著差异（=0.480 - 0.670）。然而，在良性和恶性结节之间观察到单色图像纹理特征存在显著差异：直方图均值和中位数、共生矩阵对比度、灰度级梯度矩阵（GLGM）偏度以及80 keV时GLGM的平均梯度和梯度方差（=0.014 - 0.044）。80 keV采集图像的直方图均值和中位数的曲线下面积（AUC）最高，为0.77。