甲状腺癌超声特征与颈部淋巴结转移的相关性

doi:10.7517/issn.1674-0475.191213

摘要/Abstract

摘要： 本文对甲状腺癌（TC）超声特征与颈部淋巴结转移（CLNM）的相关性进行了探讨。选取TC患者110例，根据术后病理检查结果，将患者分为转移组（59例）和非转移组（51例）。两组术前均完成二维超声及彩色多普勒超声检查。用Pearson相关分析和Logistic回归分析计算超声特征与TC患者CLNM的相关性。结果显示，转移组结节直径≥1.5 cm、纵横比≥1、回声不均匀、有微钙化、内部血供丰富、距被膜距离d=0的例数均多于非转移组（P<0.05）。Pearson分析显示，CLNM与结节直径、纵横比、回声质地、微钙化、内部血供丰富呈明显正相关性（P<0.05）。Logistic分析显示，结节直径≥1.5 cm、纵横比≥1、回声不均匀、有微钙化、内部血供丰富、距被膜距离d=0是CLNM的独立危险因素（P<0.05）。

关键词: 甲状腺癌, 颈部淋巴结转移, 超声特征, 相关性

Abstract: This article discusses the correlation between ultrasound features and cervical lymph node metastasis (CLNM) of thyroid cancer (TC). 110 patients with TC were enrolled. According to pathological results, they were divided into metastasis group (59 cases) and non-metastasis group (51 cases). Both groups were completed the two-dimensional ultrasound and color Doppler ultrasound examination before the operation. Pearson correlation coefficient and Logistic analysis were used to get the correlation between ultrasound features and CLNM of TC. The results show that, the cases in metastasis group with ultrasound features as nodule diameter ≥ 1.5 cm, aspect ratio ≥ 1, inhomogeneous echo, microcalcification, abundant internal blood supply and the distance from capsule (d)=0 were more than those in the non-metastasis group (P<0.05). Pearson analysis showed a significant positive correlation between CLNM and nodule diameter, aspect ratio, echo, microcalcification and abundant internal blood supply (P<0.05). Logistic analysis showed these ultrasound features such as nodule diameter ≥ 1.5 cm, aspect ratio ≥ 1, inhomogeneous echo, microcalcification, abundant internal blood supply and distance from capsule (d)=0 were independent risk factors of CLNM (P<0.05).

Key words: thyroid cancer, cervical lymph node metastasis, ultrasound features, correlation

刘颂玉, 吴芳芳, 徐闪闪. 甲状腺癌超声特征与颈部淋巴结转移的相关性[J]. 影像科学与光化学, 2020, 38(4): 647-651.

LIU Songyu, WU Fangfang, XU Shanshan. The Correlation Between Ultrasound Features and Cervical Lymph Node Metastasis of Thyroid Cancer[J]. Imaging Science and Photochemistry, 2020, 38(4): 647-651.

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