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99例甲状腺癌颈部淋巴结转移患者超声特点及关系分析

张伊 李彦娟 王艳超 杨艳丽 冯京华

肿瘤药学2018,Vol.8Issue(1):73-76,88,5.
肿瘤药学2018,Vol.8Issue(1):73-76,88,5.DOI:10.3969/j.issn.2095-1264.2018.01.17

99例甲状腺癌颈部淋巴结转移患者超声特点及关系分析

Ultrasound Features of 99 Cases of Thyroid Cancer Patients with Cases Cervical Lymph Node Metastasis

张伊 1李彦娟 1王艳超 1杨艳丽 1冯京华1

作者信息

  • 1. 首都医科大学石景山教学医院/北京市石景山医院 超声科,北京,100043
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摘要

Abstract

Objective To investigate the ultrasound features of cervical lymph node metastasis of papillary thyroid carcinoma (PTC) and their relationship with lymph node metastasis. Methods The ultrasonic diagnosis and pathological data of 99 patients with PTC confirmed by clinical pathology were analyzed retrospectively. Among them, 32 patients with lymph node metastasis were divided into the lymph node metastasis group, and 67 cases without lymph node metastasis were divided into the non- lymph node metastasis group. The accuracy, sen-sitivity and specificity of ultrasound in the diagnosis of PTC with lymph node metastasis were analyzed, and the relationships between age, gender, ultrasound features, and PTC with lymph node metastasis were analyzed by univariate and multivariate analysis. Results With the results of clinical pathological examination as the golden standard, the accuracy, sensitivity and specificity of ultrasound diagnosis of PTC with lymph node metastasis were 88.89%, 81.25% and 92.54%, respectively. The probabilities of age <50 years old, micro-calcification, aspect ratio ≥1, capsule invasion area, and grade 2~3 blood supply of patients in the lymph node metastasis were higher than those in the non-lymph node metastasis group (P<0.05). Conclusion Ultrasound features such as enlargement of the tumor nodules, microcalcification, large invasion area of the membrane and grade 2 ~ 3 blood supply are closely related to PTC with lymph node metastasis.

关键词

甲状腺乳头癌/颈部淋巴结转移/超声/Logistic模型

Key words

Thyroid papillary carcinoma/Cervical lymph node metastasis/Ultrasound/Logistic model

分类

医药卫生

引用本文复制引用

张伊,李彦娟,王艳超,杨艳丽,冯京华..99例甲状腺癌颈部淋巴结转移患者超声特点及关系分析[J].肿瘤药学,2018,8(1):73-76,88,5.

肿瘤药学

OACSTPCD

2095-1264

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