摘要
目的探讨二维灰阶超声联合超声造影对美国放射学会(American College of Radiology,ACR)甲状腺影像与报告系统(Thyroid Imaging Reporting and Data System,TI-RADS) 3-5类结节良恶性的鉴别诊断价值。方法回顾分析2014年4月至2016年12月行甲状腺超声造影检查的患者208例(216个结节),对其进行ACR TI-RADS分类及超声造影增强模式评估,通过对既往文献关于甲状腺良恶性病灶超声造影模式的分析及本课题组的前期研究,构建甲状腺良恶性病灶二维灰阶超声联合超声造影预测模型。以细针穿刺活检或手术病理结果作为金标准,评价二维灰阶超声联合超声造影预测模型鉴别诊断甲状腺良恶性病灶的敏感性、特异性、准确性。结果与病理结果比较,二维灰阶超声联合超声造影评估甲状腺结节的阳性预测值为90.8%,阴性预测值为93.3%,准确性为91.2%,敏感性为98.8%,特异性为62.2%。结论二维灰阶超声联合超声造影对鉴别诊断甲状腺TI-RADS 3-5类结节良恶性有一定的临床价值。
Objective To evaluate the diagnostic value of gray-scale ultrasound combined with contrast-enhanced ultrasound (CEUS) in thyroid imaging and reporting system (TI-RADS) 3-5 nodules of American College of Radiology (ACR). Methods The 208 patients(216 nodules) who underwent thyroid contrast-enhanced ultrasound examination from April 2014 to December 2016 were retrospectively analyzed. The ACR TI-RADS classification and contrast-enhanced mode of thyroid ultrasound were evaluated. The benign and malignant thyroid lesions were constructed through the analysis of contrast-enhanced mode of thyroid benign and malignant lesions in the past literature and the preliminary study of our group. Prediction model of gray scale combined with contrast-enhanced ultrasound for lesions were established. Besides, the sensitivity, specificity and accuracy of gray scale ultrasound combined with contrast-enhanced ultrasound prediction model for differential diagnosis of benign and malignant thyroid lesions were calculated based on the results of puncture biopsy or surgical pathology as the gold standard. Results Compared with pathological results, the positive predictive value, negative predictive value, accuracy, sensitivity and specificity of gray scale combined with contrast-enhanced ultrasound in evaluating thyroid nodules were 90.8%, 93.3%, 91.2%, 98.8% and 62.2%, respectively. Conclusions Gray-scale ultrasound combined with contrast-enhanced ultrasound can provide clinical value in differential diagnosis of benign and malignant TI-RADS 3-5 thyroid nodules.
作者
庞丽娜
秦伟栋
韩景锐
杨晓
谷芬
刘海静
周晓东
陈定章
罗文
Pang Lina;Qin Weidong;Han J ingrui;Yang Xiao;Gu Fen;Liu Haijing;Zhou Xiaodong;Chen Dingzhang;Luo Wen(Department of Ultrasound,the First Affiliated Hospital of Air Force Medical University,Xi'an 710032,China;School of Basic Medical Sciences,Air Force Medical University,Xi'an 710032, China;18th Retirement Center for Outpatient Department of Shaanxi Military District,Xi'an 710061, China)
出处
《中华超声影像学杂志》
CSCD
北大核心
2019年第2期123-126,共4页
Chinese Journal of Ultrasonography
基金
国家自然科学基金面上项目(81671691).
关键词
超声造影
甲状腺结节
甲状腺影像与报告系统
Contrast-enhanced ultrasound
Thyroid nodule
Thyroid imaging reporting and data system
