摘要
目的:研究在甲状腺良恶性结节判断方式中超声联合超声造影的应用。方法:选择90例甲状腺结节患者,均实施病理诊断并将结果作为金标准,比较两种诊断方式下结节状态在良恶性方面的差异及组间诊出率差异。结果:金标准下共诊出55个良性结节与35个恶性结节,对照组诊出率为86.67%,观察组诊出率为88.89%;常规超声下恶性结节收缩期血流阻力指数显著高于对照组,最大血流速度无明显差别,结节状态比较下恶性发生率均高于良性;超声造影下恶性结节不均匀增强、早达峰占比显著高于良性,同步达峰、均匀增强显著低于良性。结论:超声与超声造影联合诊断在诊出率上将显著高于单一诊断方案,可通过结节形态、血流状况、动态图像数据早期判别甲状腺结节的良恶性质。
Objective:To study the application of ultrasound combined with contrast-enhanced ultrasound in the determination of benign and malignant thyroid nodules.Methods:Ninety patients with thyroid nodules were selected.All patients were diagnosed pathologically and the results were used as the gold standard.The nodule status between the two diagnostic methods was compared between benign and malignant,and the difference in the diagnosis rate between groups.Results:A total of 55 benign nodules and 35 malignant nodules were diagnosed under the gold standard.The detection rate in the control group was 86.67%,and the observation rate in the observation group was 88.89%.The blood flow resistance index of the malignant nodules during systole was significant under conventional ultrasound Compared with the control group,there was no significant difference in the maximum blood flow velocity.Compared with nodules,the incidence of malignancy was higher than that of benign.The unevenness of malignant nodules enhanced by contrast-enhanced ultrasound,and the proportion of early peaks was significantly higher than that of benign.Uniform enhancement is significantly lower than benign.Conclusion:The combined diagnosis rate of ultrasound and contrast-enhanced ultrasound will be significantly higher than that of a single diagnosis scheme.The benign and malignant nature of thyroid nodules can be identified early by the nodule morphology,blood flow status,and dynamic image data.
作者
王云慧
WANG Yun-hui(Department of Special Clinics,Heping Branch,Northern Hospital General Hospital,Liaoning Shenyang 110003)
出处
《中国医疗器械信息》
2020年第7期56-56,65,共2页
China Medical Device Information
关键词
甲状腺结节
超声造影
诊出率
thyroid nodule
contrast-enhanced ultrasound
diagnosis rate