摘要
目的:探讨美国放射学会(ACR)甲状腺TI-RADS风险分层与多模态超声对甲状腺病变的诊断价值。方法:对61例病人进行超微血管(SMI)及剪切波弹性成像扫查(SWE)。最终根据手术获取的病理报告将结节分成良性和恶性组,比较TI-RADS风险分层及定量评分,并对2组的SMI血流分类和SWE弹性参数进行检测并分析。结果:2组TI-RADS均分为2~5类,危险分级差异有统计学意义(P<0.01);恶性组量化评分高于良性组(P<0.01)。2组SMI血流分级、SWE弹性参数比较差异均有统计学意义(P<0.01)。联合诊断恶性结节的敏感性、特异性均强于单独诊断。结论:ACR TI-RADS风险分层、SMI和SWE单独诊断甲状腺病变均有价值,联合诊断的效能显著提高。
Objective:To analyze diagnostic value of American College of radiology thyroid imaging reporting and data system(ACR TI-RADS)risk grading combined with multimodal ultrasonography in benign and malignant thyroid lesions.Methods:Sixty-one patients were detected using superb microvascular imaging(SMI)and shear wave elastography(SWE),and divided into benign group and malignant group according to the pathological results.The ACR TI-RADS risk grading and quantitative scoring in two groups were implemented,and the SMI blood flow grading and SWE elastic parameters in two groups were detected and analyzed.Results:The ACR TI-RADS risk grading in two groups were divided into 2-5 classes,and the difference of risk grading was statistically significant(P<0.01).The quantitative scores in malignant group were higher than those in benign group(P<0.01).The differences of the SMI blood flow grading and SWE elastic parameters between two groups were statistically significant(P<0.01).The sensitivity and specificity of combined diagnosis of malignant nodules were better than that of single diagnosis.Conclusions:The risk stratification of ACR TI-RADS,SMI and SWE are all valuable in the diagnosis of thyroid lesions alone,and the efficacy of combined diagnosis can be significantly improved.
作者
隋洋
孙医学
李阳
王兵
SUI Yang;SUN Yi-xue;LI Yang;WANG Bing(Department of Ultrasound Medicine,The First Affiliated Hospital of Bengbu Medical College,Bengbu Anhui 233004,China)
出处
《蚌埠医学院学报》
CAS
2021年第8期1099-1102,共4页
Journal of Bengbu Medical College
基金
安徽省蚌埠市科技创新指导类项目(20200342)
蚌埠医学院自然科学基金重点项目(2020byzd167)。
关键词
甲状腺肿瘤
ACR
TI-RADS危险分级
超微血管成像
剪切波
thyroid neoplasms
American College of radiology thyroid imaging reporting and data system risk grading
superb microvascular imaging
shear wave