弹性定量参数法对甲状腺良恶性结节诊断的应用  被引量:3

The Value of Quantitative Assessment in Benign and Malignant Thyroid Nodules

在线阅读下载全文

作  者:谢蠡[1] 郑敏[1] 常叶[1] 郝彩芳[1] 王玲[1] 

机构地区:[1]哈尔滨医科大学附属第一医院超声科,黑龙江哈尔滨150001

出  处:《现代生物医学进展》2013年第16期3105-3107,3068,共4页Progress in Modern Biomedicine

摘  要:目的:探讨弹性成像评分法及弹性应变率比值法在甲状腺结节良恶性诊断中最佳诊断界点。方法:对78例共122个甲状腺结节术前行弹性成像检查并获得应变率比值(SR),根据病理结果分为良性组90个结节和恶性组32个结节。结果:(1)弹性成像评分法:78例122个结节术前超声弹性评分为1-3分有90个结节,与病理诊断符合74个结节弹性评分为4分和5分有32个结节,与病理诊断符合24个结节,对应的诊断敏感度为75%,特异度为82%,准确率为80%;(2)弹性应变率比值:良性组结节90个,SR平均值为2.34+1.02;恶性组结节32个,SR平均值为4.15+1.09;(3)通过ROC曲线确定SR最佳诊断点为3.30,对应的应变率比值法诊断敏感度为81%,特异度为90%,准确率为87%,ROC曲线下面积(AUC)为0.831。结论:弹性应变率比值法可用于甲状腺结节良恶性的判断,为甲状腺弹性成像检查提供了一项新的诊断指标。Objective: To evaluate elasticity score and the critical point of strain ratio by ultrasonograms in differential diagnosis of thyroid nodules.Methods: Elasticity imaging was used to examine 78 cases of patient with 122 thyroid nodules.The elasticity scores and strain ratio were retrospectively reviewed and compared with pathology.According to the pathological findings are divided into benign and malignant groups.Results:(1)An elasticity score of 1-3was observed in 90 of 122 nodules,while a score of 4 and 5 in the rest of 32 nodules,which displayed a sensitivity of 75%,a specificity of 82% and a accuracy of 80%;(2) strain ratio: Of the 122 lesions,90 were benign and 32were malignant.The average of strain ratio of benignnodules was 2.34+1.02,while that of malignancy was 4.15+1.09;(3) According to the ROC curve,the critical point was 3.30,which displayed a sensitivity of 81%,a specificity of 90% and a accuracy of 87%.The area under the receiver operating characteristic curve was 0.831.Conclusion: The strain ratio and elasticity score in elasticity images is helpful in the differential diagnosis of thyroid lesions.

关 键 词:甲状腺结节 弹性成像 弹性应变率(strain ratio SR) 

分 类 号:R681[医药卫生—骨科学] R445.1[医药卫生—外科学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象