Value of elastography parameters in diagnosis of breast lesions

SU Tong; DENG Jing; GONG Haiyan; WANG Hui; LI Cuiying

doi:10.19732/j.cnki.2096-6210.2019.02.005

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Value of elastography parameters in diagnosis of breast lesions

更新时间：2025-12-15

- Value of elastography parameters in diagnosis of breast lesions
- Vol. 28, Issue 2, Pages: 90-95(2019)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.19732/j.cnki.2096-6210.2019.02.005
  CLC：
- Published Online：24 May 2019，
  
  Published：24 May 2019
- 稿件说明：
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苏彤,邓晶,龚海燕,等. 弹性成像参数对乳腺肿块的诊断价值[J]. 肿瘤影像学, 2019, 28(2): 90-95 https://doi.

org/10.19732/j.cnki.2096-6210.2019.02.005
苏彤,邓晶,龚海燕,等. 弹性成像参数对乳腺肿块的诊断价值[J]. 肿瘤影像学, 2019, 28(2): 90-95 https://doi. DOI： 10.19732/j.cnki.2096-6210.2019.02.005.

org/10.19732/j.cnki.2096-6210.2019.02.005 DOI：

摘要

目的：

探讨不同弹性参数在不同切面诊断乳腺肿块的价值。

方法：

对236例乳腺肿块行超声检查，测量横切面及纵切面的应变弹性成像（elasticity imaging，EI）的应变率比值、面积比、长度比，以及剪切波速度（shear wave velocity，SWV）的最大值、最小值及平均值。采用受试者工作特征（receiver operating characteristic，ROC）曲线的曲线下面积（area under curve，AUC）比较各参数对乳腺肿块的的诊断效能。

结果：

SWV最大值、平均值、最小值，以及面积比、长度比和应变率比值在横切面的AUC分别为0.882、0.871、0.833、0.744、0.722和0.623；在纵切面的AUC分别为0.866、0.863、0.786、0.774、0.719和0.593；在联合切面的AUC分别为0.884、0.875、0.823、0.776、0.735和0.620。两切面之间仅SWV最小值的AUC差异有统计学意义（

=0.031），其余参数差异无统计学意义（

＞0.05）。SWV最大值和平均值的AUC显著高于EI的应变率比值、面积比及长度比（

＜0.05）。多因素分析显示，SWV最大值联合面积比的AUC为0.901，灵敏度和特异度分别为86.60%、79.86%。

结论：

SWV最大值和平均值诊断乳腺肿块良恶性的效能更好，SWV联合EI可提高诊断效能。

Abstract

Objective:

To evaluate the value of elastography parameters in the diagnosis of breast lesions in different planes.

Methods:

A total of 236 breast lesions were examined by elastography

and the quantitative parameters on transverse and longitudinal planes were calculated

including strain ratio

area ratio and distance ratio of elasticity imaging (EI)

and maximal

mean and minimal shear wav

e velocities (SWVs). The areas under curve (AUC) of receiver operating characteristic (ROC) curve were used to compare the diagnostic efficiency of above parameters.

Results:

In transverse plane

AUCs of maximal SWV

mean SWV

minimal SWV

area ratio

distance ratio and strain ratio were 0.882

0.871

0.833

0.744

0.722 and 0.623

respectively. AUCs of those in longitudinal planes were 0.866

0.863

0.786

0.774

0.719 and 0.593

respectively. AUCs in combined planes were 0.884

0.875

0.823

0.776

0.735 and 0.620

respectively. There was significant difference in AUC of minimal SWV between the two planes (

=0.031)

but AUCs of other parameters were not significantly different (

＞0.05). The AUCs of maximal SWV and mean SWV were higher than those of area ratio

distance ratio and strain ratio (

＜0.05). Multivariate analysis showed that maximal SWV combined with area ratio had a higher AUC value of 0.901

with a sensitivity of 86.60% and a specificity of 79.86%.

Conclusion:

The maximal SWV and mean SWV show better diagnostic performance

and SWV combined with EI can improve the diagnostic efficiency.

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