| 摘要: |
| 目的 探讨声触诊组织量化成像（virtual touch tissue imaging quantification，VTIQ）技术测量剪切波速度以及速度比值对乳腺良恶性结节鉴别的诊断价值。
方法 回顾性分析经手术后病理证实的46例患者46个乳腺实性病灶的VTIQ图像资料。测量良恶性病灶、周围乳腺腺体组织在VTIQ上的剪切波速度（Shear wave velocity,SWV），计算良恶性病灶SWV平均值以及良恶性病灶与周围乳腺腺体组织SWV平均值比值，绘制受试者操作特性（receiver operating characteristic curve，ROC）曲线，并进行曲线下面积比较，分析评估VTIQ技术对乳腺良恶性结节鉴别的诊断价值。
结果 46个乳腺病灶中，恶性病灶18个，良性病灶28个。良恶性病灶的SWV值有统计学意义（p＜0.05）。良恶性病灶与周围乳腺腺体组织SWV值比值有统计学意义（p＜0.05）。良恶性病灶SWV值ROC曲线：AUC为0.875，截断值为4.52，准确性84.80%，敏感性88.89%，特异性82.14%。良恶性病灶与周围乳腺腺体组织SWV值比值ROC曲线：AUC为0.902，截断值为1.25，准确性84.80%，敏感性94.44%，特异性78.57%。两组数据ROC曲线下面积比较无统计学意义(P>0.05)。
结论 VTIQ技术对乳腺良恶性结节鉴别有一定诊断价值，无论是剪切波速度还是速度比值均可对临床诊断提供帮助。 |
| 关键词: 超声检查 乳腺结节 声触诊组织量化成像 剪切波弹性成像 |
| DOI： |
| 投稿时间：2019-12-08修订日期：2019-12-31 |
| 基金项目: |
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| Value of virtual touch tissue imaging quantification in differentiating benign and malignant breast nodules |
| zhaoyingyan,xijiaying,jinxiucai |
| () |
| Abstract: |
| Objective To evaluate virtual touch tissue imaging quantification(VTIQ) for differentiating benign and malignant breast nodules．
Methods patients with pathologically proven malignant(18) and benign(28) breast nodules underwent VTIQ examinations．Shear wave velocities（SWVs） of benign and malignant nodules and surrounding tissues were measured．The receiver operating characteristic curve（ROC）was analyzed to assess the value of VTIQ in differentiating benign and malignant nodules．
Results The SWVs between benign nodules and malignant nodules were significantly different（p＜0.05）. The mean ratio of SWV were also significantly different（p＜0.05）. Comparison of benign and malignant nodules, The AUC was 0.875 and the SWV cut-off value was 4.52m/s,the accuracy was 84.80%,sensitivity was 88.89% ,specificity was 82.14%,respectively. Comparison of the mean ratio, The AUC was 0.902 and the SWV cut-off value was 1.25,the accuracy was 84.80%,sensitivity was 94.44% ,specificity was 78.57%, respectively. respectively．There was no statistical difference between the two methods in terms of AUC (P>0.05).
Conclusion VTIQ is valuable in differentiating benign from malignant breast nodules. It can provide reference for clinical diagnosis. |
| Key words: Ultrasonography Breast nodules virtual touch tissue imaging quantification Shear wave elastography |
