摘要: |
目的 探讨声触诊组织量化成像(virtual touch tissue imaging quantification,VTIQ)技术对颈部恶性淋巴瘤与反应性增生淋巴结的鉴别诊断价值。方法 回顾性分析45枚颈部恶性淋巴瘤淋巴结的常规超声及VTIQ图像资料,并选择48枚颈部反应性增生淋巴结做对照,描述两者二维超声图像特征及彩色多普勒淋巴门血管模式,并测量其VTIQ剪切波速度(shear wave velocity, SWV),以病理诊断为金标准,分析颈部恶性淋巴瘤与反应性增生淋巴结剪切波速度之间的差异,并绘制受试者操作特征(receiver operating characteristic curve,ROC)曲线,评价VTIQ鉴别颈部恶性淋巴瘤与反应性增生淋巴结的价值。结果 恶性淋巴瘤淋巴结SWV值为3.37±0.93m/s,反应性增生淋巴结SWV值为2.20±0.49m/s,二者比较差异有统计学意义(T=11.498,P值0.001)。构建SWV的ROC曲线后,其曲线下面积(area under the curve,AUC)为0.904, SWV值为2.54m/s时是鉴别颈部恶性淋巴瘤与反应性增生淋巴结的诊断最佳界点,诊断颈部恶性淋巴瘤与反应性增生淋巴结的准确性88.2%、灵敏性88.9%、特异性87.5%、阳性预测值87%、阴性预测值89.4%、优势比56。结论 VTIQ技术对鉴别颈部恶性淋巴瘤与反应性增生淋巴结有较好的应用价值。 |
关键词: 颈部淋巴结 声触诊组织量化成像技术 剪切波速度 超声检查 |
DOI: |
投稿时间:2016-04-25修订日期:2016-04-25 |
基金项目: |
|
Value of virtual touch tissue imaging quantification in differentiating cervical lymphomas and reactive hyperplasia lymph nodes |
xijiaying,jinxiucai |
(Department of Medical Ultrasound, The Changhai Hospital of Second Military Medical University) |
Abstract: |
Objective To evaluate virtual touch tissue imaging quantification(VTIQ)for differentiating lymphomas and reactive hyperplasia lymph node. Methods The sonograms of 45 lymphomas were reviewed and compared with 48 reactive hyperplasia lymph nodes underwent conventional ultrasound and VTIQ examinations. Shear wave velocities(SWVs)of lymphomas and reactive hyperplasia lymph nodes were measured. The receiver operating characteristic curve(ROC)was used to assess the value of VTIQ in differentiating lymphomas and reactive hyperplasia lymph nodes. Results SWV was 3.37±0.93m/s for lymphomas and 2.20±0.49m/s for nonspecific reactive lymph nodes(T=11.498,P值0.001). The SWVs between lymphomas and reactive hyperplasia lymph nodes were significantly different.(P=0.001).Comparison of the lymphomas and the lymphatic system diseases, The AUC was 0.904 and the SWV cut-off value was 2.54m/s,the accuracy was 88.2%,sensitivity was 88.9%, specificity was 87.5%,positive predictive value was 87%,negative predictive value was 89.4%,odds ratio was 56.Conclusion VTIQ is valuable in differentiating cervical lymphomas and reactive hyperplasia lymph node |
Key words: Cervical lymph nodes Virtual touch tissue imaging quantification Shear wave elastography Ultrasound |