摘要: |
目的:探讨超声弹性成像(UE) 联合超微血流成像(SMI)校正乳腺肿块BI-RADS分级的意义。方法:回顾性分析86个常规超声BI-RADS 3-5级的乳腺肿块,均已行UE及SMI检查,用UE联合SMI对乳腺肿块的BI-RADS分级进行校正。根据病理结果创建ROC曲线,通过比较校正前及校正后BI-RADS分级的灵敏性、特异性、准确性和曲线下面积(AUC)评估SMI联合UE对乳腺肿块的诊断效能。结果:以BI-RADS 4B级为诊断截点,UE联合SMI校正后的灵敏性、特异性和准确性分别为95.65%、90.00%、93.02%,均高于校正前(80.43%、67.50%、74.42%),差异具有统计学意义(P<0.05);ROC曲线下面积比较: UE联合SMI校正后的AUC(0.95)大于校正前(0.85)(Z=4.91, P<0.01)。结论:SMI联合UE可以显著提高乳腺肿块的诊断效能,应用价值较高。 |
关键词: 弹性成像 超微血流成像 BI-RADS分级 乳腺肿块 |
DOI: |
投稿时间:2020-01-04修订日期:2020-01-23 |
基金项目: |
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The significance of correcting BI-RADS grade by ultrasound elastography combined with super microvascular |
LI Tao,Luo chun-yue,Liu guan-cheng,He guang-min |
(Department of Ultrasonic Imaging,Affiliated Cancer Hospital & institute of Guangzhou Medical University) |
Abstract: |
Objective To explore the significance of correcting beast masses" BI-RADS classification by ultrasound elastography(UE) combined with super microvascular imaging(SMI). Methods Retrospecting the 86 BI-RADS 3-5 grade beast masses classified by conventional ultrasonography, all the lesions were examined with UE and SMI, and these beast masses" BI-RADS grades were corrected by UE combined with SMI. Receiver Operating Characteristic(ROC)curve was created according to the pathological result, the diagnostic effect of UE combined with SMI was evaluated by comparing the BI-RADS classification" sensitivity,specificity,accuracy and the area under curve(AUC) before and after the correction. Results BI-RADS 4B grade was stipulated as the diagnostic cut-off point,after being corrected by UE combined with SMI,the sensitivity,specificity and accuracy were 95.65%, 90.00%, and 93.02% respectively,all higher than those before the correction(80.43%、67.50%、74.42%), the differences have statistic significance(P<0.05);The comparison of areas under ROC curve: The AUC after the correction by UE combined with SMI (0.95)is larger than that before the correction (0.85)(Z=4.91, P<0.01).Conclusion The combination of UE and SMI can improve the diagnostic effection evidently,and has high application value. |
Key words: Elastography Super Microvascular Imaging Breast Imaging Reporting and Data System Grade Beast Mass |