胡瀚中,张松松,曹永政.弹性指数差在鉴别乳腺影像报告数据系统3~5类乳腺肿块良恶性中的应用[J].中国医学影像技术,2017,33(5):662~665
弹性指数差在鉴别乳腺影像报告数据系统3~5类乳腺肿块良恶性中的应用
Application of elastic index difference in identification of benign and malignant masses of breast imaging reporting and data system 3-5
投稿时间:2016-09-23  修订日期:2017-04-01
DOI:10.13929/j.1003-3289.201609103
中文关键词:  乳腺肿瘤  超声检查  弹性成像技术  弹性指数差
英文关键词:Breast neoplasms  Ultrasonography  Elasticity imaging techniques  Elastic index difference
基金项目:
作者单位E-mail
胡瀚中 遵义医学院附属医院超声科, 贵州 遵义 563003  
张松松 遵义医学院附属医院超声科, 贵州 遵义 563003  
曹永政 遵义医学院附属医院超声科, 贵州 遵义 563003 tanmeikaixin@163.com 
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中文摘要:
      目的 探讨弹性指数差(EID)鉴别乳腺影像报告数据系统(BI-RADS)3~5类肿块良恶性的应用价值。方法 回顾分析164例经病理证实的BI-RADS 3~5类乳腺肿块患者(193个病灶)的超声检查资料。通过弹性成像定量分析软件测定肿块与正常腺体间的EID。以EID≥2.5判断为恶性,重新调整BI-RADS分类。绘制ROC曲线并计算曲线下面积(AUC)。比较BI-RADS联合EID与单独采用BI-RADS分类诊断乳腺恶性肿块的AUC及诊断准确率。结果 以病理结果为金标准,单独采用BI-RADS诊断乳腺恶性肿块的敏感度、特异度、准确率分别为96.00%(72/75)、67.80%(80/118)、78.76%(152/193);BI-RADS联合EID诊断乳腺恶性肿块的敏感度、特异度、准确率分别为97.33%(73/75)、83.05%(98/118)、88.60%(171/193)。BI-RADS联合EID的AUC(0.931)高于单独应用BI-RADS的AUC(0.875),差异有统计学意义(Z=2.06,P<0.05);且2种方法的诊断准确率差异亦有统计学意义(χ2=15.21,P<0.05)。结论 BI-RADS联合EID对鉴别乳腺肿块良恶性较单纯采用BI-RADS更具优势。
英文摘要:
      Objective To evaluate the application value of elastic index difference (EID) in identifying benign or malignancy masses of breast imaging reporting and data system (BI-RADS) 3-5. Methods Data of 193 lesions in 164 patients with ultrasonic diagnosed as BI-RADS 3-5 breast masses were retrospectively analyzed. All the cases were confirmed pathologically. The EID of masses and normal glands were measured with elastography quantitative analysis software. BI-RADS 3-5 breast masses were diagnosed as malignant when EID≥2.5, which was the criteria for BI-RADS reclassification. ROC curve was drawn, and the area under the curve (AUC) was calculated. The diagnostic accuracy and AUC of malignant breast tumors with the methods of BI-RADS and BI-RADS combined with EID were compared. Results Taking pathological results as gold standard, the sensitivity, specificity, accuracy of BI-RADS in detecting malignant tumors were 96.00% (72/75), 67.80% (80/118), 78.76% (152/193), and those of BI-RADS combined with EID were 97.33% (73/75), 83.05% (98/118), 88.60% (171/193), respectively. The AUC of BI-RADS combined with EID (0.931) was higher than that of BI-RADS (0.875; Z=2.06, P<0.05). The statistical difference of accuracy was found between BI-RADS and BI-RADS combined with EID methods (χ2=15.21, P<0.05). Conclusion The combination of BI-RADS and EID is better than simple using BI-RADS in identifying benign or malignancy of breast tumors.
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