首页> 中文期刊>中国医学影像技术 >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

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

     

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.BIRADS 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 (x2 =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.%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(x2=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.

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