戚敏,姜学忠,李嘉,王颖彦,沈会明,高亚琴,胡中倩.剪切波弹性成像联合CEUS校正乳腺影像报告和数据系统3~5类乳腺病变[J].中国医学影像技术,2018,34(10):1509~1513
剪切波弹性成像联合CEUS校正乳腺影像报告和数据系统3~5类乳腺病变
Combination of shear wave elastography and CEUS in correction of BI-RADS classification 3-5 grade breast lesions
投稿时间:2018-02-01  修订日期:2018-06-28
DOI:10.13929/j.1003-3289.201802006
中文关键词:  弹性成像技术  超声检查  造影剂  Logistic模型  乳腺影像报告和数据系统
英文关键词:Elasticity imaging techniques  Ultrasonography  Contrast media  Logistic models  Breast imaging reporting and data system
基金项目:江苏省卫生计生委课题(H201534)。
作者单位E-mail
戚敏 东南大学医学院, 江苏 南京 210009
东南大学附属中大医院超声科, 江苏 南京 210009 
 
姜学忠 江苏省老年医院超声科, 江苏 南京 210846  
李嘉 东南大学医学院, 江苏 南京 210009
东南大学附属中大医院超声科, 江苏 南京 210009 
lijia9128@163.com 
王颖彦 东南大学附属中大医院超声科, 江苏 南京 210009  
沈会明 东南大学附属中大医院超声科, 江苏 南京 210009  
高亚琴 东南大学附属中大医院超声科, 江苏 南京 210009  
胡中倩 东南大学附属中大医院超声科, 江苏 南京 210009  
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中文摘要:
      目的 探讨剪切波弹性成像(SWE)联合CEUS在校正乳腺影像报告和数据系统(BI-RADS)3~5类乳腺肿瘤中的应用价值。方法 收集50例乳腺病变患者(57个病灶),其中良性病灶28个,恶性29个。对所有病灶术前行常规超声、SWE和CEUS检查,以常规超声进行BI-RADS分类,并采用SWE、CEUS及SWE联合CEUS对BI-RADS分类进行校正。以病理结果为金标准,计算常规超声、SWE、CEUS及SWE联合CEUS诊断乳腺良恶性病灶的敏感度、特异度和诊断正确率。结果 SWE参数最大杨氏模量值(Emax)诊断乳腺良恶性病灶的临界值为87.2 kPa,CEUS的临界值为8.5分,SWE联合CEUS的多因素Logistic回归模型为Y(P)=-18.785+0.161X1+11.822X2,X1为Emax,X2为增强后病灶大小改变。SWE联合CEUS将11个病灶正确降为3级,4个病灶误诊;SWE联合CEUS诊断乳腺良恶性病灶的敏感度、特异度和诊断正确率分别为100%(29/29)、85.71%(24/28)和92.98%(53/57)。结论 SWE联合CEUS对BI-RADS 3~5类乳腺病灶具有良好的校正作用,可提高超声诊断正确率。
英文摘要:
      Objective To observe the value of shear wave elastography (SWE) combined with CEUS in the correction of breast imaging reporting and data system (BI-RADS) classification 3-5 grade breast lesions. Methods Totally 50 patients with 57 breast lesions were enrolled, including 28 benign lesions and 29 malignant ones. Conventional ultrasound, SWE and CEUS were performed preoperatively, and the BI-RADS grade was classified with conventional ultrasound, and was corrected with SWE, CEUS and the combination of these 2 methods. Taking pathologic results as golden standards, the sensitivity, specificity and diagnostic accuracy of conventional ultrasound, SWE, CEUS and combination of the latter two in diagnosis of benign and malignant breast lesions were calculated. Results The threshold of SWE parameter maximum Young's modulus value (Emax) was 87.2 kPa, of CEUS was 8.5 points, the multivariate Logistic regression model was Y(P)=-18.785+0.161X1+11.822X2, with Emax of X1 and the size of enhanced lesion of X2. Eleven lesions were downgraded with the regression model, and 4 lesions were misdiagnosed. The sensitivity, specificity and diagnostic accuracy were 100%(29/29), 85.71%(24/28) and 92.98%(53/57) in diagnosis of benign and malignant breast lesions. Conclusion Combination of SWE and CEUS has great value in the correction of BI-RADS classification 3-5 grade breast lesions and may improve the diagnostic accuracy.
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