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超声助力式弹性成像联合声触诊组织成像量化技术对BI-RADS 4类乳腺肿块的诊断价值 被引量:8

Diagnostic value of BI-RADS 4 class breast lumps by ultrasound elastography combined with acoustic touch quantitative tissue imaging technology
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摘要 目的探讨超声助力式弹性成像联合声触诊组织成像量化(VTQ)技术对BI-RADS 4类乳腺肿块的诊断价值。方法选取经病理确诊且经二维超声诊断为BI-RADS 4类的乳腺肿块患者95例(共97个肿块),均行助力式弹性成像和VTQ检查,以病理结果为金标准,绘制二维超声、助力式弹性成像联合VTQ检查诊断乳腺肿块的ROC曲线,比较其诊断效能;比较助力式弹性成像联合VTQ技术与二维超声对乳腺肿块BI-RADS分类的差异。结果二维超声对乳腺肿块的诊断敏感性、特异性、准确率、阳性预测值、阴性预测值及曲线下面积分别为87.80%、53.57%、41.38%、58.06%、85.71%及0.703,助力式弹性成像联合VTQ技术调整BI-RADS分类后的诊断敏感性、特异性、准确率、阳性预测值、阴性预测值及曲线下面积分别为95.12%、83.93%、79.05%、81.25%、95.92%及0.895,差异均有统计学意义(均P<0.05)。结论超声助力式弹性成像联合VTQ技术可提高对BI-RADS 4类乳腺肿块的诊断价值。 Objective To explore the value of ultrasound elastography combined with acoustic touch tissue imaging quantification(VTQ)in diagnosis of BI-RADS 4 class of breast lumps.Methods Ninety-five patients with breast lumps(a total of 97 lesions) were confirmed by pathological diagnosis of 2 D ultrasound as BI-RADS 4 class were selected.Then they were examined by elastography and VTQ,pathological results used as the golden standard,the ROC curve of 2 D ultrasound and elastography combined with VTQ were plotted,and the diagnostic efficiency was evaluated,the difference of diagnosis of BI-RADS of breast lumps by 2 D ultrasound and elastography combined with VTQ were compared.Results The diagnostic sensitivity,specificity,accuracy,positive predictive value,negative predictive value and AUC of 2 D ultrasound were 87.80%,53.57%,41.38%,58.06%,85.71% and 0.703,respectively.While the diagnostic sensitivity,specificity,accuracy,positive predictive value,negative predictive value and AUC by elastography combined with VTQ adjusted BI-RADS classification were 95.12%,83.93%,79.05%,81.25%,95.92% and 0.895,respectively.The differences between two methods were statisticlly significant(all P0.05).Conclusion Ultrasound elastography combined with VTQ could improve the diagnostic value of BI-RADS 4 class breast lumps.
出处 《临床超声医学杂志》 2018年第2期90-93,共4页 Journal of Clinical Ultrasound in Medicine
基金 新疆维吾尔自治区自然科学基金项目(2017D01C157)
关键词 超声检查 弹性成像 声触诊组织成像量化 乳腺肿瘤 BI-RADS分类 Ultrasonography Elastography Virtual touch tissue quantification Breast tumor BI-RADS classification
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