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Combined use of the automated breast volume scanner and the US elastography for the differentiation of benign from malignant lesions of the breast

机译:结合使用自动乳房体积扫描仪和US弹性成像技术来区分乳腺良恶性病变

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Background Automated breast volume scanner (ABVS) and US elastography (UE) have been useful for the differentiation of benign and malignant lesions. However, combining these two methods applied in diagnosis of breast lesions has not yet been reported. The aim of this study is to analyze the inter-examiner reliability of ABVS and UE, and compare diagnostic performance among ABVS, UE, and the combination of these two methods. Methods Forty-one patients (forty-six lesions) underwent both ABVS and UE examinations. ABVS images were acquired by medial and lateral scans for each breast and classified a BI-RADS category based on the distribution, size, shape, echogenicity and microcalcification of the lesions. UE images were assigned an elasticity score according to the distribution of strain induced by light compression. Kappa statistics was used to examine the reproducibility between examiners with ABVS and UE, and the concordance between pathology and ABVS, UE, and the combination of these two methods. χ 2 test was used to compare diagnostic performance among these three methods. Two examiners blinded to the patients’ history evaluated the results of breast imaging independently. Results Inter-examiner reliability with ABVS ( κ =?0.62, 95% confidence interval (CI): 0.44-0.80) and UE ( κ =?0.65, 95% CI: 0.48-0.82) was substantial. With respect to the pathology results, the inter-rater coefficient of concordance was κ =?0.81 (95% CI: 0.64-0.98) for ABVS, κ =?0.77 (95% CI: 0.58-0.96) for UE, and κ =?0.90 (95% CI: 0.77-1.00) for combination of ABVS and UE. Examiner variability was reduced from UE to ABVS, and to the combination of ABVS with UE. The diagnostic accuracy, sensitivity, and specificity for the combination of ABVS and UE were 95.7% (95%CI: 84.0-99.2), 100% (95% CI: 85.9-100), and 87.5% (95% CI: 60.4-97.8), respectively. When comparing, the diagnostic performance of ABVS combined with UE was better than, or at least equal to, that of ABVS (accuracy 91.3% (95% CI: 78.3-97.2), sensitivity 100% (95% CI: 85.0-1.00), specificity 77.8% (95% CI: 51.9-92.6)) or UE (accuracy 89.1% (95% CI: 75.6-95.9), sensitivity 96.4% (95% CI: 79.8-99.8), specificity 77.8% (95% CI: 51.9-92.6)) alone, though the improvement was no statistically significance. Conclusions Both ABVS and UE demonstrated substantial inter-examiner reliability. With high diagnostic performance for differentiation of benign and malignant lesions in the breast, the combination of ABVS and UE are useful to improve the diagnostic accuracy and specificity.
机译:背景自动乳房体积扫描仪(ABVS)和US弹性成像(UE)已用于区分良性和恶性病变。但是,尚未结合将这两种方法用于乳腺病变的诊断。这项研究的目的是分析ABVS和UE的检查者间可靠性,并比较ABVS,UE和这两种方法的组合之间的诊断性能。方法对41例患者(46个病灶)进行了ABVS和UE检查。通过内侧和外侧扫描获取每个乳房的ABVS图像,并根据病变的分布,大小,形状,回声和微钙化对BI-RADS类别进行分类。根据光压缩引起的应变分布,为UE图像分配弹性评分。使用Kappa统计数据来检查ABVS和UE之间的检查者之间的可重复性,以及病理与ABVS,UE之间的一致性,以及这两种方法的组合。 χ 2 检验用于比较这三种方法的诊断性能。两名不了解患者病史的检查员独立评估了乳房成像的结果。结果:ABVS(κ=?0.62,95%置信区间(CI):0.44-0.80)和UE(κ=?0.65,95%CI:0.48-0.82)的考官间可靠性很高。关于病理结果,ABVS的评分者间一致性系数为κ=?0.81(95%CI:0.64-0.98),UE的κ=?0.77(95%CI:0.58-0.96),κ=对于ABVS和UE的组合,≤0.90(95%CI:0.77-1.00)。从UE到ABVS,以及从ABVS与UE的组合,检查员的变异性都降低了。 ABVS和UE联合使用的诊断准确性,敏感性和特异性分别为95.7%(95%CI:84.0-99.2),100%(95%CI:85.9-100)和87.5%(95%CI:60.4-) 97.8)。比较时,ABVS结合UE的诊断性能优于或至少等于ABVS(准确度91.3%(95%CI:78.3-97.2),灵敏度100%(95%CI:85.0-1.00) ,特异性77.8%(95%CI:51.9-92.6))或UE(准确度89.1%(95%CI:75.6-95.9),敏感性96.4%(95%CI:79.8-99.8),特异性77.8%(95%CI) :51.9-92.6)),但改善无统计学意义。结论ABVS和UE都显示出实质的考官间可靠性。 ABVS和UE的结合具有很高的诊断性能,可区分乳腺的良性和恶性病变,有助于提高诊断的准确性和特异性。

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