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Diagnostic value of MR elastography in addition to contrast-enhanced MR imaging of the breast-initial clinical results.

机译:MR弹性成像对乳腺初始临床结果的对比增强MR成像的诊断价值。

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OBJECTIVE: The purpose of the study was to assess the additional value of magnetic resonance (MR) elastography (MRE) to contrast-enhanced (ce) MR imaging (MRI) for breast lesion characterisation. METHODS: Fifty-seven suspected breast lesions in 57 patients (mean age 52.4 years) were examined by ce MRI and MRE. All lesions were classified into BI-RADS categories. Viscoelastic parameters, e.g. alpha0 as an indicator of tissue stiffness, were calculated. Histology of the lesions was correlated with BI-RADS and viscoelastic properties. The positive predictive value (PPV) for malignancy, and the sensitivity and specificity of ce MRI were calculated. Receiver-operating characteristics (ROC) curves were separately calculated for both ce MRI and viscoelastic properties and conjoined to analyse the accuracy of diagnostic performance. RESULTS: The lesions (mean size 27.6 mm) were malignant in 64.9% (n = 37) of cases. The PPV for malignancy was significantly (p < 0.0001) dependent on BI-RADS classification. The sensitivity of ce MRI for breast cancer detection was 97.3% (36/37), whereas specificity was 55% (11/20). If ce MRI was combined with alpha0, the diagnostic accuracy could be significantly increased (p < 0.05; AUC(ce MRI) = 0.93, AUC(combined) = 0.96). CONCLUSIONS: In this study, the combination of MRE and ce MRI could increase the diagnostic performance of breast MRI. Further investigations of larger cohorts and smaller lesions (in particular those only visible on MRI) are necessary to validate these results.
机译:目的:本研究的目的是评估磁共振(MR)弹性成像(MRE)与对比增强(ce)MR成像(MRI)对乳腺病变特征的附加价值。方法:对57例(平均年龄为52.4岁)的57例疑似乳腺病变进行了MRI和MRE检查。将所有病变分类为BI-RADS类别。粘弹性参数,例如计算α0作为组织刚度的指标。病变的组织学与BI-RADS和粘弹性有关。计算恶性肿瘤的阳性预测值(PPV)以及ce MRI的敏感性和特异性。分别针对ce MRI和粘弹性特性计算接收器操作特征(ROC)曲线,并结合起来分析诊断性能的准确性。结果:在64.9%(n = 37)的病例中,病变(平均大小为27.6 mm)是恶性的。恶性肿瘤的PPV显着(p <0.0001)取决于BI-RADS分类。 ce MRI对乳腺癌检测的敏感性为97.3%(36/37),而特异性为55%(11/20)。如果将ce MRI与alpha0组合使用,则诊断准确性可能会大大提高(p <0.05; AUC(ce MRI)= 0.93,AUC(合并)= 0.96)。结论:本研究将MRE与ce MRI结合可以提高乳腺MRI的诊断性能。为了验证这些结果,有必要对较大的队列和较小的病变(尤其是仅在MRI上可见的病变)进行进一步研究。

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