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Improved diagnostic accuracy of breast MRI through combined apparent diffusion coefficients and dynamic contrast-enhanced kinetics

机译:通过结合表观扩散系数和动态对比增强动力学,提高了乳房MRI的诊断准确性

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摘要

This study investigated the relationship between apparent diffusion coefficient (ADC) measures and dynamic contrast-enhanced magnetic resonance imaging (MRI) kinetics in breast lesions and evaluated the relative diagnostic value of each quantitative parameter. Seventy-seven women with 100 breast lesions (27 malignant and 73 benign) underwent both dynamic contrast-enhanced MRI and diffusion weighted MRI. Dynamic contrast-enhanced MRI kinetic parameters included peak initial enhancement, predominant delayed kinetic curve type (persistent, plateau, or washout), and worst delayed kinetic curve type (washout plateau persistent). Associations between ADC and dynamic contrast-enhanced MRI kinetic parameters and predictions of malignancy were evaluated. Results showed that ADC was significantly associated with predominant curve type (ADC was higher for lesions exhibiting predominantly persistent enhancement compared with those exhibiting predominantly washout or plateau, P = 0.006), but was not significantly associated with peak initial enhancement or worst curve type (P 0.05). Univariate analysis showed significant differences between benign and malignant lesions in both ADC (P 0.001) and worst curve (P = 0.003). In multivariate analysis, worst curve type and ADC were significant independent predictors of benign versus malignant outcome and in combination produced the highest area under the receiver operating characteristic curve (0.85 and 0.78 with 5-fold cross validation). Magn Reson Med, 2011. © 2011 Wiley-Liss, Inc.
机译:这项研究调查了表观扩散系数(ADC)措施和动态对比度增强磁共振成像(MRI)在乳腺病变中的动力学之间的关系,并评估了每个定量参数的相对诊断价值。有100例乳腺病变(27例恶性和73例良性)的77例妇女均接受了动态对比增强MRI和弥散加权MRI。动态对比增强MRI动力学参数包括峰初始增强,主要的延迟动力学曲线类型(持续,平稳或洗脱)和最差的延迟动力学曲线类型(洗脱>平稳>持续)。 ADC和动态对比增强MRI动力学参数和恶性预测之间的关联进行了评估。结果表明,ADC与主要曲线类型显着相关(与那些主要表现为持续性增强的病变相比,ADC显着高于持续性增强的病变,P = 0.006),但与峰值初始增强或最差曲线类型(P均不显着相关) > 0.05)。单因素分析显示ADC的良性和恶性病变之间存在显着差异(P <0.001),最差曲线也是如此(P = 0.003)。在多变量分析中,最差的曲线类型和ADC是良性与恶性结局的重要独立预测因子,并在接收器工作特征曲线下共同产生最高面积(0.85和0.78,5倍交叉验证)。 Magn Reson Med,2011年。©2011 Wiley-Liss,Inc.。

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