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Heterogeneity analysis of Gd-DTPA uptake: improvement in breast lesion differentiation.

机译:Gd-DTPA摄取的异质性分析:乳房病变分化的改善。

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PURPOSE: The aim of this study was to assess whether lesion heterogeneity through pixel-by-pixel analysis of contrast-enhanced MR parameter maps would improve breast lesion differentiation. METHOD: Forty-nine female patients with primary tumors of the breast were imaged using contrast-enhanced MRI. The rate of transfer of contrast medium between the lesion and plasma was calculated via compartmental modeling over semiautomatically delineated regions of interest. The distributions of transfer rate values were subdivided into 10 segments for each lesion. The rate of change of the statistical moments of the transfer rate measured over the 10 segments allowed a quantitative measure of heterogeneity. RESULTS: In this patient group of 25 malignant and 25 benign lesions, improved differentiation was achieved by using a measure of lesion heterogeneity. The sensitivity and specificity obtained were 88 and 88%, respectively, compared with 84 and 76% when using the mean value of the transfer rate coefficient. CONCLUSION: Pixel-by-pixel analysis of contrast medium transfer rate maps allows the examination of lesion heterogeneity and offers improved lesion differentiation. The new method used to quantify lesion heterogeneity relies on the manner in which the exchange rate parameter varies when calculated over different segments of the distribution.
机译:目的:本研究的目的是通过对比增强的MR参数图的逐像素分析来评估病变异质性是否会改善乳腺病变的分化。方法:使用对比增强MRI对49例女性乳腺原发性肿瘤患者进行成像。病变和血浆之间的造影剂转移率是通过在半自动描绘的目标区域上进行区室建模来计算的。对于每个病变,传输速率值的分布细分为10个部分。在10个段上测得的传输速率统计矩的变化率允许定量测量异质性。结果:在这个由25例恶性病变和25例良性病变组成的患者组中,通过测量病变异质性可改善分化。使用转移速率系数的平均值时,灵敏度和特异性分别为88%和88%,而84%和76%。结论:造影剂传输速率图的逐像素分析可以检查病变的异质性,并改善病变的分化。用于量化病灶异质性的新方法依赖于在分布的不同部分上计算时汇率参数变化的方式。

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