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Statistical characterization of Ultrasound-Contrast-agent velocity fields for prostate cancer localization

机译:前列腺癌局部化超声对比剂速度场的统计表征

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Prostate cancer (PCa) is the second leading cause of cancer mortality in men. Visualization of angiogenic vascularization associated with the development of tumors is of particular interest for PCa detection. For this purpose, Dynamic Contrast Enhanced Ultrasound (DCE-US) is a widely used noninvasive imaging modality. The passage of ultrasound contrast agents through the prostate is usually analyzed for the assessment of tissue perfusion. However, the well-known heterogeneous nature of blood flow in angiogenic vasculature hampers the effectiveness of perfusion based parameters. In this regard, quantification of the flow heterogeneity may provide a relevant additional feature for localizing angiogenesis. Statistics based on flow magnitude, as well as its orientation, can be exploited for this purpose. The objective of this study is to estimate the microbubble velocity fields from a standard bolus injection, and to provide a first statistical characterization by performing a spatial entropy analysis. By testing the method on 12 patients with biopsy-proven prostate cancer, we show that the proposed method can be applied effectively to clinically acquired DCE-US data. The method permits estimation of the in-plane flow vector fields and their local heterogeneity, yielding promising results (receiver-operating-characteristic curve area of 0.82) for the detection of prostate cancer.
机译:前列腺癌(PCA)是男性中癌症死亡率的第二个主要原因。与肿瘤发育相关的血管生成血管化的可视化对于PCA检测特别感兴趣。为此目的,动态对比增强超声(DCE-US)是广泛使用的非侵入性成像模态。超声造影剂通过前列腺通过前列腺的通过以进行组织灌注的评估。然而,血管生成脉管系统中血流的众所周知的异构性质妨碍了基于灌注的参数的有效性。在这方面,流动异质性的定量可以提供用于定位血管生成的相关附加特征。可以针对此目的利用基于流量幅度的统计数据及其方向。本研究的目的是估计来自标准推注注射的微泡速度场,并通过执行空间熵分析来提供第一统计表征。通过测试12例活检验证前列腺癌患者的方法,我们表明该方法可以有效应用于临床获取的DCE-US数据。该方法允许估计面内流载体场及其局部异质性,从而产生有希望的结果(接收器 - 操作 - 特征曲线面积为0.82),用于检测前列腺癌。

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