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用于前列腺癌定位的三维定量动态对比超声

3-D Quantitative Dynamic Contrast Ultrasound for Prostate Cancer Localization.

作者信息

Schalk Stefan G, Huang Jing, Li Jia, Demi Libertario, Wijkstra Hessel, Huang Pintong, Mischi Massimo

机构信息

Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Department of Urology, Academic Medical Center, Amsterdam, The Netherlands.

Department of Ultrasound, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.

出版信息

Ultrasound Med Biol. 2018 Apr;44(4):807-814. doi: 10.1016/j.ultrasmedbio.2017.12.005. Epub 2018 Feb 12.

Abstract

To investigate quantitative 3-D dynamic contrast-enhanced ultrasound (DCE-US) and, in particular 3-D contrast-ultrasound dispersion imaging (CUDI), for prostate cancer detection and localization, 43 patients referred for 10-12-core systematic biopsy underwent 3-D DCE-US. For each 3-D DCE-US recording, parametric maps of CUDI-based and perfusion-based parameters were computed. The parametric maps were divided in regions, each corresponding to a biopsy core. The obtained parameters were validated per biopsy location and after combining two or more adjacent regions. For CUDI by correlation (r) and for the wash-in time (WIT), a significant difference in parameter values between benign and malignant biopsy cores was found (p < 0.001). In a per-prostate analysis, sensitivity and specificity were 94% and 50% for r, and 53% and 81% for WIT. Based on these results, it can be concluded that quantitative 3-D DCE-US could aid in localizing prostate cancer. Therefore, we recommend follow-up studies to investigate its value for targeting biopsies.

摘要

为了研究定量三维动态对比增强超声(DCE-US),尤其是三维对比超声弥散成像(CUDI)在前列腺癌检测和定位中的应用,43例因需进行10 - 12针系统活检而转诊的患者接受了三维DCE-US检查。对于每次三维DCE-US记录,计算基于CUDI和基于灌注的参数的参数图。参数图被划分为多个区域,每个区域对应一个活检针芯。所获得的参数在每个活检位置以及合并两个或更多相邻区域后进行验证。对于通过相关性(r)的CUDI和洗入时间(WIT),发现良性和恶性活检针芯之间的参数值存在显著差异(p < 0.001)。在前列腺整体分析中,r的敏感性和特异性分别为94%和50%,WIT的敏感性和特异性分别为53%和81%。基于这些结果,可以得出结论,定量三维DCE-US有助于前列腺癌的定位。因此,我们建议进行后续研究以探讨其在靶向活检中的价值。

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