Lab of Biomedical Diagnostics, Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Lab of Biomedical Diagnostics, Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Ultrasound Med Biol. 2019 Oct;45(10):2713-2724. doi: 10.1016/j.ultrasmedbio.2019.05.017. Epub 2019 Jul 10.
Trans-rectal ultrasound-guided 12-core systematic biopsy (SBx) is the standard diagnostic pathway for prostate cancer (PCa) because of a lack of sufficiently accurate imaging. Quantification of 3-D dynamic contrast-enhanced ultrasound (US) might open the way for a targeted procedure in which biopsies are directed at lesions suspicious on imaging. This work describes the expansion of contrast US dispersion imaging algorithms to 3-D and compares its performance against malignant and benign disease. Furthermore, we examined the feasibility of a multi-parametric approach to predict SBx-core outcomes using machine learning. An area under the receiver operating characteristic (ROC) curve of 0.76 and 0.81 was obtained for all PCa and significant PCa, respectively, an improvement over previous US methods. We found that prostatitis, in particular, was a source of false-positive readings.
经直肠超声引导 12 针系统活检（SBx）是前列腺癌（PCa）的标准诊断途径，因为缺乏足够准确的影像学检查。3-D 动态对比增强超声（US）的定量分析可能为靶向活检开辟道路，使活检针对影像学上可疑的病变。本研究描述了对比增强超声弥散成像算法的扩展到 3-D 并比较其对良恶性疾病的性能。此外，我们还研究了使用机器学习对 SBx 核心结果进行多参数预测的可行性。对于所有 PCa 和有意义的 PCa，获得了 0.76 和 0.81 的接收器操作特征（ROC）曲线下面积，优于以前的 US 方法。我们发现前列腺炎，特别是，是假阳性读数的来源。
