Contrast-ultrasound dispersion imaging for renal cell carcinoma diagnostics.

IF 3.4 Q2 Medicine
Peiran Chen, Simona Turco, Zhaohan Liu, Christiaan Widdershoven, Jorg Oddens, Hessel Wijkstra, Massimo Mischi, Patricia Zondervan
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引用次数: 0

Abstract

Cost-effective screening methods for Renal Cell Carcinoma (RCC) are still lacking. Angiogenesis is a recognized hallmark of cancer growth, leading to distinguishable perfusion patterns in tumors from those in normal tissue. This establishes the basis for diagnostic imaging solutions by dynamic contrast-enhanced ultrasound (DCE-US). In the past years, we have developed contrast-ultrasound dispersion imaging (CUDI) techniques to quantify prostate DCE-US acquisitions, obtaining promising results for prostate cancer localization. In this pilot study, we investigated for the first time its feasibility for RCC localization. DCE-US acquisitions of the kidney in 5 patients were used to perform CUDI analysis. With the obtained CUDI parameters and the delineated tumor and parenchyma regions, we performed pixel-based classification, from which the highest area under the receiver-operating-characteristic curve (AUC) = 0.96 was obtained for an individual patient, and an average AUC = 0.68 was obtained for the full patient dataset, showing the potential of CUDI for solid RCC localization. Further validation in a larger dataset and evaluation of the compatibility of point-of-care diagnosis are required.

超声弥散成像在肾细胞癌诊断中的应用。
目前仍缺乏具有成本效益的肾细胞癌(RCC)筛查方法。血管生成是癌症生长的一个公认的标志,导致肿瘤与正常组织中不同的灌注模式。这为动态对比增强超声(DCE-US)诊断成像解决方案奠定了基础。在过去的几年里,我们开发了对比超声弥散成像(CUDI)技术来量化前列腺DCE-US采集,在前列腺癌定位方面取得了令人鼓舞的结果。在本试点研究中,我们首次探讨了其在碾压混凝土本地化中的可行性。5例患者的肾脏DCE-US采集用于进行CUDI分析。利用获得的CUDI参数和所描绘的肿瘤和实质区域,我们进行了基于像素的分类,从个体患者中获得了接收者操作特征曲线下的最高面积(AUC) = 0.96,而整个患者数据集的平均AUC = 0.68,显示了CUDI在实体RCC定位中的潜力。需要在更大的数据集中进一步验证并评估即时诊断的兼容性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Ultrasound Journal
Ultrasound Journal Health Professions-Radiological and Ultrasound Technology
CiteScore
6.80
自引率
2.90%
发文量
45
审稿时长
22 weeks
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