Suppr超能文献

用于肾细胞癌诊断的超声造影弥散成像

Contrast-ultrasound dispersion imaging for renal cell carcinoma diagnostics.

作者信息

Chen Peiran, Turco Simona, Liu Zhaohan, Widdershoven Christiaan, Oddens Jorg, Wijkstra Hessel, Mischi Massimo, Zondervan Patricia

机构信息

Department of Electrical Engineering, Eindhoven University of Technology, De Groene Loper 19, Eindhoven, 5612 AP, the Netherlands.

Department of Urology, Amsterdam University Medical Centers, De Boelelaan 1117, Amsterdam, 1081 HV, the Netherlands.

出版信息

Ultrasound J. 2025 Apr 16;17(1):23. doi: 10.1186/s13089-025-00423-7.

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.

摘要

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标志,导致肿瘤中的灌注模式与正常组织中的灌注模式有所不同。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。在过去几年中,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有前景的结果。在这项初步研究中,我们首次研究了其在RCC定位中的可行性。对5例患者的肾脏进行DCE-US采集以进行CUDI分析。利用获得的CUDI参数以及划定的肿瘤和实质区域,我们进行了基于像素的分类,其中一名患者获得的受试者操作特征曲线(AUC)下的最高面积 = 0.96,整个患者数据集的平均AUC = 0.68,表明CUDI在实性RCC定位方面具有潜力。需要在更大的数据集中进行进一步验证,并评估即时诊断的兼容性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c610/12003236/9e4fed93082e/13089_2025_423_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验