实性肝脏病变的超声造影灌注定量:术中肿瘤微血管化的首次表征。

Laura S Kupke, Paul Kupke, Nina Käser, Moritz K Brandenstein, Liang Zhang, Christian Stroszczynski, Ernst-Michael Jung
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摘要

本研究的目的是根据其微血管化程度来区分实性肝脏病变。因此,我们使用对比增强术中超声(CE-IOUS)测量的时间强度曲线(TIC)分析灌注。材料与方法回顾性收集40例诊断为肝细胞癌(HCC)、肝内胆管癌(CCC)或肝转移瘤(LM)的肝脏手术患者的资料。CE-IOUS使用连接到高分辨率设备的线性多频t探针进行。记录DICOM (Digital Imaging and Communications in Medicine)环路,分析TIC在肿瘤中心、边缘和参考组织的峰值时间(time to peak, TTP)和曲线下面积(area under curve, AUC)。结果肿瘤中心分析显示HCC病变的AUC显著高于CCC (p = 0.0310)。HCC患者在对照组织中的TTP也比CCC患者长(p = 0.0251)。在HCC队列中,与对照组织相比,肿瘤边缘的TTP较短(p = 0.0420)。对于LM,在肿瘤边缘测量的AUC高于中心和参考组织(pcenter-margin = 0.0266, pmargin-reference = 0.0064)。结论CE-IOUS期间实性肝病变的tic分析显示其微血管化、术中分化改善有显著差异。人工智能工具可能会在未来通过标准化和运动补偿来增强欠条。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contrast-enhanced ultrasound perfusion quantification of solid liver lesions: First intraoperative characterization of tumor microvascularization.

AimAim of the study was to differentiate solid liver lesions according to their microvascularization. Therefore, we analyzed perfusion using time intensity curves (TIC) measured during contrast-enhanced intraoperative ultrasound (CE-IOUS).Material and MethodsData of 40 patients who underwent hepatic surgery with the diagnosis of hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (CCC), or liver metastases (LM) were retrospectively collected. CE-IOUS was performed using a linear multifrequency T-probe connected to a high-resolution device. Digital Imaging and Communications in Medicine (DICOM) loops were recorded, and TIC were analyzed for time to peak (TTP) and area under the curve (AUC) in tumor center, margin and reference tissue.ResultsAnalyses of the tumor center revealed significant higher AUC in HCC lesions than in CCC (p = 0.0310). HCC patients also showed longer TTP in reference tissue compared to CCC (p = 0.0251). Within the HCC cohort, TTP was shorter at tumor margins compared to reference tissue (p = 0.0420). For LM, AUC measured at tumor margins was higher than in center and reference tissue (pcenter-margin = 0.0266, pmargin-reference = 0.0064).ConclusionTIC analysis of solid liver lesions during CE-IOUS revealed significant differences in their microvascularization, improving, intraoperative differentiation. Artificial intelligence tools may enhance IOUS in the future by standardization and motion compensation.

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