Ivor Dropco, Ulrich Kaiser, Friedrich Jung, Ľudivít Danihel, Hans J Schlitt, Christian Stroszczynski, Wolfgang Herr, Stefan M Brunner, Ernst Michael Jung
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The generated parametric images were based on continuous cine loops, acquired with a multifrequency T-probe (6-9 MHz), from the early arterial phase (0-15 seconds) to the portal venous phase (1 minute), generated by integrated perfusion software. Analyses of the CEUS loops were performed using TICs with respect to time-to-peak (TTP) and area under the curve (AUC). Perfusion analysis was performed in the center and periphery of the tumor as well as in healthy liver tissue. All tumor lesions were evaluated histopathologically to verify the diagnosis.Sufficient image quality was achieved in all cases using CEUS for TIC analysis. A comparison of all groups showed a clear difference compared with the center, margin, and healthy liver tissue in the measured parameters of TTP and AUC (p = 0.035 and p = 0.045, respectively). In detail, differences were observed in the CCC group (TTP: p = 0.025) and in the HepMET group (TTP: p = 0.009), particularly in the peripheral areas (strong arterial flooding with a rapid increase in the flooding curve), with equally clear tumor edge representation compared with healthy liver tissue, as shown by the AUC analysis (CCC AUC: p = 0.032 and HepMET AUC: p = 0.029). In patients with HCC, the perfusion pattern (starting from the center) showed the center to be more clearly distinguishable from the edge with significant TTP and AUC (p = 0.035 and p = 0.038).Intraoperative TIC analysis of malignant liver tumors is an important diagnostic tool for better highlighting liver tumor margins during surgery. · CEUS with dynamic vascularization. Analysis of liver malignancies and tumor margins. Intraoperative time intensity curve analysis.. · Dropco I, Kaiser U, Jung F et al. 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引用次数: 0
摘要
本研究的目的是利用对比增强超声(CEUS)的时间强度曲线(TIC)分析对局灶性肝脏病变进行术中评估,以更好地评估肝脏肿瘤边缘。本研究纳入28例肝脏恶性病变(胆管细胞癌(CCC), n = 9;肝细胞癌(HCC), 6例;肝转移(HepMET), n = 13)。术中行b超、彩色多普勒超声和超声造影分析局灶性病变。生成的参数图像基于连续的电影循环,由多频t探针(6-9 MHz)获取,从早期动脉期(0-15秒)到门静脉期(1分钟),由集成灌注软件生成。使用tic对CEUS环路进行峰值时间(TTP)和曲线下面积(AUC)的分析。在肿瘤中心和周围以及健康肝组织中进行灌注分析。所有肿瘤病变均行组织病理学检查以证实诊断。在所有情况下,使用CEUS进行TIC分析都获得了足够的图像质量。各组间比较,TTP、AUC测量参数与中心、边缘、健康肝组织比较差异有统计学意义(p = 0.035、p = 0.045)。具体而言,在CCC组(TTP: p = 0.025)和HepMET组(TTP: p = 0.009)中观察到差异,特别是在外周区域(强烈的动脉浸润,浸润曲线迅速增加),与健康肝组织相比,肿瘤边缘表现同样清晰,如AUC分析(CCC AUC: p = 0.032, HepMET AUC: p = 0.029)。HCC患者灌注模式(从中心开始)显示中心与边缘更清晰,TTP和AUC显著(p = 0.035和p = 0.038)。术中肝恶性肿瘤的TIC分析是术中更好地显示肝肿瘤边缘的重要诊断工具。·动态血管化超声心动图。肝脏恶性肿瘤及肿瘤边缘分析。术中时间强度曲线分析。·Dropco I, Kaiser U, Jung F等。术中造影增强超声(CEUS)结合时间强度曲线(TIC)分析能更好地评估肝肿瘤边缘。Rofo 2025;DOI 10.1055 / - 2600 - 7229。
Intraoperative contrast-enhanced ultrasound (CEUS) with time intensity curve (TIC) analysis for better assessment of liver tumor margins.
The purpose of this study was to conduct an intraoperative evaluation of focal liver lesions using time intensity curve (TIC) analysis of contrast-enhanced ultrasound (CEUS) to better assess liver tumor margins.This study included 28 patients (21 men 75%, 7 women 25%) with malignant liver lesions (cholangiocellular carcinoma (CCC), n = 9; hepatocellular carcinoma (HCC), n = 6; hepatic metastases (HepMET), n = 13). A B-mode scan, color-coded Doppler sonography, and CEUS were performed intraoperatively to analyze the focal lesions. The generated parametric images were based on continuous cine loops, acquired with a multifrequency T-probe (6-9 MHz), from the early arterial phase (0-15 seconds) to the portal venous phase (1 minute), generated by integrated perfusion software. Analyses of the CEUS loops were performed using TICs with respect to time-to-peak (TTP) and area under the curve (AUC). Perfusion analysis was performed in the center and periphery of the tumor as well as in healthy liver tissue. All tumor lesions were evaluated histopathologically to verify the diagnosis.Sufficient image quality was achieved in all cases using CEUS for TIC analysis. A comparison of all groups showed a clear difference compared with the center, margin, and healthy liver tissue in the measured parameters of TTP and AUC (p = 0.035 and p = 0.045, respectively). In detail, differences were observed in the CCC group (TTP: p = 0.025) and in the HepMET group (TTP: p = 0.009), particularly in the peripheral areas (strong arterial flooding with a rapid increase in the flooding curve), with equally clear tumor edge representation compared with healthy liver tissue, as shown by the AUC analysis (CCC AUC: p = 0.032 and HepMET AUC: p = 0.029). In patients with HCC, the perfusion pattern (starting from the center) showed the center to be more clearly distinguishable from the edge with significant TTP and AUC (p = 0.035 and p = 0.038).Intraoperative TIC analysis of malignant liver tumors is an important diagnostic tool for better highlighting liver tumor margins during surgery. · CEUS with dynamic vascularization. Analysis of liver malignancies and tumor margins. Intraoperative time intensity curve analysis.. · Dropco I, Kaiser U, Jung F et al. Intraoperative contrast-enhanced ultrasound (CEUS) with time intensity curve (TIC) analysis for better assessment of liver tumor margins. Rofo 2025; DOI 10.1055/a-2600-7229.
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