Krolak Connor, Wei Angela, Shumaker Marissa, Dighe Manjiri, Averkiou Michalakis
From the Department of Bioengineering, University of Washington, Seattle, WA (C.K., A.W., M.S., M.A.); and Department of Radiology, University of Washington, Seattle, WA (M.D.).
Invest Radiol. 2025 Apr 1;60(4):281-290. doi: 10.1097/RLI.0000000000001127. Epub 2024 Oct 9.
The aim of this study is to define a comprehensive and repeatable contrast-enhanced ultrasound (CEUS) imaging protocol and analysis method to quantitatively assess lesional blood flow. Easily repeatable CEUS evaluations are essential for longitudinal treatment monitoring. The quantification method described here aims to provide a structure for future clinical studies.
This retrospective analysis study included liver CEUS studies in 80 patients, 40 of which contained lesions (primarily hepatocellular carcinoma, n = 28). Each patient was given at least 2 injections of a microbubble contrast agent, and 60-second continuous loops were acquired for each injection to enable evaluation of repeatability. For each bolus injection, 1.2 mL of contrast was delivered, whereas continuous, stationary scanning was performed. Automated respiratory gating and motion compensation algorithms dealt with breathing motion. Similar in size regions of interest were drawn around the lesion and liver parenchyma, and time-intensity curves (TICs) with linearized image data were generated. Four bolus transit parameters, rise time ( RT ), mean transit time ( MTT ), peak intensity ( PI ), and area under the curve ( AUC ), were extracted either directly from the actual TIC data or from a lognormal distribution curve fitted to the TIC. Interinjection repeatability for each parameter was evaluated with coefficient of variation. A 95% confidence interval was calculated for all fitted lognormal distribution curve coefficient of determination ( R2 ) values, which serves as a data quality metric. One-sample t tests were performed between values obtained from injection pairs and between the fitted lognormal distribution curve and direct extraction from the TIC calculation methods to establish there were no significant differences between injections and measurement precision, respectively.
Average interinjection coefficient of variation with both the fitted curve and direct calculation of RT and MTT was less than 21%, whereas PI and AUC were less than 40% for lesion and parenchyma regions of interest. The 95% confidence interval for the R2 value of all fitted lognormal curves was [0.95, 0.96]. The 1-sample t test for interinjection value difference showed no significant differences, indicating there was no relationship between the order of the repeated bolus injections and the resulting parameters. The 1-sample t test between the values from the fitted lognormal distribution curve and the direct extraction from the TIC calculation found no statistically significant differences (α = 0.05) for all perfusion-related parameters except lesion and parenchyma PI and lesion MTT .
The scanning protocol and analysis method outlined and validated in this study provide easily repeatable quantitative evaluations of lesional blood flow with bolus transit parameters in CEUS data that were not available before. With vital features such as probe stabilization ideally performed with an articulated arm and an automated respiratory gating algorithm, we were able to achieve interinjection repeatability of blood flow parameters that are comparable or surpass levels currently established for clinical 2D CEUS scans. Similar values and interinjection repeatability were achieved between calculations from a fitted curve or directly from the data. This demonstrated not only the strength of the protocol to generate TICs with minimal noise, but also suggests that curve fitting might be avoided for a more standardized approach. Utilizing the imaging protocol and analysis method defined in this study, we aim for this methodology to potentially assist clinicians to assess true perfusion changes for treatment monitoring with CEUS in longitudinal studies.
本研究旨在定义一种全面且可重复的超声造影(CEUS)成像方案及分析方法,以定量评估病变的血流情况。易于重复的CEUS评估对于纵向治疗监测至关重要。此处描述的量化方法旨在为未来的临床研究提供一个框架。
这项回顾性分析研究纳入了80例患者的肝脏CEUS检查,其中40例含有病变(主要为肝细胞癌,n = 28)。每位患者至少接受2次微泡造影剂注射,并在每次注射时采集60秒的连续图像环,以评估重复性。每次团注注射时,注入1.2 mL造影剂,同时进行连续、固定的扫描。自动呼吸门控和运动补偿算法处理呼吸运动。在病变和肝实质周围绘制大小相似的感兴趣区域,并生成带有线性化图像数据的时间-强度曲线(TIC)。从实际TIC数据或拟合到TIC的对数正态分布曲线中直接提取四个团注通过参数,即上升时间(RT)、平均通过时间(MTT)、峰值强度(PI)和曲线下面积(AUC)。用变异系数评估每个参数的注射间重复性。为所有拟合的对数正态分布曲线的决定系数(R2)值计算95%置信区间,其作为数据质量指标。在注射对获得的值之间以及拟合的对数正态分布曲线与从TIC计算方法直接提取的值之间进行单样本t检验,以分别确定注射之间和测量精度之间没有显著差异。
拟合曲线以及直接计算RT和MTT时,注射间平均变异系数小于21%,而病变和感兴趣实质区域的PI和AUC小于40%。所有拟合对数正态曲线的R2值的95%置信区间为[0.95, 0.96]。注射间值差异的单样本t检验显示无显著差异,表明重复团注注射的顺序与所得参数之间没有关系。拟合对数正态分布曲线的值与从TIC计算直接提取的值之间的单样本t检验发现,除病变和实质PI以及病变MTT外,所有灌注相关参数均无统计学显著差异(α = 0.05)。
本研究中概述并验证的扫描方案和分析方法,利用团注通过参数对CEUS数据中的病变血流进行易于重复的定量评估,这在此前是无法实现的。通过诸如使用关节臂理想地实现探头稳定以及自动呼吸门控算法等关键特性,我们能够实现血流参数的注射间重复性,其与当前临床二维CEUS扫描所确立的水平相当或更高。拟合曲线计算和直接从数据计算之间获得了相似的值和注射间重复性。这不仅证明了该方案生成低噪声TIC的优势,还表明为了采用更标准化的方法可能无需进行曲线拟合。利用本研究中定义的成像方案和分析方法,我们旨在使该方法可能有助于临床医生在纵向研究中通过CEUS评估真正的灌注变化以进行治疗监测。