Dynamic PET With FDG in Patients With Unresectable Aggressive Fibromatosis Regression-Based Parametric Images and Correlation to the FDG Kinetics Based on a 2-Tissue Compartment Model
Dynamic PET With FDG in Patients With Unresectable Aggressive Fibromatosis Regression-Based Parametric Images and Correlation to the FDG Kinetics Based on a 2-Tissue Compartment Model
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DOI：
10.1097/rlu.0b013e31825b1da4
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发表时间：
2012-10-01
影响因子：
10.6
通讯作者：
Strauss, Ludwig G.
中科院分区：
文献类型：
--
作者：
Dimitrakopoulou-Strauss, Antonia;Hohenberger, Peter;Strauss, Ludwig G.
目的：在伊马替尼治疗前对不可切除的侵袭性纤维瘤病患者进行F-18-FDG动态PET（dPET）研究。该研究的目的是评估基于回归的参数成像对肿瘤诊断的影响。之间的回归为基础的定量数据（斜率和截距值）与房室数据FDGwerperformed.Methods：评价包括24例复发性疾病（n = 14），残留组织（n = 2），或原发性疾病（n = 8），谁被安排与伊马替尼姑息治疗。通过将线性回归函数拟合到时间-活性数据和每个体素，基于dPET数据计算参数图像。使用专用软件计算时间-活性数据的斜率和截距图像。还通过将2-组织房室模型应用于dPET数据来进行基于感兴趣体积的分析。将得到的FDG动力学参数[血容量（V-B），k（1）-k（4）]与基于感兴趣体积的斜率和截距数据进行比较。参数图像的评价进行了可视化和quantitatively.Results：24个肿瘤中有20个可以在SUV图像中显示，具有中等摄取，在已经从MR图像中已知的位置。大多数（16/24）肿瘤在截距图像上表现出明显的增强，其中4例表现出中等程度的增强，仅4例在截距图像上没有表现出任何增强。相比之下，24个肿瘤中只有10个显示出明显增强的斜率，其中3个显示出轻微增强的斜率，24个患者中的11个在已知硬纤维瘤区域内没有显示出任何斜率增强。斜率与SUV的相关性最高（r = 0.56，P < 0.05），截距与k（1）的相关性最高（r = 0.794，P < 0.05），其次是V-B分数（r = 0.709，P < 0.05），再其次是SUV（r = 0.630，P < 0.05）。结果表明，斜率图像相关的运输/磷酸化依赖的FDG的一部分，而截距图像相关的运输/灌注的FDG.Conclusions的一部分：这些数据表明，使用基于回归的参数成像有助于区分运输/灌注和运输/磷酸化依赖的FDG的摄取，并证明运输/磷酸化率低，在大多数这些肿瘤。
Objective: Dynamic PET (dPET) studies with F-18-FDG were performed in patients with unresectable aggressive fibromatosis before imatinib therapy. The goal of the study was to evaluate the impact of regression-based parametric imaging on tumor diagnostics. A comparison between the regression-based quantitative data (slope and intercept values) with the compartmental data of FDG was performed.Methods: The evaluation includes 24 patients with recurrent disease (n = 14), residual tissue (n = 2), or primary disease (n = 8), who were scheduled for palliative treatment with imatinib. Parametric images were calculated based on the dPET data by fitting a linear regression function to the time-activity data and for each voxel. Images of the slope and the intercept of the time-activity data were calculated using a dedicated software. A volume-of-interest-based analysis was also performed by applying a 2-tissue compartment model to the dPET data. The resulting parameters of the FDG kinetics [blood volume (V-B), k(1)-k(4)] were compared with the volume-of-interest-based slope and intercept data. The evaluation of the parametric images was performed visually and quantitatively.Results: Twenty of 24 tumors could be visualized in the SUV images with a moderate uptake, in locations that were already known from the MR images. Most (16/24) of the tumors demonstrated a clear enhancement in the intercept images, whereas 4 of them showed an intermediate enhancement and only 4 did not show any enhancement in the intercept images. In contrast, only 10 of 24 tumors demonstrated a clearly enhanced slope, 3 of them revealed a slightly enhanced slope, and 11 of the 24 patients did not demonstrate any slope enhancement within the area of the known desmoid tumors. The comparison of slope revealed the highest correlation to the SUV (r = 0.56, P < 0.05), whereas the intercept values demonstrated the highest correlation to k(1) (r = 0.794, P < 0.05), followed by the fractional V-B (r = 0.709, P < 0.05), followed by SUV (r = 0.630, P < 0.05). The results indicate that slope images are related to the transport/phosphorylation-dependent part of FDG, whereas intercept images are related to the transport/perfusion part of FDG.Conclusions: These data demonstrate that the use of regression-based parametric imaging helps to differentiate between transport/perfusion- and transport/phosphorylation-dependent FDG uptake and demonstrate that the transport/phosphorylation rate is low in most of these tumors.