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传统药代动力学模型与首过药代动力学模型在人类胶质瘤中获得的Ktrans测量值的比较。

A comparison of Ktrans measurements obtained with conventional and first pass pharmacokinetic models in human gliomas.

作者信息

Haroon Hamied A, Buckley David L, Patankar Tufail A, Dow Graham R, Rutherford Scott A, Balériaux Danielle, Jackson Alan

机构信息

Imaging Science and Biomedical Engineering, University of Manchester, Manchester, UK.

出版信息

J Magn Reson Imaging. 2004 May;19(5):527-36. doi: 10.1002/jmri.20045.

Abstract

PURPOSE

To compare in a group of patients with cerebral gliomas the estimates of Ktrans between a conventionally established pharmacokinetic model and a recently developed first pass method.

MATERIALS AND METHODS

Glioma patients (23) were studied using T1-weighted dynamic contrast-enhanced magnetic resonance imaging (MRI), and two alternative pharmacokinetic models were used for analysis to derive the volume transfer constant Ktrans. These were a modified version of the established model (yielding KTK) and a recently published method based on first pass leakage profile (FP) of contrast bolus (yielding Kfp).

RESULTS

We found a strong correlation between intra-tumoral median KTK and Kfp (rho = 0.650, P < 0.01), but the values from the conventional model were consistently and significantly higher (mean of inter-tumoral Kfp and KTK medians were 0.018 minute(-1) and 0.284 minute(-1), respectively, P < 0.001). The spatial distribution of KTK and Kfp showed poor correlation in the presence of large vascular structures and good correlation elsewhere.

CONCLUSION

KTK and Kfp produce similar biologic information within voxels not dominated by vascular tissue. The FP method avoids erroneous overestimation of Ktrans in areas of significant intravascular contrast. Findings are in keeping with the predictions of previous mathematical simulations.

摘要

目的

在一组脑胶质瘤患者中比较传统建立的药代动力学模型与最近开发的首过法对Ktrans的估计。

材料与方法

对23例胶质瘤患者进行T1加权动态对比增强磁共振成像(MRI)研究,并使用两种替代药代动力学模型进行分析以得出容积转移常数Ktrans。这两种模型分别是已建立模型的修改版本(得出KTK)和最近发表的基于对比剂团注首过漏出曲线(FP)的方法(得出Kfp)。

结果

我们发现肿瘤内中位数KTK与Kfp之间存在强相关性(rho = 0.650,P < 0.01),但传统模型的值始终显著更高(肿瘤间Kfp和KTK中位数的平均值分别为0.018分钟-1和0.284分钟-1,P < 0.001)。在存在大血管结构的情况下,KTK和Kfp的空间分布相关性较差,而在其他地方相关性良好。

结论

在非血管组织主导的体素内,KTK和Kfp产生相似的生物学信息。FP方法避免了在血管内对比显著的区域对Ktrans的错误高估。研究结果与先前数学模拟的预测一致。

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