Comparative study iinto the robustness of compartmental modeling and model-free analysis in DCE-MRI studies
Comparative study iinto the robustness of compartmental modeling and model-free analysis in DCE-MRI studies
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DOI：
10.1002/jmri.20529
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发表时间：
2006-04-01
影响因子：
4.4
通讯作者：
Parker, GJM
中科院分区：
文献类型：
--
作者：
Roberts, C;Issa, B;Parker, GJM
目的：评价和比较首选现象学参数IAUC（60）的重现性在典型的I期临床试验条件下收集的腹部和大脑数据中，使用如使用两个简单模型导出的优选建模参数（在增强后的前60秒内定义的时间-浓度曲线下的初始面积[IAUC]）来计算。动态对比增强MRI（DCE-MRI）时间序列采集在两个成像中心从一组患者腹部肿瘤和一组胶质瘤。在两个成像中心，使用可变翻转角三维扰相梯度回波采集计算对比前T-1，用于量化组织造影剂浓度。结果：再现性的比较显示，在IAUC（60）和K-transs之间的再现性没有统计学显著差异，尽管对于W，an，（p = 0.0782）有朝向更好再现性的趋势。个体变化的95%置信区间（CI）显示，IAUC（60）和K-transs的变化分别超过47%和31%。结论：虽然建模比IAUC参数化更复杂，计算更密集，但我们的数据表明这种方法优于无模型方法，因为它提供了更大的生理洞察力，而不会降低I/II期临床药物试验的统计能力。
Purpose: To evaluate and compare the reproducibility of the preferred phenomenological parameter IAUC(60) (initial area under the time-concentration curve [IAUC] defined over the first 60 seconds postenhancement) with the preferred modeling parameter as derived using two simple models, in abdominal and cerebral data collected in typical Phase I clinical trial conditions.Materials and Methods: Dynamic contrast enhanced MRI (DCE-MRI) time series were acquired at two imaging centers from a group of patients with abdominal tumors and a group with gliomas. At both imaging centers, precontrast T-1 was calculated using a variable flip angle three-dimensional spoiled gradient echo acquisition that was used to quantify tissue contrast agent concentration. allowing voxelwise definition of summary DCE-MRI parameters.Results: A comparison of reproducibility showed that there was no statistically significant difference in reproducibility between IAUC(60) and K-trans, although there was a trend towards better reproducibility for W,an, (p = 0.0782). The 95% confidence intervals (CIs) for individual changes showed that for IAUC(60) and K-trans, changes in excess of 47% and 31%, respectively. are outside the range of normal variability.Conclusion: Although modeling is more complex and more computationally intensive than an IAUC parameterization, our data suggest this approach to be preferable to a model-free approach since it provides greater physiological insight without a reduction in statistical power for Phase I/II clinical drug trials.