In dynamic contrast-enhanced MR imaging (DCE-MRI), sampling of the arterial input function (AIF) is required for analysis using the general kinetic model (GKM). Alternatively, the recently proposed reference region model (RRM) may be employed to avoid the need of acquiring the AIF. This study aimed
Comparative study into the robustness of compartmental modeling and model-free analysis in DCE-MRI studies
✍ Scribed by Caleb Roberts; Basma Issa; Andrew Stone; Alan Jackson; John C. Waterton; Geoffrey J.M. Parker
- Publisher
- John Wiley and Sons
- Year
- 2006
- Tongue
- English
- Weight
- 317 KB
- Volume
- 23
- Category
- Article
- ISSN
- 1053-1807
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
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 (K^trans^), 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 K^trans^ (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. J. Magn. Reson. Imaging 2006. © 2006 Wiley‐Liss, Inc.
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