Original Research
Comparative study into the robustness of compartmental modeling and model-free analysis in DCE-MRI studies
Article first published online: 27 FEB 2006
DOI: 10.1002/jmri.20529
Copyright © 2006 Wiley-Liss, Inc.
Additional Information
How to Cite
Roberts, C., Issa, B., Stone, A., Jackson, A., Waterton, J. C. and Parker, G. J. (2006), Comparative study into the robustness of compartmental modeling and model-free analysis in DCE-MRI studies. Journal of Magnetic Resonance Imaging, 23: 554–563. doi: 10.1002/jmri.20529
Publication History
- Issue published online: 16 MAR 2006
- Article first published online: 27 FEB 2006
- Manuscript Accepted: 28 DEC 2005
- Manuscript Received: 16 FEB 2005
- Abstract
- Article
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- Cited By
Keywords:
- contrast-enhanced MRI;
- reproducibility;
- pharmacokinetic modeling;
- microvascular endothelial permeability;
- quantitative analysis;
- semiquantitative analysis
Abstract
Purpose
To evaluate and compare the reproducibility of the preferred phenomenological parameter IAUC60 (initial area under the time-concentration curve [IAUC] defined over the first 60 seconds postenhancement) with the preferred modeling parameter (Ktrans), 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 T1 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 IAUC60 and Ktrans, although there was a trend towards better reproducibility for Ktrans (P = 0.0782). The 95% confidence intervals (CIs) for individual changes showed that for IAUC60 and Ktrans, 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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