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. 2006 Nov;24(5):1140-7.
doi: 10.1002/jmri.20729.

Repeatability of a reference region model for analysis of murine DCE-MRI data at 7T

Thomas E Yankeelov  1 , Laura M DeBusk, D Dean Billheimer, Jeffrey J Luci, P Charles Lin, Ronald R Price, John C Gore
Affiliations

Repeatability of a reference region model for analysis of murine DCE-MRI data at 7T

Thomas E Yankeelov et al. J Magn Reson Imaging. 2006 Nov.

Abstract

Purpose: To test the repeatability of a reference region (RR) model for the analysis of dynamic contrast-enhanced MRI (DCE-MRI) in a mouse model of cancer at high field.

Materials and methods: Seven mice were injected with 10(6) 4T1 mammary carcinoma cells and imaged eight to 10 days later on a Varian 7.0T scanner. Two DCE-MRI studies were performed for each mouse (separated by 2.5 hours). The RR model was used to analyze the data, and returned estimates on the perfusion-permeability index (Ktrans) for the RR and the tissue of interest (TOI), as well as the extravascular extracellular volume fraction (ve) for the TOI.

Results: When the first injection was compared with the second injection, all parameters tested were highly correlated (r2=0.90, 0.62, 0.82 for the RR Ktrans, TOI Ktrans, and TOI ve, respectively, with P<0.001 for all). To observe a statistically significant change (at the 5% level) in a treatment study with seven animals in each group, log10 changes of 0.084 and 0.077 in the tumor Ktrans and ve, respectively, are required.

Conclusion: If a reliable arterial input function (AIF) is unavailable, the RR model is a reasonable alternative to measuring MRI contrast-agent (CA) kinetics in mouse models of cancer at high field.

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