Improved Fitting of Breast Pharmacokinetic Parameters using Dispersion Models

Quantitative pharmacokinetic mapping of breast DCE MRI is often performed using a Tofts model and requires the measurement of arterial input function. The measured or modeled AIF in a distant artery is assumed to be identical to the tumor tissues input. However, angiogenesis can delay and disperse the AIF resulting in poor model fitting and errors in pharmacokinetic mapping. In this study, the fitting of pharmacokinetic parameters using two different dispersion models was compared to use of a Tofts model without dispersion in 10 patients. The goodness-of-fit was considerably improved using dispersion models and may improve the accuracy of tumor characterization and treatment response.

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