Abstract #0609
Improved Fitting of Breast Pharmacokinetic Parameters using Dispersion Models
Subashini Srinivasan 1 , Brian A Hargreaves 1 , and Bruce L Daniel 1
1
Department of Radiology, Stanford
University, Palo Alto, California, United States
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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