Delineating malignant and normal tissue in prostate cancer using DCE-MRI modeling to quantify Perfusion, Capillary Permeability and Dispersion
John Carr 1 , Daniel Margolis 1 , Steven Raman 1 , and Kyung Sung 1
Department of Radiological Sciences, UCLA,
Los Angeles, California, United States
We assess pharmacokinetic modeling of DCE-MRI in
prostate cancer where histo-pathology is available to
investigate the ability of DCE-MRI to delineate between
cancerous and normal prostate tissues. We show measuring
dispersion which does not require an AIF can gives a
dramatic increase in specificity compared to Ktrans. We
use the AATH model to quantify perfusion and capillary
permeability thus decoding Ktrans and allowing a more
complete understanding of tissue physiology to be had.
We believe combining dispersion mapping with
physiological measurements derived from DCE-MRI using
the AATH model will offer a powerful method for prostate
cancer detection and active surveillance.
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