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Abstract #4584

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

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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