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Abstract #0142

How the choice of PK model and AIF affect DCE-MRI detection of pancreatic cancer responses to stroma-directed drug?

Jianbo Cao1, Stephen Pickup1, Peter O’Dwyer2,3, Mark Rosen1,3, and Rong Zhou1,3
1Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Pancreatic Cancer Research Center, University of Pennsylvania, Philadelphia, PA, United States, 3Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA, United States

Pancreatic ductal adenocarcinoma (PDA) is characterized by a dense stroma, which poses a substantial barrier to drug penetration and motivates development of stroma-directed interventions. We aim to test the utility of DCE-MRI to predict PDA responses to such treatment. We compared individual versus group-arterial input function approach and metric including Ktrans, kep and Vp derived from three commonly used pharmacokinetic models. Our data provides rationale for choice of PK model and AIF approach which lead to quantitative DCE-MRI marker of optimal sensitivity and specificity for detection of PDA responses to human hyaluronidase that reduces PDA stroma.

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