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’Dwyer^2,3, Mark Rosen^1,3, and Rong Zhou^1,3

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 K^trans, k_ep and V_p 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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