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Abstract #0580

The Impact of Arterial Input Function Determination Variation on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge

Wei Huang1, Yiyi Chen1, Andriy Fedorov2, Xia Li3, Guido Jajamovich4, Dariya I Malyarenko5, Madhava Aryal5, Peter S LaViolette6, Matthew J Oborski7, Finbarr O’Sullivan8, Richard G Abramson9, Mark Muzi10, Kourosh Jafari-Khouzani 11, Aneela Afzal1, Alina Tudorica1, Brendan Moloney1, Cecilia Besa4, Jayashree Kalpathy-Cramer11, James M Mountz7, Charles M Laymon7, Kathleen Schmainda6, Yue Cao5, Thomas L Chenevert5, Bachir Taouli4, Thomas E Yankeelov9, Fiona Fennessy2, and Xin Li1

1Oregon Health & Science University, Portland, OR, United States, 2Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States, 3General Electric Global Research, Niskayuna, NY, United States, 4Icahn School of Medicine at Mount Sinai, New York, NY, United States, 5University of Michigan, Ann Arbor, MI, United States, 6Medical College of Wisconsin, Milwaukee, WI, United States, 7University of Pittsburgh, Pittsburg, PA, United States, 8University College Cork, Cork, Ireland, 9Vanderbilt University, Nashville, TN, United States, 10University of Washington, Seattle, WA, United States, 11Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States

Dynamic Contrast-Enhanced MRI (DCE-MRI) pharmacokinetic modeling is widely used to extract tissue specific quantitative parameters. However, the accuracy and precision of these parameters can be affected by many factors, with arterial input function (AIF) determination being a primary source of uncertainties. In this multicenter study, we sought to evaluate variations in DCE-MRI parameters estimated from shared prostate DCE-MRI data as a result of differences in AIFs.

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