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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