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Abstract #0382

Use of a high temporal resolution population-averaged arterial input function to improve DCE-MRI reproducibility in phase I clinical trial settings

Macdonald A, Cheung S, Roberts C, Parker G, Jayson G, Davies K, Buckley D, Jackson A, Buonaccorsi G, Watson Y
University of Manchester

T1-weighted 3D time series data were acquired in the abdomen of cancer patients during a phase I clinical drug trial to allow dynamic contrast-enhanced MRI (DCE-MRI) analysis of tumour microvasculature. The arterial input function (AIF) was measured in each patient at two pre-dose visits following a standardised bolus administration of gadodiamide. Tracer kinetic modeling output using measured AIFs was compared with the results of modeling using a high temporal resolution population AIF. Large improvements in the reproducibility of DCE-MRI model parameters are demonstrated when using the population AIF indicating the potential for increased sensitivity to therapy-induced change.