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Abstract #2145

Association between pharmacokinetic parameters from DCE-MRI and metabolic parameters from dynamic 18F-fluoromethylcholine PET in human brain glioma

Marianna Inglese1,2, Matthew Grech-Sollars1,3, Katherine Ordidge 3, Vijaykumar Vaja 4, Lesley Honeyfield3, Sameer Khan3, Tara Barwick1,3, Eric Aboagye1, and Adam D Waldman4,5

1Department of Surgery and Cancer, Imperial College London, London, United Kingdom, 2Department of Computer, Control and Management Engineering Antonio Ruberti, La Sapienza University of Rome, Rome, Italy, 3Department of Imaging, Imperial College Healthcare NHS Trust, London, United Kingdom, 4Department of Medicine, Imperial College London, London, United Kingdom, 5Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom

Magnetic resonance imaging (MRI) is the standard imaging technique in the diagnosis of primary brain lesions. However, novel PET imaging techniques such as choline-PET are currently being investigated in the clinic to characterize tumour metabolism. In this study, we compared pharmacokinetic parameters resulting from the modelling of dynamic contrast enhanced (DCE) MRI data, using the Tofts model (TM) and shutter speed model (SSM), with metabolic macroparameters derived from the application of the spectral analysis (SA) to dynamic PET data. We observe a correlation between some pharmacokinetic parameters and the parameters obtained through spectral analysis of the dynamic choline-PET data.

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