Abstract #0150

Non-invasive mapping of cerebral glucose transport and metabolism using glucoCESL MRI

Ben R Dickie^1,2, Tao Jin³, Rainer Hinz⁴, Geoff JM Parker^5,6, Laura M Parkes^1,2, and Julian Matthews^1,2

¹Division of Neuroscience and Experimental Psychology, Faculty of Biology Medicine and Health, The University of Manchester, Manchester, United Kingdom, ²Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Manchester, United Kingdom, ³Department of Radiology, University of Pittsburgh, Pittsburgh, PA, United States, ⁴Division of Informatics, Imaging, and Data Sciences, Faculty of Biology, Medicine, and Health, The University of Manchester, Manchester, United Kingdom, ⁵Centre for Medical Image Computing, Department of Computer Science and Department of Neuroinflammation, University College London, London, United Kingdom, ⁶Bioxydyn Ltd, Manchester, United Kingdom

Chemical-exchange spin-lock (CESL) MRI can detect uptake and clearance of intravenously administered glucose into the brain at high spatial resolution. We apply quantitative modelling to describe glucoCESL kinetics in tumour-bearing and healthy rats. Parameters relating to glucose transport (T_max, K_t, k_d), metabolism (MR_glu) and blood volume (v_b) were estimated and compared between tumour and cortical tissue. Kinetic modelling of glucoCESL MRI data yields meaningful estimates of glucose transport and metabolism, and our modelling approach holds great promise to probe glucose transport and metabolism at high spatial resolution.

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