Abstract #0729

A new kinetic model for characterization of glucose delivery, transport and metabolism for MRS and dynamic glucose enhanced (DGE) MRI of the brain

Anina Seidemo^1,2, Linda Knutsson^1,3,4, Nirbhay N Yadav^3,5, Ronnie Wirestam¹, Pia C Sundgren^2,6,7, and Peter C M van Zijl^3,5

¹Department of Medical Radiation Physics, Lund University, Lund, Sweden, ²Diagnostic Radiology, Department of Clinical Sciences, Lund University, Lund, Sweden, ³F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, ⁴Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, ⁵Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, ⁶Lund University Bioimaging Center, Lund University, Lund, Sweden, ⁷Department of Medical Imaging and Physiology, Skåne University Hospital, Lund and Malmö, Sweden

Synopsis

Keywords: CEST / APT / NOE, CEST & MT, data analysis, kinetic modelling, metabolism, brain, cancer

Motivation: While PET, MR spectroscopy, and DGE CEST MRI can describe sugar uptake and utilization using a 2-tissue-compartment model, such a model is not appropriate for DGE CEST MRI of tumors, as the exchange properties of sugar hydroxyl protons may differ between tissue compartments.

Goal(s): To develop a 3-tissue-compartment model (blood, EES and cell) suitable for DGE MRI.

Approach: We modified the mass balance equations and simulated compartmental D-glucose concentrations from D-glucose levels of venous plasma.

Results: The 3-tissue-compartment model was able to reproduce MRS literature brain D-glucose dynamic uptake curves, as well as experimental DGE MRI signal in brain tumors at 7 T.

Impact: A 3-tissue-compartment model is necessary for correct quantification of DGE MRI in malignant brain tumors. Our proposed model is expected to improve modeling and assessment for all metabolic substrate uptake imaging methods in situations of BBB breakdown.

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