Curve shape analysis of dynamic glucose enhanced (DGE) and dynamic contrast enhanced (DCE) MRI in patients with brain tumor
Anina Seidemo1, Ronnie Wirestam1, Gunther Helms1, Karin Markenroth Bloch2, Xiang Xu3,4, Johan Bengzon5,6, Pia C. Sundgren2,7,8, Peter C.M. van Zijl3,9, and Linda Knutsson1,3,9
1Department of Medical Radiation Physics, Lund University, Lund, Sweden, 2Lund University Bioimaging Center, Lund University, Lund, Sweden, 3Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 5Lund Stem Cell Center, Department of Clinical Sciences, Lund University, Lund, Sweden, 6Division of Neurosurgery, Department of Clinical Sciences, Lund University and Skåne University Hospital, Lund, Sweden, 7Department of Medical Imaging and Physiology, Skåne University Hospital, Lund and Malmö, Sweden, 8Diagnostic Radiology, Department of Clinical Sciences, Lund University, Lund, Sweden, 9F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States
Dynamic glucose-enhanced (DGE) MRI provides time intensity curves after D-glucose injection and is promising as a less invasive alternative or complement to dynamic contrast-enhanced (DCE) MRI. Here, we calculated non-model-based parameter maps from DGE and DCE MRI of human brain tumors, and created color-coded “curve maps”, a graphic representation of different curve shapes, to further investigate temporospatial enhancement patterns. The results show that DGE MRI can differentiate tumor from healthy brain tissue, that DGE and DCE give similar but not identical information, and that the proposed curve map approach has potential to aid in visual assessment of dynamic images.
This abstract and the presentation materials are available to members only;
a login is required.