Abstract #0129

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 Xu^3,4, Johan Bengzon^5,6, Pia C. Sundgren^2,7,8, Peter C.M. van Zijl^3,9, and Linda Knutsson^1,3,9

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

Synopsis

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.

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