Abstract #2601
Diffusional Kurtosis Imaging indicating various tissue of glioblastoma; voxel-by-voxel study
Fumitaka Kumagai 1,2 , Akira Nishikori 1,2 , Masaaki Hori 2 , Yoshitaka Masutani 3 , Masaki Katsura 3 , Koji Kamagata 2 , Kohei Kamiya 2 , Michimasa Suzuki 2 , Issei Fukunaga 1,2 , Nozomi Hamasaki 2 , Syuji Sato 2 , Yuriko Suzuki 2 , Mariko Yoshida 2 , Hajime Arai 4 , Hisato Ishii 4 , Shigeki Aoki 2 , Atsushi Senoo 1 , and Akihide Kondo 4
1
Department of Radiological Sciences,
Graduate School of Human Health Sciences, Tokyo
Metropolitan University, Arakawa-ku, Tokyo, Japan,
2
Department
of Radiology, Juntendo University School of Medicine,
Bunkyo-ku, Tokyo, Japan,
3
Department
of Radiological Medicine, Graduate School Medicine,
University School of Medicine, Bunkyo-ku, Tokyo, Japan,
4
Department
of Neurosurgery, Juntendo University School of Medicine,
Bunkyo-ku, Tokyo, Japan
Diffusional kurtosis imaging (DKI) has been highlighted
as a new technique based on non-Gaussian water diffusion
analysis. Although recent studies have reported values
of diffusional MR imaging in glioma grading, underlining
microstructural changes corresponding to changes of
diffusion metrics are not fully elucidated. This study
investigated differences in DKI metrics among different
components within glioblastoma, by means of
voxel-by-voxel analysis. This study give us insight and
better understanding of changes in diffusion metrics of
different tissue components of glioblastoma.
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