Abstract #4099
Histogram Analysis of Diffusion Metrics in Evaluation of Brain Tumors: Clinical Applications
Akira Nishikori 1,2 , Masaaki Hori 1,3 , Fumitaka Kumagai 1,2 , Yoshitaka Masutani 4 , Ryuji Nojiri 3 , Katsutoshi Murata 5 , Kohei Kamiya 1,4 , Koji Kamagata 1 , Mariko Yoshida 1 , Michimasa Suzuki 1 , and Shigeki Aoki 1
1
Radiology, Juntendo University School of
Medicine, Tokyo, Japan,
2
Graduate
School of Human Health Sciences, Tokyo, Japan,
3
Tokyo
Medical Clinic, Tokyo, Japan,
4
The
University of Tokyo, Tokyo, Japan,
5
Siemens
Japan K.K., Tokyo, Japan
The purpose of this exhibit is to explain methods of
histogram analyses of diffusion metrics and to
demonstrate clinical usefulness of the analysis in
evaluation of brain tumors. Histogram analyses of
diffusion metrics showed promise for classification of
the grades and subtypes of brain tumors, demonstration
of intratumoral microstructures and determination of
peritumoral invasion In case it is difficult for
radiologists to reach comprehensive diagnosis with
conventional imaging technique, complementary
combination use of histogram analysis of diffusion
metrics will be helpful for more precise diagnosis of
brain tumors.
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