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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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