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Abstract #1100

A new image clustering method for assessing tumor heterogeneity induced by a drug treatment in DCE-MRI

Kazuyuki Makihara1, Kazuya Sakaguchi1, Masayuki Yamaguchi2, Ken Ito3, Yusaku Hori3, Taro Semba3, Yasuhiro Funabashi3, Hirofumi Fujii2, and Yasuhiko Terada1
1Faculty of Pure and Applied Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan, 2National Cancer Center, EPOC, Division of Functional Imaging, Kashiwa, Chiba, Japan, 3Eisai Co.,Ltd. Oncology Business Group, Bunkyo City, Tokyo, Japan

Dynamic contrast-enhanced (DCE) -MRI has been widely used to assess tumor responses to anticancer drugs. Ktrans, one of the pharmacokinetic parameters of DCE-MRI, reflects blood perfusion and permeability in tumor tissue and is a good indicator of perfusion assessment. However, conventional analyses of DCE-MRI do not reflect drug response well, since tumor is extremely heterogeneous. In this study, we have developed a new method for quantitatively assessing the heterogeneous response of tumors during anticancer treatment, and applied it to examine the drug response of E7130, a novel anti-cancer agent with spatiotemporal variation in human breast cancer xenograft model.

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