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. K^trans, 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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