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Abstract #0281

Time-Varying Diffusion Patterns in Breast Cancer Linked to Prognostic Factors

Mami Iima1, Masako Kataoka1, Maya Honda1, Ayami Kishimoto Ohno1, Rie Ota1, Akane Ohashi1, Yuta Urushibata2, Thorsten Feiweier3, Masakazu Toi4, and Kaori Togashi1

1Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 2Siemens Healthcare K.K., Tokyo, Japan, 3Siemens Healthcare GmbH, Erlangen, Germany, 4Breast Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan

We investigated the utility of diffusion time-dependence of ADC measurements for the differentiation of prognostic biomarkers in human breast tumors using OGSE and PGSE sequences. Malignant tumors had significantly lower ADC values with longer diffusion times. ADC change significantly correlated with Ki-67 expression. Significant association was found between ADC value (at the effective diffusion time of 5.1ms) and PgR expression. These associations indicate the potential of the diffusion-time-dependent ADC values as a tool to differentiate these prognostic biomarkers and highlight tumor heterogeneity without the need of contrast agents.

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