Abstract #4248

Differentiating Cytokeratin 19 Expression of HCC by Using Multi-b-value Diffusion-Weighted MR Imaging

Jiejun Chen¹, Yixian Guo¹, Shujie Zhang¹, Wei Sun¹, Yinglong Guo¹, Yunfei Zhang², Yongming Dai², Dongmei Wu³, and Xiuzhong Yao¹

¹Zhongshan Hospital affiliated to Fudan University, Shanghai, China, ²Central Research Institute, United Imaging Healthcare, Shanghai, China, ³Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronics Science, East China Normal University, Shanghai, China

Synopsis

Diffusion-weighted imaging (DWI) is a powerful functional MRI technique. However, scarcely has the DWI been used to identify the expression of Cytokeratin 19 (CK19) in hepatocellular carcinoma (HCC). In this study, we aim to differentiate CK19 positive and negative HCC with diffusion parameters derived from different DWI techniques. Our results showed that diffusion parameters can be used as noninvasive quantitative imaging markers for preoperatively predicting the CK19 expression of HCCs. More importantly, the integration of different diffusion parameters could better describe the characteristics of tumor tissues，thus reaching better diagnostic performance.

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