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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


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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