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Abstract #0355

Can preoperative Diffusion-weighted MR predict the Microvascular invasion of hepatocellular carcinoma? A deep learning evaluation

Wu Zhou1, Hanqiu Ju1, Wanwei Jian1, Hui Huang1, Shaoyang Men1, and Honglai Zhang1

1School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou, China

Microvascular invasion (MVI) of hepatocellualr carcinoma(HCC) is regarded as the most important factor associated with the success of curative resection and the outcome after liver transplation. As the MVI prediction can only be ultimately determined by the histopathological features of the tumor cells, numerous works have attempted to predict the MVI of HCC based on noninvasively preoperative images. Diffusion-weighted MR has also shown to be effective for MVI prediction based on signal intensities of lesions and the apparent diffusion coefficient (ADC). In this work, the emerging deep learning technique is used for MVI prediction of HCC based on DWI.

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