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Abstract #4395

Texture analysis of multi-phase magnetic resonance images to discriminate expression of Ki67 in hepatocellular carcinoma

Yueming Li1 and Chuan Yan1

1Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, China

Aims: This study aimed to determine whether texture analysis of preoperative magnetic resonance images could predict expression of Ki67 in hepatocellular carcinoma(HCC).

Methods: 83 patients confirmed HCC were included. Texture analysis on 3.0 Tesla MR Unit included histogram, co-occurrence matrix, run-length matrix, gradient, auto-regressive model, and wavelet transform features as calculated by MaZda software.

Results: HCC with higher Ki67 label index tend to display a lower differentiation pattern. Larger tumors usually had higher Ki67 label index. Texture parameters generated from arterial phase imaging was the most frequently significant correlation.

Conclusions: Texture analysis could be used to discriminate Ki67proliferation status in HCC.

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