Abstract #1125

Texture analysis of hepatocellular carcinomas in Contrast-enhanced MR images for malignant differentiation

Wu Zhou¹, Kaixin Wang¹, Lijuan Zhang¹, Zaiyi Liu², Guangyi Wang², and Changhong Liang²

¹Key Laboratory for Health Informatics, Shenzhen Institutes of Advanced Technology, Shenzhen, China, People's Republic of, ²Department of Radiology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Shenzhen, China, People's Republic of

Lesion characterization based on imaging features is essential to the successful treatment of hepatocellular carcinomas (HCC). In this work, we investigate the malignant of HCC from Contrast-enhanced MR images based on the analysis of texture features. Our study demonstrated that the texture feature (average intensity value and grey level nonuniformity) of HCC in contrast-enhanced MR images was a good predictor to characterize the malignant of HCC. By quantitatively comparing the texture parameters in well differentiated and moderately differentiated HCCs, the values of average intensity remarkably decreased and GLN significantly increased according to the increasing degree of malignant for HCCs.

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