Abstract #2245

Value of texture analysis based on R2* map for predicting early recurrence of HCC after hepatectomy

Qihao Xu¹, Ailian Liu^1,2, Ying Zhao¹, Yue Wang¹, Tao Lin¹, Xue Ren¹, Qingwei Song¹, Yan Guo³, Xin Li³, and Tingfan Wu³

¹Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China, ²Engineering Research Center for Artificial Intelligence in Medical Imaging, Dalian, China, ³GE Healthcare, Shanghai, China

Synopsis

Keywords: Liver, CancerHepatectomy is an important therapeutic method for hepatocellular carcinoma (HCC). The overall survival rate of patients with early recurrence is often lower than that of patients without early recurrence. Therefore, this worked aimed at investigating the value of texture analysis based on R2* map for predicting early recurrence of HCC after hepatectomy. Eleven optimal texture features were obtained to predict early recurrence of HCC. This research suggested that R2* map texture analysis had certain predictive value for early recurrence of HCC after hepatectomy, which was valuable for noninvasively, preoperatively and accurately predicting the prognostic factors during clinical practice.

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