Hepatocellular carcinoma (HCC) is a common malignant tumor with a high mortality. The higher the pathological grade represents lower the differentiation degree of HCC. Patients with low differentiation have a higher postoperative recurrence rate and the worse prognosis. Texture analysis is a post-processing method that highlights the difference between the brightness of pixel features and the intensity of background signals by analyzing the distribution and spatial relationship of gray values, and quantify and evaluate the heterogeneity of tumors at the pixel level. This research suggested that R2* maps texture analysis held great potential in evaluating the pathological grade of HCC.
This abstract and the presentation materials are available to members only; a login is required.