Gd-EOB-DTPA-enhanced MRI deep learning radiomics for predicting the pathological differentiation degree in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is one of the most common malignant tumors worldwide [1]. Due to its insidious early symptoms, most patients are found in the middle to late stages with poor prognosis, which determines the duration of survival. Studies have shown that HCC imaging correlates with the degree of pathological differentiation, and the lower the degree of HCC differentiation, the more significant the heterogeneity of the tumor cells and the higher the degree of malignancy [2]. Therefore…

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