The high recurrence rates after curative resection has become a major obstacle for the treatment of HCC. Radiomics has been proposed as a robust and effective imaging analysis method to quantify tumor phenotypic characteristics. In this prospective study, a radiomics model based on preoperative gadoxetic acid-enhanced magnetic resonance (MR) images for preoperative prediction of early recurrence in HCCs was generated, with good discrimination and calibration, and may act as an accurate tool to preoperatively identify high-risk patients and guide clinical decision-making of this population.
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