影像组学联合生物标志物预测肝癌微血管侵犯的研究进展

Research Progress of Radiomics Combined with Biomarkers for Predicting Microvascular Invasion in Liver Cancer

  • 摘要: 微血管侵犯是影响肝癌患者预后的重要因素之一,术前对其发生情况进行准确预测对于临床个体化治疗决策的制订具有重要意义。传统诊断主要依赖术后组织病理学结果进行评估,存在一定滞后性,而影像组学特征与生物标志物联合应用为微血管侵犯的术前预测提供了新思路。基于影像组学和生物标志物的术前预测模型,可从宏观影像学特征与微观分子层面精准解析,并高效预测微血管侵犯的发生风险,为临床决策提供多维度、精准化的科学依据。

     

    Abstract: Microvascular invasion is one of the critical factors influencing the prognosis of patients with hepatocellular carcinoma. Accurate preoperative prediction for its occurrence holds pivotal significance for the formulation of clinical individualized treatment decisions. Traditional diagnosis primarily relies on the evaluation of postoperative histopathological results, which exhibits a certain degree of lag. However, the emergence of radiomics features and biomarkers offers new insights for the preoperative prediction of microvascular invasion. The preoperative prediction model based on radiomics and biomarkers is capable of precisely analyzing and efficiently predicting the occurrence risk of microvascular invasion from both macroscopic imaging features and microscopic molecular levels, thereby providing multi-dimensional and precise scientific evidence for clinical decision-making.

     

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