Advances in Habitat Imaging for Hepatocellular Carcinoma

肝细胞癌(HCC)具有高度异质性，传统影像评估难以揭示其生物学行为。生境成像(HI)通过整合多模态影像参数及聚类算法，将肿瘤分割为功能与分子特征各异的亚区，无创表征瘤内异质性与肿瘤微环境。HI在术前预测微血管侵犯、术后复发风险及治疗反应中展现重要价值。本文将系统回顾并分析基于生境技术在HCC诊疗评估中的临床应用现状及未来研究方向。Hepatocellular carcinoma (HCC) is highly heterogeneous, making it difficult to reveal its biological behavior with conventional imaging assessment. Habitat imaging (HI) is a non-invasive method to characterize intratumor heterogeneity and tumor microenvironment by integrating multimodal imaging parameters and clustering algorithms to segment tumors into subregions with different functional and molecular characteristics, and it has shown great value in predicting microvascular invasion before surgery, recurrence risk after surgery, and treatment response. In this paper, we will systematically review the current status and future research direction of the clinical application of Habitat-based technology in the diagnostic and therapeutic evaluation of HCC.