肝细胞癌微血管侵犯相关预测模型的研究进展

摘要/Abstract

摘要：

肝细胞癌（HCC）是常见的消化系统恶性肿瘤之一，威胁着人类生命健康。微血管侵犯（MVI）是反映HCC患者预后的重要指标，术前MVI预测并提供个体化治疗方案，对改善HCC患者远期疗效具有重要意义。众多研究基于临床特征、影像学特征、影像组学、蛋白组学和基因组学等构建了logistic回归评分模型、列线图模型、影像组学模型以及深度学习模型等多种HCC患者MVI预测模型。随着研究的不断深入，HCC患者MVI预测的准确性不断提升，也能更好地指导HCC治疗。

关键词:癌，肝细胞,微血管侵犯,预测模型,影像组学,深度学习

Abstract:

Hepatocellular carcinoma （HCC） is one of the common malignant tumors of the digestive system， threatening human life and health. Microvascular invasion （MVI） is an important indicator reflecting the prognosis of HCC patients. The individualized treatment plan predicted and provided by MVI before surgery is of great significance to improve the long-term efficacy of HCC patients. Many studies have built various prediction models for MVI in HCC patients， such as logistic regression scoring models， nomogram models， radiomics models， and deep learning models based on clinical features， imaging features， radiomics， proteomics， and genomics. With the deepening of research， the accuracy of MVI prediction in patients with HCC has been continuously improved， which can also better guide the treatment of HCC.

Key words:Carcinoma， hepatocellular,Microvascular invasion,Prediction models,Radiomics,Deep learning

庄伟鸿, 朱文钿. 肝细胞癌微血管侵犯相关预测模型的研究进展[J]. 国际肿瘤学杂志, 2025, 52(5): 315-318.

Zhuang Weihong, Zhu Wentian. Research progress on prediction models related to microvascular invasion in hepatocellular carcinoma[J]. Journal of International Oncology, 2025, 52(5): 315-318.

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