影像组学赋能肝细胞癌智慧诊疗的初步探索进展

Preliminary explorations and advances in radiomics empowering the intelligent diagnosis and treatment of hepatocellular carcinoma

摘要:

肝细胞癌（HCC）是最常见的原发性肝癌，也是全球癌症相关死亡的第三大原因。尽管近年来诊疗技术不断进步，HCC的总体治疗效果仍待提升。随着人工智能的发展，影像组学通过从医学影像中提取肉眼无法识别的定量特征，构建预测模型，为HCC的诊断、治疗决策、疗效评估和预后预测提供新路径，助力精准诊疗。本文结合最新研究进展，系统探讨影像组学在HCC智慧诊疗中的应用，以期推动综合诊疗水平的提升。

Abstract:

Hepatocellular carcinoma (HCC) is the most common primary liver cancer and the third leading cause of cancer-related deaths worldwide. Despite continuous advancements in diagnostic and therapeutic technologies in recent years, the overall treatment outcomes for HCC remain to be improved. With the advancement of artificial intelligence, radiomics has emerged as an innovative approach by extracting quantitative features from medical images imperceptible to the naked eye, enabling predictive modeling for the diagnosis, treatment decision-making, therapeutic evaluation, and prognostic prediction of HCC. This article systematically reviews the application of radiomics in the intelligent management of HCC, based on the latest research progress, aiming to enhance comprehensive treatment strategies.