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中华肝脏外科手术学电子杂志

中华肝脏外科手术学电子杂志 ›› 2026, Vol. 15 ›› Issue (02) : 172 -180. doi: 10.3877/cma.j.issn.2095-3232.2026.02.006

前沿与争鸣

影像组学在肝癌精准诊断、疗效评估及治疗方案决策优化中应用
邓玉飞1,2,3, 王志鑫1,†(), 娄珂1,2,3, 张林轩1,2,3, 马桂春2,3, 港措1,2,3   
  1. 1　810000　西宁，青海大学附属医院普通外科
    2　810000　西宁，青海大学临床医学院
    3　810000　西宁，青海大学
  • 收稿日期:2025-09-05 出版日期:2026-04-10
  • 通信作者: 王志鑫
  • 基金资助:
    国家自然科学基金(82160466)

Application of radiomics in precise diagnosis, efficacy evaluation, and treatment plan optimization of liver cancer

Yufei Deng1,2,3, Zhixin Wang1,†(), Ke Lou1,2,3, Linxuan Zhang1,2,3, Guichun Ma2,3, Cuo Gang1,2,3   

  1. 1 Department of General Surgery, Qinghai University Affiliated Hospital, Xining 810000, China
    2 Clinical Medical College of Qinghai University, Xining 810000, China
    3 Qinghai University, Xining 810000, China
  • Received:2025-09-05 Published:2026-04-10
  • Corresponding author: Zhixin Wang
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引用本文：

邓玉飞, 王志鑫, 娄珂, 张林轩, 马桂春, 港措. 影像组学在肝癌精准诊断、疗效评估及治疗方案决策优化中应用[J/OL]. 中华肝脏外科手术学电子杂志, 2026, 15(02): 172-180.

Yufei Deng, Zhixin Wang, Ke Lou, Linxuan Zhang, Guichun Ma, Cuo Gang. Application of radiomics in precise diagnosis, efficacy evaluation, and treatment plan optimization of liver cancer[J/OL]. Chinese Journal of Hepatic Surgery(Electronic Edition), 2026, 15(02): 172-180.

原发性肝癌（肝癌）是最常见的恶性肿瘤之一，其发病率和死亡率一直居于前列。影像组学是通过从医学影像中高通量提取特征并结合临床数据进行分析，用于疾病诊断、预后预测和治疗决策等方面的交叉学科。本文系统综述影像组学在肝癌诊断和综合治疗中的最新进展，包括早期精准诊断、预测微血管侵犯（MVI）及转移复发，推动治疗个体化并优化多学科诊疗（MDT）决策，与分子生物学及人工智能（AI）技术的融合发展，并讨论目前影像组学面临的挑战及发展前景。

关键词: 影像组学, 原发性肝癌, 预后评估, 人工智能, 精准诊疗

Primary liver cancer (PLC) is one of the most common malignant tumors, with high morbidity and mortality rates among all cancers. Radiomics is an interdisciplinary subject that performs high-throughput feature extraction from medical images combined with clinical data, which can be applied in diagnosis, prognostic prediction and treatment decision-making. In this article, the latest progress in radiomics in diagnosis and comprehensive treatment of PLC was systematically reviewed, such as early and accurate diagnosis,predicting microvessel invasion (MVI) and metastasis and recurrence, promoting individualized treatment and optimizing multidisciplinary team (MDT) diagnosis and treatment decision-making and integrating with molecular biology and artificial intelligence (AI) technologies. The challenges and development prospects of radiomics were also discussed.

Key words: Radiomics, Primary liver cancer, Prognostic assessment, Artificial intelligence, Precision diagnosis and treatment
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