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Research progress on radiomics and artificial intelligence for preoperative prediction of microvascular invasion in hepatocellular carcinoma
LUO Xi  LIAO Fushun  HUANG Xiaoya  WEN Canping  PENG Shouyong  WU Zichen  YAO Hongyan  WANG Jun 

Cite this article as: LUO X, LIAO F S, HUANG X Y, et al. Research progress on radiomics and artificial intelligence for preoperative prediction of microvascular invasion in hepatocellular carcinoma[J]. Chin J Magn Reson Imaging, 2025, 16(3): 205-210. DOI:10.12015/issn.1674-8034.2025.03.035.


[Abstract] Hepatocellular carcinoma (HCC) is one of the most common malignant tumors of the digestive system, characterized by a high mortality rate and poor prognosis. Microvascular invasion (MVI) typically refers to the observation of cancer cell clusters invading the lumen of blood vessels lined by endothelial cells under a microscope. MVI is a significant prognostic factor for HCC patients; therefore, it is crucial to predict MVI preoperatively in a non-invasive and efficient manner, as it holds important clinical value. With the rapid development of artificial intelligence technology, the integration of artificial intelligence with clinical and traditional imaging to construct comprehensive MVI prediction models can allow for precise risk assessment in HCC patients and assist physicians in formulating individualized treatment plans. This article primarily reviews the research progress on radiomics and artificial intelligence in the preoperative prediction of MVI in HCC from four aspects: computed tomography (CT), magnetic resonance imaging (MRI), ultrasound (US), and positron emission tomography (PET). The aim is to raise the reader's awareness and understanding of HCC, particularly early-stage HCC, and to provide valuable guidance for radiologists and clinicians in accurately assessing, making treatment decisions, and prognostic evaluations for HCC patients. Furthermore, it seeks to offer researchers a more comprehensive comparative perspective to help more patients benefit from clinical diagnosis and treatment.
[Keywords] hepatocellular carcinoma；microvascular invasion；radiomics；artificial intelligence；computed tomography；magnetic resonance imaging；ultrasound；positron emission tomography

LUO Xi1, 2   LIAO Fushun1, 3   HUANG Xiaoya1, 2   WEN Canping1, 2   PENG Shouyong1, 2   WU Zichen1   YAO Hongyan1   WANG Jun1, 2*  

1 The First Clinical Medical School of Gannan Medical University, Ganzhou 341000, China

2 Department of Medical Imaging, The First Affiliated Hospital of Gannan Medical University, Ganzhou 341000, China

3 Department of Ultrasound, The First Affiliated Hospital of Gannan Medical University, Ganzhou 341000, China

Corresponding author: WANG J, E-mail: Wangguoshou911@126.com

Conflicts of interest   None.

Received  2025-01-10
Accepted  2025-03-07
DOI: 10.12015/issn.1674-8034.2025.03.035
Cite this article as: LUO X, LIAO F S, HUANG X Y, et al. Research progress on radiomics and artificial intelligence for preoperative prediction of microvascular invasion in hepatocellular carcinoma[J]. Chin J Magn Reson Imaging, 2025, 16(3): 205-210. DOI:10.12015/issn.1674-8034.2025.03.035.

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