Research progress in preoperative prediction of microvascular invasion in liver cancer

doi:10.3877/cma.j.issn.2095-3232.2025004

Abstract

Abstract:

Microvascular invasion (MVI) of liver cancer is an independent risk factor for postoperative recurrence of liver cancer.Accurate preoperative prediction of the occurrence of MVI of liver cancerplays a significant role in guiding subsequent treatment and improve clinical prognosis.In recent years,radiomics have obtained significant progress in this field.In this article,research progress in preoperative prediction of MVI by clinical parameters, semantic features of traditional and emerging radiomics were reviewed, aiming to provide assistance for subsequent research.

Key words: Carcinoma, hepatocellular, Microvascular invasion, Recurrence, Radiomics, Deep learning, Algorithm

Zexin Yin, Jilin Yang, Youyao Li, Meilong Wu, Liping Liu. Research progress in preoperative prediction of microvascular invasion in liver cancer[J]. Chinese Journal of Hepatic Surgery(Electronic Edition), 2025, 14(01): 128-134.

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References 51

[1]	Banerjee S, Wang DS, Kim HJ, et al.A computed tomography radiogenomic biomarker predicts microvascular invasion and clinical outcomes in hepatocellular carcinoma[J].Hepatology, 2015,62(3):792-800.
[2]	Wang H, Wu MC, Cong WM.Microvascular invasion predicts a poor prognosis of solitary hepatocellular carcinoma up to 2 cm based on propensity score matching analysis[J].Hepatol Res, 2019, 49(3):344-354.
[3]	蒋亚波, 郭卫星, 程树群.肝细胞癌伴门静脉癌栓发生机制的研究进展[J].中国细胞生物学学报, 2017, 39(2):244-249.
[4]	Zhou J, Zhang Z, Zhou H, et al.Preoperative circulating tumor cells to predict microvascular invasion and dynamical detection indicate the prognosis of hepatocellular carcinoma[J].BMC Cancer, 2020,20(1):1047.
[5]	Wang H, Qian YW, Wu MC, et al.Liver resection is justified in patients with BCLC intermediate stage hepatocellular carcinoma without microvascular invasion[J].J Gastrointest Surg, 2020,24(12):2737-2747.
[6]	Wei X, Li N, Li S, et al.Hepatitis B virus infection and active replication promote the formation of vascular invasion in hepatocellular carcinoma[J].BMC Cancer, 2017, 17(1):304.
[7]	Deng G, Yao L, Zeng F, et al.Nomogram for preoperative prediction of microvascular invasion risk in hepatocellular carcinoma[J].Cancer Manag Res, 2019, 11:9037-9045.
[8]	Zhang C, Zhao R, Chen F, et al.Preoperative prediction of microvascular invasion in non-metastatic hepatocellular carcinoma based on nomogram analysis[J].Transl Oncol, 2021, 14(1):100875.
[9]	Qu C, Huang X, Liu K, et al.Effect of hepatitis B virus DNA replication level and anti-HBV therapy on microvascular invasion of hepatocellular carcinoma[J].Infect Agent Cancer, 2019, 14:2.
[10]	Siegel AB, Wang S, Jacobson JS, et al.Obesity and microvascular invasion in hepatocellular carcinoma[J].Cancer Invest, 2010,28(10):1063-1069.
[11]	Ma XL, Zhu J, Wu J, et al.Significance of PIVKA-Ⅱlevels for predicting microvascular invasion and tumor cell proliferation in Chinese patients with hepatitis B virus-associated hepatocellular carcinoma[J].Oncol Lett, 2018, 15(6):8396-8404.
[12]	Qi LN, Ma L, Wu FX, et al.S100P as a novel biomarker of microvascular invasion and portal vein tumor thrombus in hepatocellular carcinoma[J].Hepatol Int, 2021, 15(1):114-126.
[13]	Cucchetti A, Piscaglia F, Grigioni AD, et al.Preoperative prediction of hepatocellular carcinoma tumour grade and micro-vascular invasion by means of artificial neural network: a pilot study[J].J Hepatol, 2010,52(6):880-888.
[14]	刘连凤, 赵盛发, 王夺, 等.超声对肝癌微血管侵犯及术后早期复发的预测价值[J].广东医学, 2018, 39(20):3042-3046.
[15]	He Y, Liu F, Mou S, et al.Prognostic analysis of hepatocellular carcinoma on the background of liver cirrhosis via contrast-enhanced ultrasound and pathology[J].Oncol Lett, 2018, 15(3):3746-3752.
[16]	Renzulli M, Brocchi S, Cucchetti A, et al.Can current preoperative imaging be used to detect microvascular invasion of hepatocellular carcinoma?[J].Radiology, 2016, 279(2):432-442.
[17]	Chou CT, Chen RC, Lin WC, et al.Prediction of microvascular invasion of hepatocellular carcinoma: preoperative CT and histopathologic correlation[J].AJR Am J Roentgenol, 2014, 203(3):W253-W259.
[18]	赵晖, 陈骏,严笑鹏, 等.肝细胞癌患者微血管侵犯的组织学风险分级与预后的关系[J].中华肝胆外科杂志, 2019, 25(6):401-405.
[19]	Wu D, Tan M, Zhou M, et al.Liver computed tomographic perfusion in the assessment of microvascular invasion in patients with small hepatocellular carcinoma[J].Invest Radiol, 2015, 50(4):188-194.
[20]	李文柱, 罗宁斌, 苏丹柯, 等.能谱CT预测肝细胞癌微血管侵犯的可行性研究[J].医学影像学杂志, 2016, 26(11):2012-2016.
[21]	Lim JH, Choi D, Park CK, et al.Encapsulated hepatocellular carcinoma: CT-pathologic correlations[J].Eur Radiol, 2006, 16(10):2326-2333.
[22]	Wu TH, Hatano E, Yamanaka K, et al.A non-smooth tumor margin on preoperative imaging predicts microvascular invasion of hepatocellular carcinoma[J].Surg Today, 2016, 46(11):1275-1281.
[23]	Hong SB, Choi SH, Kim SY, et al.MRI features for predicting microvascular invasion of hepatocellular carcinoma: asystematic review and meta-analysis[J].Liver Cancer, 2021, 10(2):94-106.
[24]	Kim MJ, Lee M, Choi JY, et al.Imaging features of small hepatocellular carcinomas with microvascular invasion on gadoxetic acid-enhanced MR imaging[J].Eur J Radiol, 2012, 81(10):2507-2512.
[25]	Huang M, Liao B, Xu P, et al.Prediction of microvascular invasion in hepatocellular carcinoma: preoperative Gd-EOB-DTPA-dynamic enhanced MRI and histopathological correlation[J].Contrast Media Mol Imaging, 2018, 2018:9674565.
[26]	Lei Z, Li J, Wu D, et al.Nomogram for preoperative estimation of microvascular invasion risk in hepatitis B virus-related hepatocellular carcinoma within the Milan criteria[J].JAMA Surg, 2016, 151(4):356-363.
[27]	Xu P, Zeng M, Liu K, et al.Microvascular invasion in small hepatocellular carcinoma: is it predictable with preoperative diffusionweighted imaging?[J].J Gastroenterol Hepatol, 2014, 29(2):330-336.
[28]	Surov A, Pech M, Omari J, et al.Diffusion-weighted imaging reflects tumor grading and microvascular invasion in hepatocellular carcinoma[J].Liver Cancer, 2021, 10(1):10-24.
[29]	Cao L, Chen J, Duan T, et al.correlation with microvascular invasion and histologic grade[J].Quant Imag Med Surg, 2019, 9(4):590-602.
[30]	Li H, Zhang J, Zheng Z, et al.Preoperative histogram analysis of intravoxel incoherent motion (IVIM) for predicting microvascular invasion in patients with single hepatocellular carcinoma[J].Eur J Radiol, 2018, 105:65-71.
[31]	Hyun SH, Eo JS, Song BI, et al.Preoperative prediction of microvascular invasion of hepatocellular carcinoma using 18F-FDG PET/CT: a multicenter retrospective cohort study[J].Eur J Nucl Med Mol Imaging, 2018, 45(5):720-726.
[32]	Wei Y, Huang Z, Tang H, et al.IVIM improves preoperative assessment of microvascular invasion in HCC[J].Eur Radiol, 2019, 29(10):5403-5414.
[33]	Guiot J, Vaidyanathan A, Deprez L, et al.A review in radiomics:making personalized medicine a reality via routine imaging[J].Med Res Rev, 2022, 42(1):426-440.
[34]	Jiang YQ, Cao SE, Cao S, et al.Preoperative identification of microvascular invasion in hepatocellular carcinoma by XGBoost and deep learning[J].J Cancer Res Clin Oncol, 2021, 147(3):821-833.
[35]	Zhang J, Huang S, Xu Y, et al.Diagnostic accuracy of artificial intelligence based on imaging data for preoperative prediction of microvascular invasion in hepatocellular carcinoma: asystematic review and meta-analysis[J].Front Oncol, 2022, 12:763842.
[36]	Liu SC, Lai J, Huang JY, et al.Predicting microvascular invasion in hepatocellular carcinoma: a deep learning model validated across hospitals[J].Cancer Imaging, 2021, 21(1):56.
[37]	Xu X, Zhang HL, Liu QP, et al.Radiomic analysis of contrastenhanced CT predicts microvascular invasion and outcome in hepatocellular carcinoma[J].J Hepatol, 2019, 70(6):1133-1144.
[38]	Nebbia G, Zhang Q, Arefan D, et al.Pre-operative microvascular invasion prediction using multi-parametric liver MRI radiomics[J].J Digit Imaging, 2020, 33(6):1376-1386.
[39]	Zhong X, Long H, Su L, et al.Radiomics models for preoperative prediction of microvascular invasion in hepatocellular carcinoma: a systematic review and meta-analysis[J].Abdom Radiol, 2022, 47(6):2071-2088.
[40]	Chong HH, Yang L, Sheng RF, et al.Multi-scale and multiparametric radiomics of gadoxetate disodium-enhanced MRI predicts microvascular invasion and outcome in patients with solitary hepatocellular carcinoma≤5 cm[J].EurRadiol, 2021, 31(7):4824-4838.
[41]	Ni M, Zhou X, Lv Q, et al.Radiomics models for diagnosing microvascular invasion in hepatocellular carcinoma: which model is the best model?[J].Cancer Imaging, 2019, 19(1):60.
[42]	Meng XP, Wang YC, Zhou JY, et al.Comparison of MRI and CT for the prediction of microvascular invasion in solitary hepatocellular carcinoma based on a non-radiomics and radiomicsmethod: which imaging modality is better?[J].J Magn Reson Imaging, 2021, 54(2):526-536.
[43]	Li Y, Zhang Y, Fang Q, et al.Radiomics analysis of[18F]FDG PET/CT for microvascular invasion and prognosis prediction in very-early- and early-stage hepatocellular carcinoma[J].Eur J Nucl Med Mol Imaging,2021, 48(8):2599-2614.
[44]	Ma X, Wei J, Gu D, et al.Preoperative radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT[J].Eur Radiol, 2019, 29(7):3595-3605.
[45]	Meng XP, Tang TY, Ding ZM, et al.Preoperative microvascular invasion prediction to assist in surgical plan for single hepatocellular carcinoma: better together with radiomics[J].Ann Surg Oncol, 2022,29(5):2960-2970.
[46]	Huang J, Tian W, Zhang L, et al.Preoperative prediction power of imaging methods for microvascular invasion in hepatocellular carcinoma: asystemic review and meta-analysis[J].Front Oncol, 2020,10:887.
[47]	Xu T, Ren L, Liao M, et al.Preoperative radiomicsanalysis of contrastenhanced CT for microvascular invasion and prognosis stratification in hepatocellular carcinoma[J].J Hepatocell Carcinoma, 2022, 9:189-201.
[48]	Zheng J, Chakraborty J, Chapman WC, et al.Preoperative prediction of microvascular invasion in hepatocellular carcinoma using quantitative image analysis[J].J Am Coll Surg, 2017, 225(6):778-788,e1.
[49]	孙振, 谭天华, 郑洋洋, 李喆, 宋京海.基于术前纤维蛋白原与白蛋白比值构建肝癌微血管侵犯的预测模型[J/OL].中华肝脏外科手术学电子杂志, 2024, 13(1):27-32.
[50]	Schwier M, van Griethuysen J, VangelMG, et al.Repeatability of multiparametricprostate MRI radiomicsfeatures[J].Sci Rep, 2019,9(1):9441.
[51]	Shindoh J, Andreou A, AloiaTA, et al.Microvascular invasion does not predict long-term survival in hepatocellular carcinoma up to 2cm:reappraisal of the staging system for solitary tumors[J].Ann Surg Oncol, 2013, 20(4):1223-1229.

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