参考文献/References:
[1] 芮 龙,周 绵,董艳丽,等。晚期肝细胞癌系统治疗的进展与优化策略[J].肝脏,2025,30:759-763.
Rui L,Zhou M,Dong YL,et al.Advances and optimization strategies in systemic therapy for advanced hepatocellular carcinoma[J].Liver,2025,30:759-763.
[2]陈志文,王龙蓉,王 鲁。肝细胞癌靶向治疗的现状和进展[J].中国临床药理学与治疗学,2025,30:171-182.
Chen ZW,Wang LR,Wang L.Current status and progress of targeted therapy for hepatocellular carcinoma[J].Chinese Journal of Clinical Pharmacology and Therapeutics,2025,30:171-182.
[3]Alawyia B,Constantinou C.Hepatocellular carcinoma:a narrative review on current knowledge and future prospects[J].Curr Treat Options Oncol,2023,24:711-724.
[4]中国医师协会肝癌专业委员会.肝细胞癌伴微血管侵犯诊断和治疗中国专家共识(2024版)[J].中华消化外科杂志,2024,23:153-164.
Chinese College of Surgeons Committee on Liver Cancer.Chinese expert consensus on the diagnosis and treatment of hepatocellular carcinoma with microvascular invasion(2024 edition)[J].Chinese Journal of Digestive Surgery,2024,23:153-164.
[5]刘 洋,蒲 红.医学影像人工智能在预测肝细胞癌微血管侵犯中的研究[J].放射学实践,2024,39:830-834.
Liu Y,Pu H.Research on artificial intelligence in medical imaging for predicting microvascular invasion in hepatocellular carcinoma[J].Radiologic Practice,2024,39:830-834.
[6]董鸿鹏,王立学,张晨.放射影像学在肝细胞癌微血管侵犯术前预测的研究进展[J].北京医学,2024,46:743-746.
Dong HP,Wang LX,Zhang C.Research progress of radiologic imaging in preoperative prediction of microvascular invasion in hepatocellular carcinoma[J].Beijing Medical Journal,2024,46:743-746.
[7]梁弦弦,刘 丽,马 也,等。经皮穿刺活检诊断肝癌微血管侵犯的临床价值[J].介入放射学杂志,2022,31:185-188.
Liang XX,Liu L,Ma Y,et al.Clinical value of percutaneous puncture biopsy in diagnosing microvascular invasion of hepatocellular carcinoma[J].J Intervent Radiol,2022,31:185-188.
[8]Jiang Y,Wang K,Wang YR,et al.Preoperative and prognostic prediction of microvascular invasion in hepatocellular carcinoma:A review based on artificial intelligence[J].Technol Cancer Res Treat,2023,22:15330338231212726.
[9]Han X,Shan LF,Xu R,et al.Assessing MRI-based artificial intelligence models for preoperative prediction of microvascular invasion in hepatocellular carcinoma:a systematic review and meta-analysis[J].Acad Radiol,2025,32:6463-6477.
[10]Huang JC,Tian WW,Zhang LL,et al.Preoperative prediction power of imaging methods for microvascular invasion in hepatocellular carcinoma:a systemic review and meta-analysis[J].Front Oncol,2020,10:887.
[11]Li LJ,Wu CQ,Huang YQ,et al.Radiomics for the preoperative evaluation of microvascular invasion in hepatocellular carcinoma:A meta-analysis[J].Front Oncol,2022,12:831996.
[12]Zhang HD,Li XM,Zhang YH,et al.Evaluation of preoperative microvascular invasion in hepatocellular carcinoma through multidimensional parameter combination modeling based on Gd-EOB-DTPA MRI[J].J Clin Transl Hepatol,2023,11:350-359.
[13]Tian Y,Hua H,Peng Q,et al.Preoperative evaluation of Gd-EOB-DTPA-enhanced MRI radiomics-based nomogram in small solitary hepatocellular carcinoma(≤3 cm)with microvascular invasion:A two-center study[J].J Magn Reson Imaging,2022,56:1459-1472.
[14]Li YM,Zhu YM,Gao LM,et al.Radiomic analysis based on multi-phase magnetic resonance imaging to predict preoperatively microvascular invasion in hepatocellular carcinoma[J].World J Gastroenterol,2022,28:2733-2747.
[15]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 radiomics method:Which imaging modality is better?[J].J Magn Reson Imaging,2021,54:526-536.
[16]Nebbia G,Zhang Q,Arefan D,et al.Pre-operative microvascular invasion prediction using multi-parametric liver MRI radiomics[J].J Digit Imaging,2020,33:1376-1386.
[17]Song DJ,Wang YY,Wang WT,et al.Using deep learning to predict microvascular invasion in hepatocellular carcinoma based on dynamic contrast-enhanced MRI combined with clinical parameters[J].J Cancer Res Clin Oncol,2021,147:3757-3767.
[18]Liu BE,Zeng QY,Huang JB,et al.IVIM using convolutional neural networks predicts microvascular invasion in HCC[J].Eur Radiol,2022,32:7185-7195.
[19]Zhang XM,Ruan SJ,Xiao WB,et al.Contrast-enhanced CT radiomics for preoperative evaluation of microvascular invasion in hepatocellular carcinoma:A two-center study[J].Clin Transl Med,2020,10:e111.
[20]Jiang YQ,Cao SE,Cao SL,et al.Preoperative identification of microvascular invasion in hepatocellular carcinoma by XGBoost and deep learning[J].J Cancer Res Clin Oncol,2021,147:821-833.
[21]Zhang YX,Lv XF,Qiu JL,et al.Deep learning with 3D convolutional neural network for noninvasive prediction of microvascular invasion in hepatocellular carcinoma[J].J Magn Reson Imaging,2021,54:134-143.
[22]Zhou W,Jian WW,Cen XP,et al.Prediction of microvascular invasion of hepatocellular carcinoma based on contrast-enhanced MR and 3D convolutional neural networks[J].Front Oncol,2021,11:588010.
[23]Chu TJ,Zhao C,Zhang J,et al.Application of a convolutional neural network for multitask learning to simultaneously predict microvascular invasion and vessels that encapsulate tumor clusters in hepatocellular carcinoma[J].Ann Surg Oncol,2022,29:6774-6783.
[24]Sun BY,Gu PY,Guan RY,et al.Deep-learning-based analysis of preoperative MRI predicts microvascular invasion and outcome in hepatocellular carcinoma[J].World J Surg Oncol,2022,20:189.
[25]Li XM,Qi ZD,Du HY,et al.Deep convolutional neural network for preoperative prediction of microvascular invasion and clinical outcomes in patients with HCCs[J].Eur Radiol,2022,32:771-782.
[26]Hu F,Zhang YH,Li M,et al.Preoperative prediction of microvascular invasion risk grades in hepatocellular carcinoma based on tumor and peritumor dual-region radiomics signatures[J].Front Oncol,2022,12:853336.
[27]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,2022,29:2960-2970.
[28]Gilles H,Garbutt T,Landrum J.Hepatocellular carcinoma[J].Crit Care Nurs Clin North Am,2022,34:289-301.
[29]Lee S,Kang TW,Song KD,et al.Effect of microvascular invasion risk on early recurrence of hepatocellular carcinoma after surgery and radiofrequency ablation[J].Ann Surg,2021,273:564-571.
[30]Wang K,Xiang YJ,Yan JP,et al.A deep learning model with incorporation of microvascular invasion area as a factor in predicting prognosis of hepatocellular carcinoma after R0 hepatectomy[J].Hepatol Int,2022,16:1188-1198.
[31]Wang F,Chen QQ,Chen YN,et al.A novel multimodal deep learning model for preoperative prediction of microvascular invasion and outcome in hepatocellular carcinoma[J].Eur J Surg Oncol,2023,49:156-164.
[32]Wei JW,Jiang HY,Zeng MS,et al.Prediction of microvascular invasion in hepatocellular carcinoma via deep learning:a multi-center and prospective validation study[J].Cancers,2021,13:2368.
[33]Liu SC,Lai J,Huang JY,et al.Predicting microvascular invasion in hepatocellular carcinoma:a deep learning model validated across hospitals[J].Cancer Imaging,2021,21:56.
[34]Xiao H,Guo YC,Zhou Q,et al.Prediction of microvascular invasion in hepatocellular carcinoma with expert-inspiration and skeleton sharing deep learning[J].Liver Int,2022,42:1423-1431.
[35]Wang LY,Wu ML,Li R,et al.MVI-Mind:a novel deep-learning strategy using computed tomography(CT)-based radiomics for end-to-end high efficiency prediction of microvascular invasion in hepatocellular carcinoma[J].Cancers,2022,14:2956.
[36]Peng J,Zhang J,Zhang QF,et al.A radiomics nomogram for preoperative prediction of microvascular invasion risk in hepatitis B virus-related hepatocellular carcinoma[J].Diagn Interv Radiol,2018,24:121-127.
[37]Min JH,Lee MW,Park HS,et al.Interobserver variability and diagnostic performance of gadoxetic acid-enhanced MRI for predicting microvascular invasion in hepatocellular carcinoma[J].Radiology,2020,297:573-581.
[38]You HY,Wang JF,Ma RX,et al.Clinical interpretability of deep learning for predicting microvascular invasion in hepatocellular carcinoma by using attention mechanism[J].Bioengineering,2023,10:948.
[39]Lee S,Kim SH,Lee JE,et al.Preoperative gadoxetic acid-enhanced MRI for predicting microvascular invasion in patients with single hepatocellular carcinoma[J].J Hepatol,2017,67:526-534.
[40]Nitta H,Allard MA,Sebagh M,et al.Predictive model for microvascular invasion of hepatocellular carcinoma among candidates for either hepatic resection or liver transplantation[J].Surgery,2019,165:1168-1175.
[41]Wang Y,Zhu GQ,Yang R,et al.Deciphering intratumoral heterogeneity of hepatocellular carcinoma with microvascular invasion with radiogenomic analysis[J].J Transl Med,2023,21:734.
[42]Banerjee S,Wang DS,Kim HJ,et al.A computed tomography radiogenomic biomarker predicts microvascular invasion and clinical outcomes in hepatocellular carcinoma[J].Hepatology,2015,62:792-800.
[43]Renzulli M,Brocchi S,Cucchetti A,et al.Can current preoperative imaging be used to detect microvascular invasion of hepatocellular carcinoma?[J].Radiology,2016,279:432-442.
[44]Peng ZW,Chen SL,Xiao H,et al.Microvascular invasion as a predictor of response to treatment with sorafenib and transarterial chemoembolization for recurrent intermediate-stage hepatocellular carcinoma[J].Radiology,2019,292:237-247.
[45]Sumie S,Nakashima O,Okuda K,et al.The significance of classifying microvascular invasion in patients with hepatocellular carcinoma[J].Ann Surg Oncol,2014,21:1002-1009.
[46]Renne SL,Woo HY,Allegra S,et al.Vessels encapsulating tumor clusters(VETC)is a powerful predictor of aggressive hepatocellular carcinoma[J].Hepatology,2020,71:183-195.
(收稿日期:2026-01-26)
(本文编辑:谷 珂)
相似文献/References:
[1]郭丽萍,张晓玲,王莉娜.经导管肝动脉化疗栓塞联合高强度聚焦超声治疗原发性肝癌的护理[J].介入放射学杂志,2010,(04):328.
GUO Liping,ZHANG Xiaoling,WANG Lina.The nursing care for patients of hepatocellular carcinoma treated with transcatheter hepatic arterial chemoembolization and high intensive focus ultrasound[J].J Intervent Med,2010,(09):328.
[2]沈海洋,杨光,刘瑞宝,等.肝右叶前、后段原发性肝癌动脉化疗栓塞术后近期疗效比较[J].介入放射学杂志,2010,(05):382.
SHEN Haiyang,YANG Guang,LIU Ruibao,et al.Short-term effects of TACE for primary hepatocellular carcinoma of the right hepatic lobe:a comparison between the lesions in anterior segments and the lesions in posterior segments[J].J Intervent Med,2010,(09):382.
[3]池嘉昌,沈加林,许建荣,等.全肝CT灌注成像在原发性肝癌TACE术后局部病灶活性评估中的临床应用[J].介入放射学杂志,2010,(07):540.
CHI Jiachang,SHEN Jialin,XU Jianrong,et al.Clinical application of whole-liver perfusion-enhanced CT imaging in evaluating the activity of residual hepatocellular carcinoma after TACE[J].J Intervent Med,2010,(09):540.
[4]翁志成,杨维竹,江娜,等.CT引导下125I放射性粒子植入治疗肝癌门静脉癌栓的疗效评价[J].介入放射学杂志,2010,(07):535.
WENG Zhicheng,YANG Weizhu,JIANG Na,et al.Evaluation of CT-guided125I seed implantation combined with transcatheter arterial chemoem-bolization in treating portal vein tumor thrombus associated with hepatocellular carcinoma[J].J Intervent Med,2010,(09):535.
[5]王悍 王精兵 张贵祥 王麟川.肝细胞癌动脉化疗栓塞术后并发脑梗死一例[J].介入放射学杂志,2005,(04):442.
WANG Han WANG Jing-bing ZHANG Gui-xiang WANG Lin-chuan.Cerebral infarction aften transaterial shemoembolization for hepatocellular carcinoma a cage report[J].J Intervent Med,2005,(09):442.
[6]张绪敬,程佩芳,董光,等.原发性肝癌经导管化疗、栓塞前后血中凝血酶原变化的研究[J].介入放射学杂志,1992,(01):33.
[7]欧阳墉,马和平,张学军,等.肝细胞癌的鉴别诊断——附10例分析[J].介入放射学杂志,1996,(01):40.
[8]周斌,李征然,钱结胜,等.原发性肝癌肝移植后肿瘤复发的化疗栓塞治疗[J].介入放射学杂志,2009,(03):185.
ZHOU Bin,LI Zhengran,QIAN Jiesheng,et al.Chemoembolization for recurrent hepatocellular carcinoma after liver transplantation[J].J Intervent Med,2009,(09):185.
[9]黄渊全,贾中芝,冯耀良,等.CT灌注成像在肝癌TACE术后疗效评价中的应用价值[J].介入放射学杂志,2009,(06):437.
HUANG Yuan-quan,JIA Zhong-zhi,FENG Yao-liang,et al.Clinical application of CT perfusion imaging in estimating the efficacy of transcatheter arterial chemoembolization for the treatment of hepatocellular carcinoma[J].J Intervent Med,2009,(09):437.
[10]王惠文,刘瑞宝,刘 岩,等.原发性肝癌TACE后FAK、NFκBp65表达及意义[J].介入放射学杂志,2011,(08):621.
WANG Hui-wen,LIU Rui-bao,LIU Yan,et al.The expression and significance of FAK and NF-κBp65 in hepatocellular carcinoma after transcatheter arterial chemoembolization[J].J Intervent Med,2011,(09):621.