[1]
|
Villanueva, A. (2019) Hepatocellular Carcinoma. New England Journal of Medicine, 380, 1450-1462.
https://doi.org/10.1056/NEJMra1713263
|
[2]
|
Bray, F., Ferlay, J., Soerjomataram, I., Siegel, R.L., Torre, L.A. and Jemal, A. (2018) Global Cancer Statistics 2018: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA: A Cancer Journal for Clinicians, 68, 394-424. https://doi.org/10.3322/caac.21492
|
[3]
|
Kumari, R., Sahu, M.K., Tripathy, A., Uthansingh, K. and Behera, M. Hepatocellular Carcinoma Treatment: Hurdles, Advances and Prospects. Hepatic Oncology, 5, Article No. HEP08. https://doi.org/10.2217/hep-2018-0002
|
[4]
|
周正平, 纪小龙. 肝细胞癌介入治疗后切除病肝标本4例病理学观察[J]. 临床与实验病理学杂志, 2012, 28(10): 1167-1169. https://doi.org/10.13315/j.cnki.cjcep.2012.10.037
|
[5]
|
Hricak, H. (2011) Oncologic Imaging: A Guiding Hand of Personalized Cancer Care. Radiology, 259, 633-640.
https://doi.org/10.1148/radiol.11110252
|
[6]
|
Sharma, B., Martin, A., Stanway, S., Johnston, S.R.D. and Constan-tinidou, A. (2012) Imaging in Oncology—Over a Century of Advances. Nature Reviews Clinical Oncology, 9, 728-737. https://doi.org/10.1038/nrclinonc.2012.195
|
[7]
|
侯震, 李双双, 闫婧, 万遂人. 影像组学在食管癌放疗中的应用研究进展[J]. 中华放射医学与防护杂志, 2018, 38(3): 236-240.
|
[8]
|
Lambin, P., Rios-Velazquez, E., Leijenaar, R., et al. (2012) Radiomics: Extracting More Information from Medical Images Using Advanced Feature Analysis. Europe-an Journal of Cancer, 48, 441-446.
https://doi.org/10.1016/j.ejca.2011.11.036
|
[9]
|
刘同刚. MiR-709下调GPC5表达促进肝癌细胞增殖、侵袭和转移的机制研究[D]: [博士学位论文]. 天津: 天津医科大学, 2017.
|
[10]
|
金玉梅, 王叶武, 张军, 程彦达, 冯敏, 宋彬. 影像组学在混合型肝癌与肝内胆管细胞癌鉴别诊断中的价值[J]. 中国CT和MRI杂志, 2021, 19(11): 118-122+126.
|
[11]
|
Liu, X., Khalvati, F., Namdar, K., et al. (2021) Can Machine Learning Radiomics Provide Pre-Operative Differentiation of Combined Hepatocellular Cholangiocarcinoma from Hepatocellular Carcinoma and Cholangiocarcinoma to Inform Optimal Treatment Planning? European Radiology, 31, 244-255. https://doi.org/10.1007/s00330-020-07119-7
|
[12]
|
王慧慧, 赵心明, 郭炜, 邢古生, 杨蕾, 朱正, 梁萌. 增强CT纹理特征在鉴别肝脏局灶性结节性增生与肝细胞肝癌中的应用价值[J]. 癌症进展, 2017, 15(5): 576-579+583.
|
[13]
|
Liang, W., Shao, J., Liu, W., et al. (2020) Differentiating Hepatic Epithelioid Angiomyolipoma from Hepatocellular Carcinoma and Focal Nodular Hyperplasia via Radiomics Models. Frontiers in Oncology, 10, Article ID: 564307.
https://doi.org/10.3389/fonc.2020.564307
|
[14]
|
Miyata, R., Tanimoto, A., Wakabayashi, G., et al. (2006) Accuracy of Preoperative Prediction of Microinvasion of Portal Vein in Hepatocellular Carcinoma Using Superparamagnetic Iron Oxide-Enhanced Magnetic Resonance Imaging and Computed Tomography during Hepatic Angiography. Journal of Gastroenterology, 41, 987-995.
https://doi.org/10.1007/s00535-006-1890-2
|
[15]
|
Bakr, S., Echegaray, S., Shah, R., et al. (2017) Noninvasive Ra-diomics Signature Based on Quantitative Analysis of Computed Tomography Images as a Surrogate for Microvascular Invasion in Hepatocellular Carcinoma: A Pilot Study. Journal of Medical Imaging, 4, Article ID: 041303. https://doi.org/10.1117/1.JMI.4.4.041303
|
[16]
|
Ma, X., Wei, J., Gu, D., et al. (2019) Preoperative Radiomics Nomogram for Microvascular Invasion Prediction in Hepatocellular Carcinoma Using Contrast-Enhanced CT. European Radiology, 29, 3595-3605.
https://doi.org/10.1007/s00330-018-5985-y
|
[17]
|
Yang, L., Gu, D., Wei, J., et al. (2019) A Radiomics Nomogram for Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma. Liver Cancer, 8, 373-386. https://doi.org/10.1159/000494099
|
[18]
|
Sasaki, A., Kai, S., Iwashita, Y., et al. (2005) Microsatellite Distribution and Indication for Locoregional Therapy in Small Hepatocellular Carcinoma. Cancer, 103, 299-306. https://doi.org/10.1002/cncr.20798
|
[19]
|
Ng, I.O.L., Lai, E.C.S., Fan, S.T., Ng, M.M.T. and So, M.K.P. (1995) Prognostic Significance of Pathologic Features of Hepatocellular Carcinoma a Multivariate Analysis of 278 Patients. Cancer, 76, 2443-2448.
https://doi.org/10.1002/1097-0142(19951215)76:12<2443::AID-CNCR2820761207>3.0.CO;2-F
|
[20]
|
Xu, X., Zhang, H.-L., Liu, Q.-P., et al. (2019) Radiomic Analysis of Contrast-Enhanced CT Predicts Microvascular Invasion and Outcome in Hepatocellular Carcinoma. Journal of Hepatology, 70, 1133-1144.
https://doi.org/10.1016/j.jhep.2019.02.023
|
[21]
|
Okusaka, T., Okada, S., Ueno, H., et al. (2002) Satellite Lesions in Patients with Small Hepatocellular Carcinoma with Reference to Clinicopathologic Features. Cancer, 95, 1931-1937. https://doi.org/10.1002/cncr.10892
|
[22]
|
宁培钢, 高飞, 海金金, 武明辉, 陈健, 朱绍成, 王梅云, 史大鹏. 基于增强CT放射组学预测肝细胞肝癌病理分级[J]. 中国医学影像技术, 2020, 36(7): 1051-1056. https://doi.org/10.13929/j.issn.1003-3289.2020.07.026
|
[23]
|
Bruix, J. and Sherman, M. (2005) Management of Hepatocellular Carcinoma. Hepatology, 42, 1208-1236.
https://doi.org/10.1002/hep.20933
|
[24]
|
Wu, M.H., Tan, H.N., Gao, F., Hai, J.J., et al. (2019) Predicting the Grade of Hepatocellular Carcinoma Based on Non-Contrast-Enhanced MRI Radiomics Signature. European Radiology, 29, 2802-2811.
https://doi.org/10.1007/s00330-018-5787-2
|
[25]
|
Filmus, J., Capurro, M. and Rast, J. (2008) Glypicans. Genome Biology, 9, Article No. 224.
https://doi.org/10.1186/gb-2008-9-5-224
|
[26]
|
Fu, S.-J., Qi, C.-Y., Xiao, W.-K., Li, S.-Q., Peng, B.-G. and Liang, L.-J. (2013) Glypican-3 Is a Potential Prognostic Biomarker for Hepatocellular Carcinoma after Curative Resection. Sur-gery, 154, 536-544.
https://doi.org/10.1016/j.surg.2013.02.014
|
[27]
|
Yasuda, E., Kumada, T., Toyoda, H., et al. (2010) Evaluation for Clinical Utility of GPC3, Measured by a Commercially Available ELISA Kit with Glypican-3 (GPC3) Antibody, as a Serological and Histological Marker for Hepatocellular Carcinoma. Hepatology Research, 40, 477-485. https://doi.org/10.1111/j.1872-034X.2010.00624.x
|
[28]
|
殷燮灵, 陈钟. 复发性肝癌重复肝切除术与射频消融治疗现状[J]. 南通大学学报(医学版), 2019, 39(2): 104-108.
https://doi.org/10.16424/j.cnki.cn32-1807/r.2019.02.007
|
[29]
|
王勇, 任翱, 唐元贵. 脾脏体积对肝癌术后预后的意义[J]. 肝脏, 2018, 23(8): 733-735.
https://doi.org/10.14000/j.cnki.issn.1008-1704.2018.08.028
|
[30]
|
Chan, A.W.H., Zhong, J., Berhane, S., et al. (2018) Development of Pre and Post-Operative Models to Predict Early Recurrence of Hepatocellular Carcinoma after Surgical Resection. Journal of Hepatology, 69, 1284-1293.
https://doi.org/10.1016/j.jhep.2018.08.027
|
[31]
|
Ji, G.-W., Zhu, F.-P., Xu, Q., et al. (2019) Machine-Learning Analysis of Contrast-Enhanced CT Radiomics Predicts Recurrence of Hepatocellular Carcinoma after Resection: A Mul-ti-Institutional Study. EBioMedicine, 50, 156-165.
https://doi.org/10.1016/j.ebiom.2019.10.057
|
[32]
|
Guo, D.H., Gu, D.S., Wang, H.H., et al. (2019) Radiomics Analysis Enables Recurrence Prediction for Hepatocellular Carcinoma after Liver Transplantation. European Journal of Radiology, 117, 33-40.
https://doi.org/10.1016/j.ejrad.2019.05.010
|
[33]
|
Zhang, Z., Jiang, H.Y., Chen, J., et al. (2019) Hepatocellular Car-cinoma: Radiomics Nomogram on Gadoxetic Acid-Enhanced MR Imaging for Early Postoperative Recurrence Prediction. Cancer Imaging, 19, Article No. 22.
https://doi.org/10.1186/s40644-019-0209-5
|
[34]
|
Yuan, C.W., Wang, Z.C., Gu, D. S., et al. (2019) Prediction Early Recurrence of Hepatocellular Carcinoma Eligible for Curative Ablation Using a Radiomics Nomogram. Cancer Imaging, 19, Article No. 21.
https://doi.org/10.1186/s40644-019-0207-7
|
[35]
|
Hamm, C.A., Wang, C.J., Savic, L.J., Ferrante, M., Schobert, I., Schlachter, T., et al. (2019) Deep Learning for Liver Tumor Diagnosis Part I: Development of a Convolutional Neural Network Classifier for Multi-Phasic MRI. European Radiology, 29, 3338-3347. https://doi.org/10.1007/s00330-019-06205-9
|
[36]
|
Shan, Q.-Y., Hu, H.-T., Feng, S.-T., et al. (2019) CT-Based Peritumoral Radiomics Signatures to Predict Early Recurrence in Hepatocellular Carcinoma after Curative Tumor Resec-tion or Ablation. Cancer Imaging, 19, Article No. 11.
https://doi.org/10.1186/s40644-019-0197-5
|
[37]
|
魏炜, 刘振宇, 王硕, 田捷. 影像组学技术研究进展及其在结直肠癌中的临床应用[J]. 中国生物医学工程学报, 2018, 37(5): 513-520.
|