[1]
|
Sung, H., Ferlay, J., Siegel, R.L., et al. (2021) Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA: A Cancer Journal for Clinicians, 71, 209-249.
https://doi.org/10.3322/caac.21660
|
[2]
|
Chen, W., Zheng, R., Baade, P.D., et al. (2015) Cancer Statistics in China, 2015. CA: A Cancer Journal for Clinicians, 66, 115-132. https://doi.org/10.3322/caac.21338
|
[3]
|
黄辛. 复旦大学揭示全球不同地区肝癌发病模式[J]. 肿瘤防治研究, 2019, 46(5): 497.
|
[4]
|
赵荣荣, 邓永东, 袁宏. 236例原发性肝癌患者流行病学及临床特点分析[J]. 临床肝胆病杂志, 2016, 32(8): 1538-1542.
|
[5]
|
Cai, W.L. and Hong, G.B. (2018) Quantitative Image Analysis for Evaluation of Tumor Response in Clinical Oncology. Chronic Diseases and Translational Medicine, 4, 18-28. https://doi.org/10.1016/j.cdtm.2018.01.002
|
[6]
|
Lambin, P., Rios-Velazquez, E., Leijenaar, R., et al. (2012) Radiomics: Extracting More Information from Medical Images Using Advanced Feature Analysis. European Journal of Cancer, 48, 441-446.
https://doi.org/10.1016/j.ejca.2011.11.036
|
[7]
|
Avanzo, M., Stancanello, J. and El Naqa, I. (2017) Beyond Imaging: The Promise of Radiomics. European Journal of Medical Physics, 38, 122-139. https://doi.org/10.1016/j.ejmp.2017.05.071
|
[8]
|
Sherman, M. and Bruix, J. (2015) Biopsy for Liver Cancer: How to Balance Research Needs with Evidence-Based Clinical Practice. Hepatology, 61, 433-436. https://doi.org/10.1002/hep.27563
|
[9]
|
Huang, Y.L., Chen, J.H. and Shen, W.C. (2006) Diagnosis of Hepatic Tu-mors with Texture Analysis in Nonenhanced Computed Tomography Images. Academic Radiology, 13, 713-720. https://doi.org/10.1016/j.acra.2005.07.014
|
[10]
|
Wu, J.J., Liu, A.L., Cui, J.J., et al. (2019) Radiomics-Based Classi-fication of Hepatocellular Carcinoma and Hepatic Haemangioma on Precontrast Magnetic Resonance Images. BMC Med-ical Imaging, 19, Article No. 23.
https://doi.org/10.1186/s12880-019-0321-9
|
[11]
|
Yao, Z., Dong, Y., Wu, G., et al. (2018) Preoperative Diagnosis and Prediction of Hepatocellular Carcinoma: Radiomics Analysis Based on Multi-Modal Ultrasound Images. BMC Can-cer, 18, Article No. 1089.
https://doi.org/10.1186/s12885-018-5003-4
|
[12]
|
夏金菊, 王添艺, 蔡权宇, 等. MRI影像组学在混合型肝癌与肝内胆管细胞癌鉴别诊断中的应用[J]. 中国医学影像学杂志, 2023, 31(9): 945-949, 955.
|
[13]
|
Sasaki, A., Kai, S., Iwashita, Y., Hirano, S., Ohta, M. and Kitano, S. (2005) Microsatellite Distribution and Indication for Locoregional Therapy in Small Hepatocellular Carcinoma. Cancer, 103, 299-306.
https://doi.org/10.1002/cncr.20798
|
[14]
|
Ng, I.O., Lai, E.C., Fan, S.T., Ng, M.M. and So, M.K. (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
|
[15]
|
Wu, M., Tan, H., Gao, F., 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
|
[16]
|
Oh, J., Lee, J.M., Park, J., et al. (2019) Hepatocellular Carcinoma: Texture Analysis of Preoperative Computed Tomography Images Can Provide Markers of Tumor Grade and Disease-Free Survival. Korean Journal of Radiology, 20, 569-579. https://doi.org/10.3348/kjr.2018.0501
|
[17]
|
Peng, J., Kang, S., Ning, Z., et al. (2020) Residual Convolutional Neu-ral Network for Predicting Response of Transarterial Chemoembolization in Hepatocellular Carcinoma from CT Imaging. European Radiology, 30, 413-424.
https://doi.org/10.1007/s00330-019-06318-1
|
[18]
|
Mulé, S., Thiefin, G., Costentin, C., et al. (2018) Advanced Hepatocellular Carcinoma: Pretreatment Contrast-Enhanced CT Texture Parameters as Predictive Biomarkers of Survival in Patients Treated with Sorafenib. Radiology, 288, 445-455.
https://doi.org/10.1148/radiol.2018171320
|
[19]
|
Sun, R., Limkin, E.J., Vakalopoulou, M., et al. (2018) A Radi-omics Approach to Assess Tumour-Infiltrating CD8 Cells and Response to Anti-PD-1 or Anti-PD-L1 Immunotherapy: An Imaging Biomarker, Retrospective Multicohort Study. The Lancet Oncology, 19, 1180-1191. https://doi.org/10.1016/S1470-2045(18)30413-3
|
[20]
|
Lee, S., Kim, S.H., Lee, J.E., Sinn, D.H. and Park, C.K. (2017) Preoperative Gadoxetic Acid-Enhanced MRI for Predicting Microvascular Invasion in Patients with Single Hepa-tocellular Carcinoma. Journal of Hepatology, 67, 526-534.
https://doi.org/10.1016/j.jhep.2017.04.024
|
[21]
|
Li, Z., Lei, Z., Xia, Y., et al. (2018) Association of Preoperative Antiviral Treatment with Incidences of Microvascular Invasion and Early Tumor Recurrence in Hepatitis B Virus-Related Hepatocellular Carcinoma. JAMA Surgery, 153, e182721. https://doi.org/10.1001/jamasurg.2018.2721
|
[22]
|
Wang, H., Wu, M.C. and Cong, W.M. (2019) Microvascular Invasion Predicts a Poor Prognosis of Solitary Hepatocellular Car-cinoma up to 2cm Based on Propensity Score Matching Analysis. Hepatology Research, 49, 344-354.
https://doi.org/10.1111/hepr.13241
|
[23]
|
Zhou, Y., He, L., Huang, Y., et al. (2017) CT-Based Radiomics Signature: A Potential Biomarker for Preoperative Prediction of Early Recurrence in Hepatocellular Carcinoma. Abdominal Radiol-ogy, 42, 1695-1704.
https://doi.org/10.1007/s00261-017-1072-0
|
[24]
|
Taketomi, A., Fukuhara, T., Morita, K., et al. (2010) Improved Results of a Surgical Resection for the Recurrence of Hepatocellular Carcinoma after Living Donor Liver Transplantation. Annals of Surgical Oncology, 17, 2283-2289.
https://doi.org/10.1245/s10434-010-0999-y
|
[25]
|
Ivanics, T., Salinas-Miranda, E., Abreu, P., et al. (2021) A Pre-TACE Radiomics Model to Predict HCC Progression and Recurrence in Liver Transplantation: A Pilot Study on a Novel Biomarker. Transplantation, 105, 2435-2444.
https://doi.org/10.1097/TP.0000000000003605
|
[26]
|
Guo, D., Gu, D., Wang, 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
|
[27]
|
Segal, E., Sirlin, C.B., Ooi, C., et al. (2007) Decoding Global Gene Expression Programs in Liver Cancer by Noninvasive Imaging. Nature Biotechnology, 25, 675-680. https://doi.org/10.1038/nbt1306
|
[28]
|
Saini, A., Breen, I., Pershad, Y., et al. (2018) Radiogenomics and Radiomics in Liver Cancers. Diagnostics, 9, Article 4. https://doi.org/10.3390/diagnostics9010004
|
[29]
|
Hectors, S.J., Lewis, S., Besa, C., et al. (2020) MRI Radiomics Features Predict Immuno-Oncological Characteristics of Hepatocellular Carci-noma. European Radiology, 30, 3759-3769. https://doi.org/10.1007/s00330-020-06675-2
|
[30]
|
Gillies, R.J., Ki-nahan, P.E. and Hricak, H. (2016) Radiomics: Images Are More than Pictures, They Are Data. Radiology, 278, 563-577. https://doi.org/10.1148/radiol.2015151169
|