Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin, 2021;71(3):209–49.
Wu TC, Shen YC, Cheng AL. Evolution of systemic treatment for advanced hepatocellular carcinoma. Kaohsiung J Med Sci, 2021;37(8):643–53.
Goel S, Duda DG, Xu L, Munn LL, Boucher Y, Fukumura D, Jain RK. Normalization of the vasculature for treatment of cancer and other diseases. Physiol Rev, 2011;91(3):1071–121.
Article PubMed CAS Google Scholar
Ranieri G, Patruno R, Ruggieri E, Montemurro S, Valerio P, Ribatti D. Vascular endothelial growth factor (VEGF) as a target of bevacizumab in cancer: From the biology to the clinic. Curr Med Chem, 2006;13(16):1845–57.
Article PubMed CAS Google Scholar
Finn RS, Qin S, Ikeda M, Galle PR, Ducreux M, Kim TY, Kudo M, Breder V, Merle P, Kaseb AO et al. Atezolizumab plus Bevacizumab in Unresectable Hepatocellular Carcinoma. N Engl J Med, 2020;382(20):1894–905.
Article PubMed CAS Google Scholar
Fan T, Li S, Li K, Xu J, Zhao S, Li J, Zhou X, Jiang H. A potential prognostic marker for recognizing VEGF-Positive hepatocellular carcinoma based on magnetic resonance radiomics signature. Front Oncol, 2022;12:857715.
Article PubMed PubMed Central CAS Google Scholar
Lambin P, Rios-Velazquez E, Leijenaar R, Carvalho S, van Stiphout RG, Granton P, Zegers CM, Gillies R, Boellard R, Dekker A et al. Radiomics: Extracting more information from medical images using advanced feature analysis. Eur J Cancer, 2012;48(4):441–6.
Article PubMed PubMed Central Google Scholar
Gong XQ, Tao YY, Wu YK, Liu N, Yu X, Wang R, Zheng J, Liu N, Huang XH, Li JD et al. Progress of MRI radiomics in hepatocellular carcinoma. Front Oncol, 2021;11:698373.
Article PubMed PubMed Central Google Scholar
Zheng J, Du PZ, Yang C, Tao YY, Li L, Li ZM, Yang L. DCE-MRI-based radiomics in predicting angiopoietin-2 expression in hepatocellular carcinoma. Abdom Radiol (NY), 2023;48(11):3343–52.
Tao YY, Shi Y, Gong XQ, Li L, Li ZM, Yang L, Zhang XM. Radiomic analysis based on magnetic resonance imaging for predicting PD-L2 expression in hepatocellular carcinoma. Cancers (Basel), 2023;15(2).
Gong XQ, Liu N, Tao YY, Li L, Li ZM, Yang L, Zhang XM. Radiomics models based on multisequence MRI for predicting PD-1/PD-L1 expression in hepatocellular carcinoma. Sci Rep, 2023;13(1):7710.
Article PubMed CAS Google Scholar
Yang C, Wei X, Zheng J, Tao Y, Gong X, Li L, Li Z, Yang L, Mao Q, Zhou M et al. A correlative study between IVIM-DWI parameters and VEGF and MMPs expression in hepatocellular carcinoma. Quant Imag Med Surg, 2022:0–0.
Shimizu M, Saitoh Y, Itoh H. Immunohistochemical staining of Ha-ras oncogene product in normal, benign, and malignant human pancreatic tissues. Hum Pathol 1990;21(6):607–12.
Article PubMed CAS Google Scholar
Kumar V, Gu Y, Basu S, Berglund A, Eschrich SA, Schabath MB, Forster K, Aerts HJ, Dekker A, Fenstermacher D et al. Radiomics: The process and the challenges. Magn Reson Imaging, 2012;30(9):1234–48.
Caballo M, Boone JM, Mann R, Sechopoulos I. An unsupervised automatic segmentation algorithm for breast tissue classification of dedicated breast computed tomography images. Med Phys, 2018;45(6):2542–59.
Haniff N, Abdul KM, Osman NH, Saripan MI, Che II, Ibahim MJ. Stability and reproducibility of radiomic features based various segmentation technique on MR images of hepatocellular carcinoma (HCC). Diagnostics (Basel), 2021;11(9).
Qiu Q, Duan J, Duan Z, Meng X, Ma C, Zhu J, Lu J, Liu T, Yin Y. Reproducibility and non-redundancy of radiomic features extracted from arterial phase CT scans in hepatocellular carcinoma patients: Impact of tumor segmentation variability. Quant Imaging Med Surg, 2019;9(3):453–64.
Muppala S. Growth Factor-Induced angiogenesis in hepatocellular carcinoma. Crit Rev Oncog, 2021;26(1):61–8.
Yadav L, Puri N, Rastogi V, Satpute P, Sharma V. Tumour angiogenesis and angiogenic inhibitors: A review. J Clin Diagn Res, 2015;9(6):E1-5.
Nicosia RF. What is the role of vascular endothelial growth factor-related molecules in tumor angiogenesis? Am J Pathol, 1998;153(1):11–6.
Article PubMed PubMed Central CAS Google Scholar
Morse MA, Sun W, Kim R, He AR, Abada PB, Mynderse M, Finn RS. The role of angiogenesis in hepatocellular carcinoma. Clin Cancer Res, 2019;25(3):912–20.
Article PubMed CAS Google Scholar
Zhang Y, Liu P, Jiang Y, Dou X, Yan J, Ma C, Fan Q, Wang W, Su F, Tang H et al. High expression of neuropilin-1 associates with unfavorable clinicopathological features in hepatocellular carcinoma. Pathol Oncol Res, 2016;22(2):367–75.
Article PubMed CAS Google Scholar
Pinker K, Shitano F, Sala E, Do RK, Young RJ, Wibmer AG, Hricak H, Sutton EJ, Morris EA. Background, current role, and potential applications of radiogenomics. J Magn Reson Imaging, 2018;47(3):604–20.
Hectors SJ, Lewis S, Besa C, King MJ, Said D, Putra J, Ward S, Higashi T, Thung S, Yao S et al. MRI radiomics features predict immuno-oncological characteristics of hepatocellular carcinoma. Eur Radiol, 2020;30(7):3759–69.
Article PubMed PubMed Central Google Scholar
Gu D, Xie Y, Wei J, Li W, Ye Z, Zhu Z, Tian J, Li X. MRI-Based radiomics signature: A potential biomarker for identifying glypican 3-Positive hepatocellular carcinoma. J Magn Reson Imaging, 2020;52(6):1679–87.
Wang L, Ma X, Feng B, Wang S, Liang M, Li D, Wang S, Zhao X. Multi-Sequence MR-Based Radiomics Signature for Predicting Early Recurrence in Solitary Hepatocellular Carcinoma ≤ 5 cm. Front Oncol, 2022;12:899404.
Article PubMed PubMed Central CAS Google Scholar
Hui T, Chuah TK, Low HM, Tan CH. Predicting early recurrence of hepatocellular carcinoma with texture analysis of preoperative MRI: A radiomics study. Clin Radiol, 2018;73(12):1011–56.
Li Y, Yan C, Weng S, Shi Z, Sun H, Chen J, Xu X, Ye R, Hong J. Texture analysis of multi-phase MRI images to detect expression of Ki67 in hepatocellular carcinoma. Clin Radiol, 2019;74(10):813–9.
Zhang R, Xu L, Wen X, Zhang J, Yang P, Zhang L, Xue X, Wang X, Huang Q, Guo C et al. A nomogram based on bi-regional radiomics features from multimodal magnetic resonance imaging for preoperative prediction of microvascular invasion in hepatocellular carcinoma. Quant Imaging Med Surg, 2019;9(9):1503–15.
Article PubMed PubMed Central Google Scholar
Yuan G, Song Y, Li Q, Hu X, Zang M, Dai W, Cheng X, Huang W, Yu W, Chen M et al. Development and validation of a Contrast-Enhanced CT-Based radiomics nomogram for prediction of therapeutic efficacy of Anti-PD-1 antibodies in advanced HCC patients. Front Immunol, 2020;11:613946.
Article PubMed CAS Google Scholar
Wang XH, Long LH, Cui Y, Jia AY, Zhu XG, Wang HZ, Wang Z, Zhan CM, Wang ZH, Wang WH. MRI-based radiomics model for preoperative prediction of 5-year survival in patients with hepatocellular carcinoma. Br J Cancer, 2020;122(7):978–85.
Article PubMed CAS Google Scholar
Granito A, Galassi M, Piscaglia F, Romanini L, Lucidi V, Renzulli M, Borghi A, Grazioli L, Golfieri R, Bolondi L. Impact of gadoxetic acid (Gd-EOB-DTPA)-enhanced magnetic resonance on the non-invasive diagnosis of small hepatocellular carcinoma: A prospective study. Aliment Pharmacol Ther, 2013;37(3):355–63.
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