A deep learning model based on MRI for prediction of vessels encapsulating tumour clusters and prognosis in hepatocellular carcinoma-Reference-Cited by-同舟云学术

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A deep learning model based on MRI for prediction of vessels encapsulating tumour clusters and prognosis in hepatocellular carcinoma

Published:2024-01-04 Issue:4 Volume:49 Page:1074-1083
ISSN:2366-0058
Container-title:Abdominal Radiology
language:en
Short-container-title:Abdom Radiol

Author:

Yang Jiawen,Dong Xue,Wang Fang,Jin Shengze,Zhang Binhao,Zhang Huangqi,Pan Wenting,Gan Meifu,Duan Shaofeng,Zhang Limin,Hu Hongjie,Ji Wenbin^ORCID

Funder

National Natural Science Foundation of China

the Scientific Research Fund of Enze Medical Center

Provincial Medical and Health Plan Class A

the Special Fund for Basic Scientific Research Business Expenses of Zhejiang University

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00261-023-04141-3.pdf

Reference29 articles.

1. Sung H, Ferlay J, Siegel RL, et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021. 71(3): 209-249.

2. Forner A, Reig M, Bruix J. Hepatocellular carcinoma. Lancet. 2018. 391(10127): 1301-1314.

3. Hasegawa K, Kokudo N, Makuuchi M, et al. Comparison of resection and ablation for hepatocellular carcinoma: a cohort study based on a Japanese nationwide survey. J Hepatol. 2013. 58(4): 724-9.

4. Llovet JM, Kelley RK, Villanueva A, et al. Hepatocellular carcinoma. Nat Rev Dis Primers 2021; 7:6.

5. Ding T, Xu J, Zhang Y, et al. Endothelium-coated tumor clusters are associated with poor prognosis and micrometastasis of hepatocellular carcinoma after resection. Cancer 2011; 117:4878-4889.

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