| For: | Gao XX, Li JF. Current strategies for predicting post-hepatectomy liver failure and a new ultrasound-based nomogram. World J Gastroenterol 2024; 30(39): 4254-4259 [PMID: 39492820 DOI: 10.3748/wjg.v30.i39.4254] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v30/i39/4254.htm |
| Number | Citing Articles |
| 1 |
Zihan Mu, Jiaojiao Su, Jiuhua Yi, Rui Fan, Jiayuan Yin, Yazhao Li, Bowen Yao. A non-invasive nomogram for the prediction of poor prognosis of hepatocellular carcinoma based on the novel marker Interleukin-41. BMC Cancer 2025; 25(1) doi: 10.1186/s12885-025-14344-0
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| 2 |
Qian Chen, Feng Xia, Bin Guo, Zhicheng Liu, Xulin Liu, Chang Shu, Jing Yan, Zhancheng Qiu, Qiao Zhang, Zhenheng Wu, Zhiyuan Huang, Xiaoping Chen, Bixiang Zhang, Peng Zhu. Development and Internal Multicenter Validation of a Deep Learning Model for Predicting Post-Hepatectomy Liver Failure in Patients with Hepatocellular Carcinoma: A Multicenter Study. Cancers 2026; 18(6): 926 doi: 10.3390/cancers18060926
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| 3 |
Jun Pu, Yamin Zhao, Siming Zhang, Tianqi Wu, Ruizi Liu, Tianyi Yuan, Songnian He, Qingyu Hao, Haixia Zhu. Mapping the knowledge domains of literature on hepatocellular carcinoma and liver failure: a bibliometric approach. Frontiers in Oncology 2025; 15 doi: 10.3389/fonc.2025.1529297
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