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Cited by in F6Publishing
For: Zhong BY, Ni CF, Ji JS, Yin GW, Chen L, Zhu HD, Guo JH, He SC, Deng G, Zhang Q, Li PC, Yu H, Song JJ, Teng GJ. Nomogram and Artificial Neural Network for Prognostic Performance on the Albumin-Bilirubin Grade for Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization. J Vasc Interv Radiol. 2019;30:330-338. [PMID: 30819473 DOI: 10.1016/j.jvir.2018.08.026] [Cited by in Crossref: 10] [Cited by in F6Publishing: 8] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Meek RD, Lungren MP, Gichoya JW. Machine Learning for the Interventional Radiologist. American Journal of Roentgenology 2019;213:782-4. [DOI: 10.2214/ajr.19.21527] [Cited by in Crossref: 5] [Article Influence: 2.5] [Reference Citation Analysis]
2 Geschwind JH, Hochster HS. Tools from the World of Artificial Intelligence in Interventional Oncology: Be Careful What You Wish For. J Vasc Interv Radiol 2019;30:339-41. [PMID: 30819474 DOI: 10.1016/j.jvir.2019.01.013] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Zhang L, Yan ZP, Hou ZH, Huang P, Yang MJ, Zhang S, Zhang S, Zhang SH, Zhu XL, Ni CF, Li Q. Neutrophil-to-Lymphocyte and Platelet-to-Lymphocyte Ratios as Predictors of Outcomes in Patients With Unresectable Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization Plus Sorafenib. Front Mol Biosci 2021;8:624366. [PMID: 34124139 DOI: 10.3389/fmolb.2021.624366] [Reference Citation Analysis]
4 Zhang L, Sun JH, Hou ZH, Zhong BY, Yang MJ, Zhou GH, Wang WS, Huang P, Zhang S, Li Z, Zhu XL, Yan ZP, Ni CF. Prognosis Nomogram for Hepatocellular Carcinoma Patients with Portal Vein Invasion Undergoing Transarterial Chemoembolization Plus Sorafenib Treatment: A Retrospective Multicentre Study. Cardiovasc Intervent Radiol 2021;44:63-72. [PMID: 32965582 DOI: 10.1007/s00270-020-02579-2] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
5 Bannaga A, Arasaradnam RP. Neutrophil to lymphocyte ratio and albumin bilirubin grade in hepatocellular carcinoma: A systematic review. World J Gastroenterol 2020; 26(33): 5022-5049 [PMID: 32952347 DOI: 10.3748/wjg.v26.i33.5022] [Cited by in CrossRef: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
6 Zhong BY, Yan ZP, Sun JH, Zhang L, Hou ZH, Yang MJ, Zhou GH, Wang WS, Li Z, Huang P, Zhang S, Zhu XL, Ni CF. Prognostic Performance of Albumin-Bilirubin Grade With Artificial Intelligence for Hepatocellular Carcinoma Treated With Transarterial Chemoembolization Combined With Sorafenib. Front Oncol 2020;10:525461. [PMID: 33392064 DOI: 10.3389/fonc.2020.525461] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
7 Ni J, Fang Z, Sun H, An C, Huang Z, Zhang T, Jiang X, Chen Y, Xu L, Huang J. A nomogram to predict survival of patients with intermediate-stage hepatocellular carcinoma after transarterial chemoembolization combined with microwave ablation. Eur Radiol 2020;30:2377-90. [DOI: 10.1007/s00330-019-06438-8] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 7.0] [Reference Citation Analysis]
8 Demirtas CO, D'Alessio A, Rimassa L, Sharma R, Pinato DJ. ALBI grade: Evidence for an improved model for liver functional estimation in patients with hepatocellular carcinoma. JHEP Rep 2021;3:100347. [PMID: 34505035 DOI: 10.1016/j.jhepr.2021.100347] [Reference Citation Analysis]