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For: Prodeau M, Drumez E, Duhamel A, Vibert E, Farges O, Lassailly G, Mabrut J, Hardwigsen J, Régimbeau J, Soubrane O, Adam R, Pruvot F, Boleslawski E. An ordinal model to predict the risk of symptomatic liver failure in patients with cirrhosis undergoing hepatectomy. Journal of Hepatology 2019;71:920-9. [DOI: 10.1016/j.jhep.2019.06.003] [Cited by in Crossref: 19] [Cited by in F6Publishing: 31] [Article Influence: 6.3] [Reference Citation Analysis]
Number Citing Articles
1 Yugawa K, Maeda T, Nagata S, Shiraishi J, Sakai A, Yamaguchi S, Konishi K, Hashimoto K. Impact of aspartate aminotransferase-to-platelet ratio index based score to assess posthepatectomy liver failure in patients with hepatocellular carcninoma. World J Surg Oncol 2022;20:248. [PMID: 35918753 DOI: 10.1186/s12957-022-02714-y] [Reference Citation Analysis]
2 Cai S, Lin X, Sun Y, Lin Z, Wang X, Lin N, Zhao X. Quantitative parameters obtained from gadobenate dimeglumine-enhanced MRI at the hepatobiliary phase can predict post-hepatectomy liver failure and overall survival in patients with hepatocellular carcinoma. Eur J Radiol 2022;154:110449. [PMID: 35901599 DOI: 10.1016/j.ejrad.2022.110449] [Reference Citation Analysis]
3 Wang J, Zhang Z, Shang D, Li J, Liu C, Yu P, Wang M, Liu D, Miao H, Li S, Zhang B, Huang A, Zhang Y, Chen S, Qi X. Noninvasively Assessed Portal Hypertension Grade Predicts Post-Hepatectomy Liver Failure in Patients With HepatocellCarcinoma: A Multicenter Study. Front Oncol 2022;12:934870. [DOI: 10.3389/fonc.2022.934870] [Reference Citation Analysis]
4 Meng D, Liang C, Zheng Y, Wang X, Liu K, Lin Z, Zhu Q, Zhao X. The value of gadobenate dimeglumine-enhanced biliary imaging from the hepatobiliary phase for predicting post-hepatectomy liver failure in HCC patients. Eur Radiol 2022. [PMID: 35639146 DOI: 10.1007/s00330-022-08874-5] [Reference Citation Analysis]
5 Barbier L, Cauchy F. What assessment of the liver before resection for hepatocellular carcinoma? Clinics and Research in Hepatology and Gastroenterology 2022. [DOI: 10.1016/j.clinre.2022.101916] [Reference Citation Analysis]
6 Luo N, Huang X, Ji Y, Jin G, Qin Y, Xiang B, Su D, Tang W. A functional liver imaging score for preoperative prediction of liver failure after hepatocellular carcinoma resection. Eur Radiol 2022. [PMID: 35294586 DOI: 10.1007/s00330-022-08656-z] [Reference Citation Analysis]
7 Lei Z, Cheng N, Si A, Yang P, Guo G, Ma W, Yu Q, Wang X, Cheng Z. A Novel Nomogram for Predicting Postoperative Liver Failure After Major Hepatectomy for Hepatocellular Carcinoma. Front Oncol 2022;12:817895. [DOI: 10.3389/fonc.2022.817895] [Reference Citation Analysis]
8 Shi Y, Long H, Zhong X, Peng J, Su L, Duan Y, Ke W, Xie X, Lin M. The Value of Liver Stiffness Measured by Two-Dimensional Shear Wave Elastography for Predicting Symptomatic Posthepatectomy Liver Failure in Patients with Hepatocellular Carcinoma. European Journal of Radiology 2022. [DOI: 10.1016/j.ejrad.2022.110248] [Reference Citation Analysis]
9 Birgin E, Yang C, Brunner A, Hetjens S, Rahbari M, Bork U, Reissfelder C, Weitz J, Rahbari NN. A postresection perfusion deficit in the right colon is an independent predictor of perioperative outcome after major hepatectomy. J Hepatobiliary Pancreat Sci 2021. [PMID: 34856068 DOI: 10.1002/jhbp.1089] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Ronca V, Barabino M, Santambrogio R, Opocher E, Hodson J, Bertolini E, Birocchi S, Piccolo G, Battezzati P, Cattaneo M, Podda GM. Impact of Platelet Count on Perioperative Bleeding in Patients With Cirrhosis Undergoing Surgical Treatments of Liver Cancer. Hepatol Commun 2021. [PMID: 34716696 DOI: 10.1002/hep4.1806] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
11 Kim DW, Ha J, Lee SS, Kwon JH, Kim NY, Sung YS, Yoon JS, Suk HI, Lee Y, Kang BK. Population-based and Personalized Reference Intervals for Liver and Spleen Volumes in Healthy Individuals and Those with Viral Hepatitis. Radiology 2021;:204183. [PMID: 34402668 DOI: 10.1148/radiol.2021204183] [Reference Citation Analysis]
12 Long H, Zhong X, Su L, Huang T, Duan Y, Ke W, Xie X, Lin M. Liver Stiffness Measured by Two-Dimensional Shear Wave Elastography for Predicting Symptomatic Post-hepatectomy Liver Failure in Patients with Hepatocellular Carcinoma. Ann Surg Oncol 2021. [PMID: 34379248 DOI: 10.1245/s10434-021-10563-4] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
13 Vibert E, Schwartz M, Olthoff KM. Advances in resection and transplantation for hepatocellular carcinoma. J Hepatol. 2020;72:262-276. [PMID: 31954491 DOI: 10.1016/j.jhep.2019.11.017] [Cited by in Crossref: 26] [Cited by in F6Publishing: 50] [Article Influence: 26.0] [Reference Citation Analysis]
14 Pirisi M, Leutner M, Romito R, Gaia S. Novel Calculators for Risk Stratification in Hepatocellular Carcinoma: A Concise Review. J Clin Gastroenterol 2020;54:789-94. [PMID: 32773489 DOI: 10.1097/MCG.0000000000001406] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
15 Yoshino K, Yoh T, Taura K, Seo S, Ciria R, Briceño-Delgado J. A systematic review of prediction models for post-hepatectomy liver failure in patients undergoing liver surgery. HPB (Oxford) 2021:S1365-182X(21)00141-6. [PMID: 34090805 DOI: 10.1016/j.hpb.2021.05.002] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
16 Zhong W, Zhang F, Huang K, Zou Y, Liu Y. Development and Validation of a Nomogram Based on Noninvasive Liver Reserve and Fibrosis (PALBI and FIB-4) Model to Predict Posthepatectomy Liver Failure Grade B-C in Patients with Hepatocellular Carcinoma. J Oncol 2021;2021:6665267. [PMID: 34221013 DOI: 10.1155/2021/6665267] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
17 Sun H, Sun S, Chen G, Xie H, Yu S, Lin X, Qian J, Mao C, Peng H, Chen H, Chen X, Li Y, Liu C, Shi J, Zhu B, Guo L, Li Q, Huang P, Wei Y, Huang X, Liu M, Cui Z, Zhang Q, Zhou J, Li C, Wang K. Ceramides and sphingosine-1-phosphate mediate the distinct effects of M1/M2-macrophage infusion on liver recovery after hepatectomy. Cell Death Dis 2021;12:324. [PMID: 33771984 DOI: 10.1038/s41419-021-03616-9] [Cited by in F6Publishing: 4] [Reference Citation Analysis]
18 Chang J, Bamarni A, Böhling N, Zhou X, Klein LM, Meinke J, Duerr GD, Lingohr P, Wehner S, Brol MJ, Rockstroh JK, Kalff JC, Manekeller S, Meyer C, Spengler U, Jansen C, Arroyo V, Strassburg CP, Trebicka J, Praktiknjo M. Elective Surgery but not Transjugular Intrahepatic Portosystemic Shunt Precipitates Acute-On-Chronic Liver Failure. Hepatol Commun 2021;5:1265-77. [PMID: 34278174 DOI: 10.1002/hep4.1712] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
19 Chen Y, Liu Z, Mo Y, Li B, Zhou Q, Peng S, Li S, Kuang M. Prediction of Post-hepatectomy Liver Failure in Patients With Hepatocellular Carcinoma Based on Radiomics Using Gd-EOB-DTPA-Enhanced MRI: The Liver Failure Model. Front Oncol 2021;11:605296. [PMID: 33777748 DOI: 10.3389/fonc.2021.605296] [Cited by in Crossref: 1] [Cited by in F6Publishing: 6] [Article Influence: 1.0] [Reference Citation Analysis]
20 Haber PK, Maier C, Kästner A, Feldbrügge L, Ortiz Galindo SA, Geisel D, Fehrenbach U, Biebl M, Krenzien F, Benzing C, Schöning W, Pratschke J, Schmelzle M. Predicting the Risk of Postoperative Complications in Patients Undergoing Minimally Invasive Resection of Primary Liver Tumors. J Clin Med 2021;10:685. [PMID: 33578875 DOI: 10.3390/jcm10040685] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
21 Li B, Qin Y, Qiu Z, Ji J, Jiang X. A cohort study of hepatectomy-related complications and prediction model for postoperative liver failure after major liver resection in 1,441 patients without obstructive jaundice. Ann Transl Med 2021;9:305. [PMID: 33708932 DOI: 10.21037/atm-20-5472] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
22 Huang M, Shen S, Cai H, Peng Z, Chiu WHK, Li ZP, Peng B, Feng ST. Regional liver function analysis with gadoxetic acid-enhanced MRI and virtual hepatectomy: prediction of postoperative short-term outcomes for HCC. Eur Radiol 2021;31:4720-30. [PMID: 33449173 DOI: 10.1007/s00330-020-07606-x] [Cited by in F6Publishing: 5] [Reference Citation Analysis]
23 Hobeika C, Cauchy F, Weiss E, Chopinet S, Sepulveda A, Dondero F, Khoy-Ear L, Grigoresco B, Dokmak S, Durand F, Le Roy B, Paugam-Burtz C, Soubrane O. Practical model to identify liver transplant recipients at low risk of postoperative haemorrhage, bile leakage and ascites. BJS Open 2021;5:zraa031. [PMID: 33609380 DOI: 10.1093/bjsopen/zraa031] [Reference Citation Analysis]
24 Golse N, Joly F, Combari P, Lewin M, Nicolas Q, Audebert C, Samuel D, Allard MA, Sa Cunha A, Castaing D, Cherqui D, Adam R, Vibert E, Vignon-Clementel IE. Predicting the risk of post-hepatectomy portal hypertension using a digital twin: A clinical proof of concept. J Hepatol 2021;74:661-9. [PMID: 33212089 DOI: 10.1016/j.jhep.2020.10.036] [Cited by in Crossref: 3] [Cited by in F6Publishing: 12] [Article Influence: 1.5] [Reference Citation Analysis]
25 Ahn Y, Yoon JS, Lee SS, Suk HI, Son JH, Sung YS, Lee Y, Kang BK, Kim HS. Deep Learning Algorithm for Automated Segmentation and Volume Measurement of the Liver and Spleen Using Portal Venous Phase Computed Tomography Images. Korean J Radiol 2020;21:987-97. [PMID: 32677383 DOI: 10.3348/kjr.2020.0237] [Cited by in Crossref: 11] [Cited by in F6Publishing: 18] [Article Influence: 5.5] [Reference Citation Analysis]
26 Hobeika C, Fuks D, Cauchy F, Goumard C, Gayet B, Laurent A, Soubrane O, Salamé E, Cherqui D, Regimbeau J, Mabrut J, Scatton O, Vibert E, Nomi T, Oudafal N, Kawai T, Komatsu S, Okumura S, Petrucciani N, Laurent A, Bucur P, Barbier L, Trechot B, Nunèz J, Tedeschi M, Allard M, Golse N, Ciacio O, Pittau G, Sa Cunha A, Adam R, Laurent C, Chiche L, Leourier P, Rebibo L, Regimbeau J, Ferre L, Souche F, Chauvat J, Fabre J, Jehaes F, Mohkam K, Lesurtel M, Ducerf C, Mabrut J, Hor T, Paye F, Balladur P, Suc B, Muscari F, Millet G, El Amrani M, Ratajczak C, Lecolle K, Boleslawski E, Truant S, Pruvot F, Kianmanesh A, Codjia T, Schwarz L, Girard E, Abba J, Letoublon C, Chirica M, Carmelo A, Vanbrugghe C, Cherkaoui Z, Unterteiner X, Memeo R, Pessaux P, Buc E, Lermite E, Barbieux J, Bougard M, Marchese U, Ewald J, Turini O, Thobie A, Menahem B, Mulliri A, Lubrano J, Zemour J, Fagot H, Passot G, Gregoire E, Hardwigsen J, le Treut Y, Patrice D. Benchmark performance of laparoscopic left lateral sectionectomy and right hepatectomy in expert centers. Journal of Hepatology 2020;73:1100-8. [DOI: 10.1016/j.jhep.2020.05.003] [Cited by in Crossref: 7] [Cited by in F6Publishing: 14] [Article Influence: 3.5] [Reference Citation Analysis]
27 Yang N, Chen H, Gao Y, Zhang S, Lin Q, Ji X, Li N, Xu W, Liu Y, Jin S. Tanshinone IIA exerts therapeutic effects by acting on endogenous stem cells in rats with liver cirrhosis. Biomed Pharmacother 2020;132:110815. [PMID: 33113421 DOI: 10.1016/j.biopha.2020.110815] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
28 Mai R, Lu H, Bai T, Liang R, Lin Y, Ma L, Xiang B, Wu G, Li L, Ye J. Artificial neural network model for preoperative prediction of severe liver failure after hemihepatectomy in patients with hepatocellular carcinoma. Surgery 2020;168:643-52. [DOI: 10.1016/j.surg.2020.06.031] [Cited by in Crossref: 5] [Cited by in F6Publishing: 13] [Article Influence: 2.5] [Reference Citation Analysis]
29 Hanaki T, Uchinaka EI, Yagyu T, Morimoto M, Watanabe J, Miyatani K, Kihara K, Matsunaga T, Yamamoto M, Fukumoto Y, Tokuyasu N, Takano S, Sakamoto T, Honjo S, Hasegawa T, Fujiwara Y. A Novel Noninvasive Method for Predicting Liver Fibrosis by Quantifying the Estrangement of Indocyanine Green Retention Rate and Tc-99m-diethylenetriamine-penta-acetic Acid-galactosyl Human Serum Albumin Scintigraphy. In Vivo 2020;34:1187-93. [PMID: 32354908 DOI: 10.21873/invivo.11891] [Reference Citation Analysis]
30 Sahara K, Tsilimigras DI, Paredes AZ, Farooq SA, Hyer JM, Moro A, Mehta R, Wu L, Endo I, Ejaz A, Cloyd J, Pawlik TM. Development and validation of a real-time mortality risk calculator before, during and after hepatectomy: an analysis of the ACS NSQIP database. HPB (Oxford) 2020;22:1158-67. [PMID: 31812552 DOI: 10.1016/j.hpb.2019.10.2446] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
31 Vitale A, Majno-hurst P. Towards a personalized approach to hepatic resection in cirrhotic patients. Journal of Hepatology 2019;71:859-61. [DOI: 10.1016/j.jhep.2019.09.005] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]