Downstaging Outcomes for Hepatocellular Carcinoma: Results From the Multicenter Evaluation of Reduction in Tumor Size before Liver Transplantation (MERITS-LT) Consortium is a research paper published in Gastroenterology (2021). On theSindex it has a DataRank of 0. It has been cited 150 times.
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National Institutes of Health
Grant: P30 DK026743
NCI NIH HHS
Grant: K08 CA222676
National Institutes of Health
Grant: 5P30DK026743-27
UCSF Liver Core Center
Genentech
Liver Center, University of California, San Francisco
Bayer Fund
Eli Lilly and Company
Eisai
Exelixis
National Institute of Diabetes and Digestive and Kidney Diseases
FWCI
11.35
Citation Percentile
1.0%
Influential Citations
5
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 4 of Predicting the outcomes of hepatocellular carcinoma downstaging with the use of clinical and radiomics features
Additional file 4 of Predicting the outcomes of hepatocellular carcinoma downstaging with the use of clinical and radiomics features
Additional file 5 of Predicting the outcomes of hepatocellular carcinoma downstaging with the use of clinical and radiomics features
Additional file 5 of Predicting the outcomes of hepatocellular carcinoma downstaging with the use of clinical and radiomics features
Additional file 2 of Predicting the outcomes of hepatocellular carcinoma downstaging with the use of clinical and radiomics features
Additional file 3 of Predicting the outcomes of hepatocellular carcinoma downstaging with the use of clinical and radiomics features
Additional file 1 of Predicting the outcomes of hepatocellular carcinoma downstaging with the use of clinical and radiomics features
Additional file 3 of Predicting the outcomes of hepatocellular carcinoma downstaging with the use of clinical and radiomics features
Additional file 2 of Predicting the outcomes of hepatocellular carcinoma downstaging with the use of clinical and radiomics features
Additional file 1 of Predicting the outcomes of hepatocellular carcinoma downstaging with the use of clinical and radiomics features