Background: Hepatocellular carcinoma (HCC) is one of the leading indications for liver transplantation (LT) however, selection criteria remain controversial. We aimed to identify survival factors and predictors for tumour recurrence using machine learning (ML) methods. We also compared ML models to the Cox regression model.
View Article and Find Full Text PDFAim: To compare the long-term outcomes between liver transplant (LT) recipients with hepatocellular carcinoma (HCC) who were downstaged with transarterial-chemoembolization (TACE) to the Milan criteria (MC) and those initially meeting the MC.
Methods: This retrospective study enrolled 198 patients with HCC: 38 were downstaged and 160 patients initially met the MC. Post-LT survival and HCC recurrence-free survival were evaluated.
The aim was to determine the cost of hospitalization for a transplant procedure and identify the independent variables associated with the cost of transplantation. The investigation was designed as a retrospective single-center cohort study conducted at a tertiary university hospital transplant center in Zagreb, Croatia. The study included 219 consecutive kidney recipients transplanted during the 2007-2013 period at the Merkur University Hospital.
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