4.7 Article

Composite criteria using clinical and FDG PET/CT factors for predicting recurrence of hepatocellular carcinoma after living donor liver transplantation

Journal

EUROPEAN RADIOLOGY
Volume 29, Issue 11, Pages 6009-6017

Publisher

SPRINGER
DOI: 10.1007/s00330-019-06239-z

Keywords

Hepatocellular carcinoma; Transplantation; Positron emission tomography; Recurrence

Funding

  1. Korea Health Technology R&D Project through the Korea Health Industry Development Institute - Ministry of Health & Welfare, Republic of Korea [HI14C1277]

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Objectives Fluorodeoxyglucose (FDG) PET/CT is effective for predicting recurrence of hepatocellular carcinoma after liver transplantation. This study aimed to design composite criteria for predicting post-transplantation recurrence using clinical and FDG PET/CT factors. Methods We retrospectively enrolled 239 patients who underwent living donor transplantation in two independent centers between 2005 and 2013. On PET, maximum tumor-to-background ratio (TBRmax) was measured. Significant predictors for recurrence were selected by logistic regression and survival analyses. With varying cutoff values for the selected factors, composite criteria were designed to maximize the predictive performance for recurrence, and tenfold cross-validation was performed. Predictive values were compared between the composite criteria and the conventional recipient selection criteria. Results Tumor size, number, alpha-fetoprotein, and TBRmax were selected as significant predictors in both logistic regression and multivariate survival analyses. In combination of these factors, the highest diagnostic performance was sensitivity of 75.7% and specificity of 88.5% with cutoff values of tumor size < 6.0 cm, tumor number < 8, alpha-fetoprotein < 465 ng/mL, and TBRmax < 2.8. The composite criteria exhibited the highest performance for predicting recurrence and recurrence-free survival among the tested criteria including conventional ones. Conclusions The composite criteria adding FDG PET findings to clinical factors are effective in selecting appropriate liver cancer patients who are candidates for liver transplantation.

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