Composite criteria using clinical and FDG PET/CT factors for predicting recurrence of hepatocellular carcinoma after living donor liver transplantation
Creators
- 1. Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate school of Convergence Science and Technology, Seoul National University (Korea, Republic of)
- 2. Department of Nuclear Medicine, Seoul National University Hospital (Korea, Republic of)
- 3. Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul (Korea, Republic of)
- 4. Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul (Korea, Republic of)
- 5. Department of Nuclear Medicine, Korea University Anam Hospital, Seoul (Korea, Republic of)
- 6. Cancer Research Institute, Seoul National University College of Medicine (Korea, Republic of)
- 7. Department of Surgery, Seoul National University College of Medicine (Korea, Republic of)
- 8. Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul (Korea, Republic of)
Description
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. 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 (TBR) 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. Tumor size, number, alpha-fetoprotein, and TBR 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 TBR< 2.8. The composite criteria exhibited the highest performance for predicting recurrence and recurrence-free survival among the tested criteria including conventional ones. The composite criteria adding FDG PET findings to clinical factors are effective in selecting appropriate liver cancer patients who are candidates for liver transplantation.
Availability note (English)
Available from: http://dx.doi.org/10.1007/s00330-019-06239-zAdditional details
Identifiers
Publishing Information
- Journal Title
- European Radiology
- Journal Volume
- 29
- Journal Issue
- 11
- Journal Page Range
- p. 6009-6017
- ISSN
- 0938-7994
- CODEN
- EURAE3
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- Germany
- INIS RN
- 51036186
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- COMPARATIVE EVALUATIONS; DIAGNOSIS; FLUORINE 18; FLUORODEOXYGLUCOSE; HEPATOMAS; LIVER; MULTIVARIATE ANALYSIS; PERFORMANCE; POSITRON COMPUTED TOMOGRAPHY; RADIOPHARMACEUTICALS; REGRESSION ANALYSIS; SENSITIVITY; SPECIFICITY; SURVIVAL CURVES; TRANSPLANTS; VALIDATION
- Descriptors DEC
- ANTIMETABOLITES; BETA DECAY RADIOISOTOPES; BETA-PLUS DECAY RADIOISOTOPES; BODY; CARCINOMAS; COMPUTERIZED TOMOGRAPHY; DIAGNOSTIC TECHNIQUES; DIGESTIVE SYSTEM; DISEASES; DRUGS; EMISSION COMPUTED TOMOGRAPHY; EVALUATION; FLUORINE ISOTOPES; GLANDS; HOURS LIVING RADIOISOTOPES; ISOMERIC TRANSITION ISOTOPES; ISOTOPES; LABELLED COMPOUNDS; LIGHT NUCLEI; MATERIALS; MATHEMATICS; NANOSECONDS LIVING RADIOISOTOPES; NEOPLASMS; NUCLEI; ODD-ODD NUCLEI; ORGANS; RADIOACTIVE MATERIALS; RADIOISOTOPES; STATISTICS; TESTING; TOMOGRAPHY