Trial reportEuropean radiology2019
Composite criteria using clinical and FDG PET/CT factors for predicting recurrence of hepatocellular carcinoma after living donor liver transplantation.
Trial report in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- 2022 KLCA-NCC Korea practice guidelines for the management of hepatocellular carcinoma.Clinical and molecular hepatology · 2022Guideline
- Spectrum of therapeutic options in hepatocellular carcinoma.Journal of exercise rehabilitation · 2025Review
- Biomarkers for diagnosis and therapeutic options in hepatocellular carcinoma.Molecular cancer · 2024Review
- The application ofQuantitative imaging in medicine and surgery · 2023Review
- Impact of metabolic indices ofJournal of cancer research and clinical oncology · 2023Article
- 2022 KLCA-NCC Korea practice guidelines for the management of hepatocellular carcinoma.Journal of liver cancer · 2023Review
- 2022 KLCA-NCC Korea Practice Guidelines for the Management of Hepatocellular Carcinoma.Korean journal of radiology · 2022Review
- Review
- An FDG PET/CT metabolic parameter-based nomogram for predicting the early recurrence of hepatocellular carcinoma after liver transplantation.European journal of nuclear medicine and molecular imaging · 2021Article
- Immunological Markers, Prognostic Factors and Challenges Following Curative Treatments for Hepatocellular Carcinoma.International journal of molecular sciences · 2021Review
- Gadoxetic acid-enhanced MRI as a predictor of recurrence of HCC after liver transplantation.European radiology · 2020Article
- Navigating the Complexities of Hepatocellular Carcinoma Management: Optimizing Liver Transplantation Outcomes Through a Multifaceted Approach.Journal of clinical and experimental hepatologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
objectivesFluorodeoxyglucose (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.
methodsWe 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
resultsTumor size, number, alpha-fetoprotein, and TBR
conclusionsThe composite criteria adding FDG PET findings to clinical factors are effective in selecting appropriate liver cancer patients who are candidates for liver transplantation. KEY POINTS: • In patients with HCC, tumor uptake on FDG PET/CT, tumor size, number, and serum AFP level are recognized individual predictors for tumor recurrence after LT. • A composite criterion set, combining tumor size, number, serum AFP level, and maximum tumor-to-background ratio (TBR
Indexed as
Identifiers
31115626What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.