ArticleCancer medicine2023
Radiological-histopathological discordance in patients transplanted for HCC and its impact on post-transplant outcomes.
Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Article
- Accuracy of cross-sectional imaging in predicting tumor viability using the LI-RADS treatment response algorithm after image-guided percutaneous ablation with radiologic-pathologic explant correlation.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025Article
- Radiological-histopathological discordance in patients transplanted for HCC and its impact on post-transplant outcomes.Cancer medicine · 2023Article
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
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimsContrast-enhanced cross-sectional imaging is the cornerstone in the diagnosis, staging, and management of HCC, including eligibility for liver transplantation (LT). Radiological-histopathological discordance may lead to improper staging and may impact patient outcomes. We aimed to assess the radiological-histopathological discordance at the time of LT in HCC patients and its impact on the post-LT outcomes.
methodsWe analyzed further the effect of 6-month waiting policy on the discordance. Using United Network for Organ Sharing-Organ Procurement and Transplantation Network (UNOS-OPTN) database, we examined the discordance between pre-LT imaging and explant histopathology for all adult HCC patients who received liver transplants from deceased donors between April 2012 and December 2017. Kaplan-Meier methods and Cox regression analyses were used to evaluate the impact of discordance on 3-year HCC recurrence and mortality.
resultsOf 6842 patients included in the study, 66.7% were within Milan criteria on both imaging and explant histopathology, and 33.3% were within the Milan based on imaging but extended beyond Milan on explant histopathology. Male gender, increasing numbers of tumors, bilobar distribution, larger tumor size, and increasing AFP are associated with increased discordance. Post-LT HCC recurrence and death were significantly higher in patients who were discordant, with histopathology beyond Milan (adj HR 1.86, 95% CI 1.32-2.63 for mortality and 1.32, 95% CI 1.03-1.70 for recurrence). Graft allocation policy with 6-month waiting time led to increased discordance (OR 1.19, CI 1.01-1.41), although it did not impact post-LT outcome.
conclusionCurrent practice for staging of HCC based on radiological imaging features alone results in underestimation of HCC burden in one out of three patients with HCC. This discordance is associated with a higher risk of post-LT HCC recurrence and mortality. These patients will need enhanced surveillance to optimize patient selection and aggressive LRT to reduce post-LT recurrence and increase survival.
Indexed as
Identifiers
What 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.