Hepatoblastoma in Explanted Livers of Patients With Biliary Atresia
Bibliographic record
Abstract
OBJECTIVES: Surveillance of hepatic nodules for malignant transformation to hepatocellular carcinoma is important in the monitoring of patients with biliary atresia (BA). To date, only 2 published case reports describe the finding of hepatoblastoma (HB) in this setting. The present study aimed to investigate this association of HB and BA, and to assess the utility of alpha-fetoprotein (aFP) as a marker in the diagnosis. METHODS: A retrospective study of all patients who underwent isolated liver transplantation (LTx) for the primary diagnosis of BA at a single center, between January 1999 and June 2014, was conducted. Patient demographics, pre-LTx aFP levels, and histologic examination of native liver explants were reviewed. RESULTS: One hundred two (44% men, median age 11 months) patients underwent LTx for BA. Two (2%) explants examinations were confirmatory for concomitant HB; both patients had abnormally elevated aFP. Overall, 56 (55%) patients had available pre-LTx aFP levels. Recipients with persistently abnormal aFP levels (n = 20, 36%) were older at hepatoportoenterostomy (107 vs 68 days, P = 0.02) and younger at LTx surgery (359 vs 1713 days, P < 0.01), compared to patients with constantly normal levels (n = 24, 43%). CONCLUSIONS: In our cohort, HB was found to coexist in approximately 2% of patients with BA undergoing LTx, far exceeding the hypothetical anticipated incidence of 1:10 billion for the concomitant diagnoses. Elevated serum aFP levels may be sensitive but not specific for HB in this context. Further research is required to identify specific mechanisms and risk factors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".