Neonatal Hepatoblastoma: Two Cases Posing a Diagnostic Dilemma, with a Review of the Literature
Bibliographic record
Abstract
Hepatoblastoma accounts for less than 1% of all pediatric malignancies. However, it remains the most common malignant tumor of the liver in newborns. Less than 10% of hepatoblastoma cases are diagnosed in the neonatal period. The diagnosis can be very difficult due to the wide spectrum of presentation and differences in the size of the lesion at the time of detection either antenatally or during an infant's neonatal course. In this review, we describe the current investigations used to establish the diagnosis of congenital hepatoblastoma and the role of a nuclear red cell scan as an additional strategy in the evaluation of this malignant condition. The report uses two cases of neonatal hepatoblastoma to highlight both the clinical and pathologic findings, and the problems encountered in the evaluation of this disorder.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".