Regenerative nodule mimicking hepatocellular carcinoma in a cirrhotic child due to hepatitis B: An imaging dilemma
Bibliographic record
Abstract
Viral hepatitis B, post-hepatitic cirrhosis and hepatocellular carcinoma (HCC) is the classical sequence of events in hepatitis B virus (HBV) infected children and serum Alpha-fetoprotein (AFP) and ultrasound (USG) screening is recommended during follow up. We present a 13-yr-old girl with cirrhosis related to chronic HBV infection with normal AFP level and a 4 cm mass appearance by USG. Contrast spiral evaluation computed tomography (CT) study demonstrated a single mass located at 8th segment of the liver. Pre-contrast CT and portal venous phase studies showed heterogeneous liver parenchyma without mass appearance. HCC was suspected based on strong arterial enhancement. Two mediastinal lymphadenopathies, 1 cm under the xyphoid and 2 cm above the pericardium, were detected by thorax CT. Mediastinal exploration was undertaken with living related liver transplant donor in a second operating room. She was transplanted with the right lobe of her ABO compatible mother after evaluation of the lymph nodes revealed reactive histology by frozen section. Histologic evaluation of the explant liver documented cirrhosis with a cirrhotic nodule without histologic malignant evidence. False negative results from screening methods are familiar in the literature; however false positivity of a contrast CT study is rare. The significance of screening methods is discussed.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".