Biliary Rhabdomyosarcoma in an Infant Male With Neurofibromatosis Type 1
Bibliographic record
Abstract
Different types of malignancies can be seen in patients with neurofibromatosis type 1 (NF-1). Herein we present a rare combination of NF-1 and biliary rhabdomyosarcoma in a male infant. An 11-month-old boy, who was recently diagnosed with NF-1, presented to the outpatient clinic with a 3-month history of prolonged jaundice, and failure to thrive. Clinical examination showed >20 café au let spots distributed mainly over the abdominal trunk. Hepatomegaly (4 cm below the costal margin) was additionally observed. His father was diagnosed with NF-1. Radiologic imaging studies showed a 6×5×5 cm in diameter cystic mass with multiple septations in the segment 4A of the liver. Surgical excision of the left hepatic lobe followed by hepatojejunostomy was further performed. Histopathology examination showed embryonal type rhabdomyosarcoma originating from the biliary duct. Chemotherapy regimen consisting of cyclophosphamide, actinomycin D, and vincristine, and radiotherapy were then initiated. This treatment led to a significant improvement in the patient's clinical status, and radiologic finding portrayed attainment of complete resolution. He is still in complete remission without any sequelae for 8 years.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".