Embryonal tumor with abundant neuropil and true rosettes: a report of three cases of a rare tumor, with an unusual case showing rhabdomyoblastic and melanocytic differentiation
Bibliographic record
Abstract
Embryonal tumor with abundant neuropil and true rosettes (ETANTR) is an increasingly recognized entity that belongs to the family of embryonal tumors of the CNS. The authors present three cases of this rare tumor that were encountered at King Hussein Cancer Center, Amman, Jordan. Discussion of the clinicopathological findings is presented along with a recent literature review. Sixteen-, 57- and 30-month-old children presented with tumors located in the pineal gland, the right fronto- parieto-temporal region and the cerebellum, respectively. The findings of hypocellular neuropil as well as the characteristic ependymoblastic rosettes were seen. In addition the third case showed an abnormal combination of patterns including melanocytic and rhabdomyoblastic differentiation. The tumors stained positively for synaptophysin in the neuropil and small cell component, while the ependymoblastic rosettes stained for vimentin only. Epithelial membrane antigen and CD99 were negative in all components. One of the cases showed tetraploidy of chromosome 2. All cases exhibited an aggressive course. This is a rare and recently recognized tumor with dismal outcome, and reporting of additional new cases should help in gaining more knowledge about it.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".