Giant melanotic neuroectodermal tumor of infancy (melanotic progonoma) of the head and neck: report of a malignant case
Bibliographic record
Abstract
Melanotic neuroectodermal tumor of infancy is a rare congenital pigmented neoplasm of neural crest origin, locally aggressive, growing rapidly and developing during the 1st year of life. It most commonly arises from the maxilla, cranial vault, and mandible. Occasionally, it exhibits malignant behavior with local lymph nodes involvement. Cases misdiagnosed and left untreated for a long time can present challenges due to the tumor mass and infiltration. In these cases, adjuvant chemotherapy can be extremely helpful before radical excision. Authors of this report describe a 4-year-old boy from a developing country who was referred to their hospital with an ulcerated bulging lesion in the midline/right parietooccipital region, extending to the right laterocervical and parotid regions, resulting in significant craniofacial deformation. Magnetic resonance imaging of the brain revealed a highly enhancing tumor with intracranial and extracranial development extending mainly at the level of the right parietooccipital region, with lytic and hypertrophic alterations of the skull. The patient was managed with neoadjuvant and adjuvant chemotherapy and radically resective surgery on metastatic lymph nodes and the primary tumor of the skull. Scheduled radiotherapy was not performed, according to the parents' wishes. The patient returned to his native country where the lesion recurred, and he ultimately died approximately 10 months after the end of the treatment. The literature indicates that tumor removal alone has been the treatment of choice in most isolated cases, but in cases of highly advanced tumor with involvement of the skull and cervical lymph nodes, it is preferable to proceed with preoperative chemotherapy with the aim of reducing the tumor volume, allowing better technical conditions for complete surgical removal, and decreasing the risk of local recurrence or metastasis.
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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 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 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".