Peripheral Primitive Neuroectodermal Tumor of the Cavernous Sinus: Case Report
Bibliographic record
Abstract
OBJECTIVE: Ewing sarcoma/peripheral primitive neuroectodermal tumors (pPNET family) are small, round, blue cell tumors that have a decided predilection for young patients and commonly arise in bone and soft tissue. We are reporting a rare case of cavernous sinus pPNET in a 48-year-old woman. CLINICAL PRESENTATION: A 48-year-old woman presented with headache, ipsilateral maxillary, and ophthalmic and oculomotor nerve palsies. Neuroimaging revealed a cavernous sinus lesion. INTERVENTION: The patient underwent debulking of the tumor, and the diagnosis of a pPNET was made based on histological, immunohistochemical, and molecular genetics (EWS-FLI1 fusion gene) findings. Bone scans, bone marrow aspiration, and biopsy and chest computed tomographic scans showed no evidence of systemic involvement. The patient had adjuvant treatment with radiotherapy and chemotherapy. After 14 months, the patient had no neurological deficits, and neuroimaging showed stable disease, although some chemotherapy complications occurred. CONCLUSION: This is a case of cavernous sinus pPNET in a 48-year-old woman, in whom the diagnosis is supported by the presence of EWS-FLI1 fusion gene. This seems to be the first reported case of a cavernous sinus pPNET confirmed by molecular genetic analysis.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".