Papillary Tumor of the Pineal Region Rare Pediatric CNS Tumor Case Series Treated in King Fahad Medical City (KFMC)
Bibliographic record
Abstract
The clinical behaviors, prognosis, and appropriate treatments of papillary tumors of the pineal region (PTPR) are not fully defined due to the rarity of these tumors. At diagnosis, PTPR may present with clinical symptoms, including headache with obstructive hydrocephalus, diplopia, vomiting, and lethargy, as well as neurological signs, including Argyll Robertson pupils and Parinaud's syndrome due to compression of the dorsal midbrain, specifically the periaqueductal region with horizontal nystagmus. Radiological assessment of pineal region lesions is challenging, with a wide range of potential differential diagnoses. PTPR typically presents as a heterogeneous, well-circumscribed mass in the pineal region, which might contain cystic areas, calcifications, hemorrhages, or protein accumulations. Here, we report three female pediatric patients with PTPR treated in King Fahad Medical City (KFMC) in Saudi Arabia. Histological and immunohistochemical diagnosis was confirmed by analysis of genome-wide DNA methylation profiles. This case series expands on the available reports on the clinical presentations of PTPR and provides important information on the responses to different treatment modalities.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".