Papillary Tumor of the Pineal Region Treated With Surgery and Postoperative Radiotherapy: A Case Report
Bibliographic record
Abstract
Papillary tumors of the pineal region (PTPR) are extremely rare malignancies that make up less than 0.1% of primary brain tumors. They are usually treated with surgery and adjuvant tumor bed radiotherapy (RT). We review the case of a man in his late 60s who presented with two weeks of confusion and ataxia. Imaging the head with computed tomography (CT) and magnetic resonance imaging (MRI) showed hydrocephalus and a 2 cm pineal region mass. We review the presenting symptoms, investigations, and differential diagnosis for patients with pineal region masses. The pathological features, initial hydrocephalus management, and curative treatment of his tumor with surgery and RT are discussed. We also review the PTPR literature, including prognostic features and the evidence for treatment modalities, and report adjuvant radiotherapy treatment planning volumes. The patient is symptom-free and without evidence of recurrent disease on follow-up MRI 18 months after treatment. PTPR has very high recurrence rates following treatment; less than 20% of patients have local control at 10 years, and further research is needed to find more effective interventions and improve patient outcomes.
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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 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| 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".