Combined Staged Endoscopic and Microsurgical Approach of a Third Ventricular Choroid Plexus Papilloma in an Infant
Bibliographic record
Abstract
BACKGROUND: Choroid plexus papillomas of the third ventricle in newborn infants are quite rare and present a significant surgical challenge. This case report illustrates the utility of endoscopy in facilitating tumor resection. PATIENT: A 6-week-old boy, born prematurely at a gestational age of 35 weeks, presented with hydrocephalus secondary to a choroid plexus papilloma in the third ventricle, extending to the aqueduct of Sylvius and into the fourth ventricle. On admission, he was found to have clinical signs of raised intracranial pressure. MRI revealed a homogeneously enhancing mass primarily in the third ventricle. The initial surgical procedure was insertion of a ventriculo-peritoneal shunt, followed by an endoscopic biopsy, which allowed the surgeons to mobilize the tumor into the right lateral ventricle. This facilitated a subsequent transcortical approach to completely remove the tumour. RESULT AND CONCLUSION: The authors present a case of choroid plexus papilloma in an uncommon location with a unique surgical approach and a successful outcome with no neurological deficits. We detail our surgical approach and the complexity of approaching a tumor located in the third ventricle of an infant.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".