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Record W2030941383 · doi:10.1055/s-0031-1287775

Combined Staged Endoscopic and Microsurgical Approach of a Third Ventricular Choroid Plexus Papilloma in an Infant

2011· article· en· W2030941383 on OpenAlexaff
Deven Reddy, Þorsteinn Gunnarsson, Katrin Scheinemann, John Provias, Sheila K. Singh

Bibliographic record

Venuemin - Minimally Invasive Neurosurgery · 2011
Typearticle
Languageen
FieldNeuroscience
TopicCerebrospinal fluid and hydrocephalus
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineChoroid plexus papillomaThird ventricleChoroid plexusHydrocephalusFourth ventricleVentricleCerebral Ventricle NeoplasmsSurgeryPapillomaEndoscopic third ventriculostomyEndoscopyNeurosurgeryRadiologyAnatomyMagnetic resonance imagingPathologyInternal medicineCentral nervous system

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.044
GPT teacher head0.245
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations19
Published2011
Admission routes1
Has abstractyes

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