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Aggressive Intramedullary Melanotic Schwannoma: Case Report

2004· review· en· W1971098099 on OpenAlexafffund
Carlo Santaguida, Abdulrahman J. Sabbagh, Marie‐Christine Guiot, Rolando F. Del Maestro

Bibliographic record

VenueNeurosurgery · 2004
Typereview
Languageen
FieldMedicine
TopicNeurofibromatosis and Schwannoma Cases
Canadian institutionsMcGill UniversityMontreal Neurological Institute and Hospital
FundersKillam TrustsCore Research for Evolutional Science and TechnologyMcGill University
KeywordsMedicineIntramedullary rodSchwannomaMagnetic resonance imagingLesionRadiation therapyPathologicalSurgerySpinal cordRadiologyPresentation (obstetrics)Pathology

Abstract

fetched live from OpenAlex

OBJECTIVE AND IMPORTANCE: Intramedullary melanotic schwannomas are very rare lesions; only four cases have been reported previously. We describe a patient with an intramedullary melanotic schwannoma that had a more aggressive course than those reported in the literature, and we review the theories regarding the cause of these lesions. CLINICAL PRESENTATION: A 35-year-old man presented with neck stiffness and paraesthesia extending down his right arm upon neck extension. A magnetic resonance imaging scan revealed an intramedullary lesion extending from C4 to C5. INTERVENTION: Gross total resection of the mass was performed, and pathological characteristics were consistent with a melanotic schwannoma. Two years after resection the tumor recurred, and the patient was treated with radiation therapy. The tumor progressed 2 years after radiotherapy, and at repeat resection, multiple pigmented foci were present on the surface of the spinal cord and dura consistent with metastatic seeding. CONCLUSION: In a patient with intramedullary melanotic schwannoma with an unusually aggressive course, careful follow-up may be essential.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.442
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.051
GPT teacher head0.330
Teacher spread0.278 · 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 designCase report
Domainnot available
GenreReview

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

Citations40
Published2004
Admission routes2
Has abstractyes

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