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Record W1412190824 · doi:10.1016/j.inat.2015.08.001

Intracranial arteriovenous malformation and dural arteriovenous fistula embedded in a meningioma—case report and review of the literature

2015· article· en· W1412190824 on OpenAlexaff
Moujahed Labidi, G Lapointe

Bibliographic record

VenueInterdisciplinary Neurosurgery · 2015
Typearticle
Languageen
FieldMedicine
TopicVascular Malformations Diagnosis and Treatment
Canadian institutionsHôpital de l'Enfant-Jésus
Fundersnot available
KeywordsMedicineArteriovenous fistulaMiddle meningeal arteryArteriovenous malformationMeningiomaCraniotomyIntracranial Arteriovenous MalformationsRadiologyHeadachesLesionVascular malformationAngiographyCerebral angiographyFistulaVeinPathologySurgeryEmbolization

Abstract

fetched live from OpenAlex

The association between a vascular malformation and a meningioma is a rare occurrence intracranially. We document the case of a 59-year-old man who presented with a right parietal extra-axial mass with headaches and seizures . Hemangiopericytoma was initially suspected on the basis of an unusual vascular pattern and rapid lesion progression. Angiography revealed abnormal vessels and an early draining vein associated with the mass. Arterial feeders were primarily from the middle cerebral artery with discrete contribution from both middle meningeal arteries . Craniotomy and Simpson 0 resection of the lesion were undertaken and revealed the coexistence of a dural based tumor with an AVM and a dural arteriovenous fistula (dAVF). Histology and immunohistochemistry were consistent with the diagnosis of meningioma and associated AVM . This case represents the eleventh report of an AVM associated with a meningioma, among which only 6 were contiguous. Such cases illustrate the pathogenic roles of angiogenesis and inflammation that is common to AVMs, dAVF and meningiomas.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.003
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.016
GPT teacher head0.286
Teacher spread0.269 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations2
Published2015
Admission routes1
Has abstractyes

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