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Record W2130939151 · doi:10.1017/s0317167100012567

Pineal Apoplexy: Imaging Diagnosis and Follow-up of Three New Cases

2011· article· en· W2130939151 on OpenAlexaffvenue
Archana Asundi, Donatella Tampieri, Denis Melançon, Rolando F. Del Maestro, Kevin Petrecca, Maria delPilar Cortés

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2011
Typearticle
Languageen
FieldMedicine
TopicVascular Malformations Diagnosis and Treatment
Canadian institutionsMontreal Neurological Institute and HospitalMcGill University
Fundersnot available
KeywordsMedicineRadiologyNuclear medicine

Abstract

fetched live from OpenAlex

Cystic lesions on the pineal gland are a common phenomenon, being found on up to 40% of autopsy cases 1 .However, symptomatology as a result of these cysts is considerably rare.Mukherjee, Banerji and Sharma identified 74 cases in the literature 1 .Symptomatic pineal cysts present as one of three syndromes identified by Wisoff and Epstein 2 : (1) paroxysmal headache with gaze paresis, (2) chronic headache, gaze paresis, papilledema and hydrocephalus, and (3) pineal apoplexy with acute hydrocephalus.Pineal apoplexy is understood as an acute presentation of hemorrhage within a pineal cystic lesion.Of the three syndromes pineal apoplexy is the rarest and while poorly understood, can have the most catastrophic of consequences, resulting in sudden death 3 .Herein we report three cases with clinical and imaging findings suggestive of pineal gland apoplexy in the context of a discussion of the relevant literature.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.002
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.082
GPT teacher head0.280
Teacher spread0.198 · 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 designCase report
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

Citations7
Published2011
Admission routes2
Has abstractyes

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