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Record W2923679287 · doi:10.14740/jmc.v10i4.3224

Epidermoid Intramedullary Cyst: A Rare Case Report

2019· article· en· W2923679287 on OpenAlexvenueno aff
Antigona Kabashi, Ilir Ahmetgjekaj, Kreshnike Dedushi, Serbeze Kabashi, Jeton Shatri

Bibliographic record

VenueJournal of Medical Cases · 2019
Typearticle
Languageen
FieldMedicine
TopicTeratomas and Epidermoid Cysts
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEpidermoid cystIntramedullary rodMagnetic resonance imagingSpinal cordRadiologyCystCordSurgery

Abstract

fetched live from OpenAlex

Epidermoid cysts are tumors that ocur in most parts of the body and are often treated by neurosurgeons, but intramedullary localizations of epidermoid cysts are very rare. The incidence in adults is lower than 1% and in children lower than 3%.We report a case of a 27-year-old patient presenting with thoracic spinal cord compression syndrome (T11-12). The magnetic resonance imaging (MRI) showed an intramedullary cystic mass. It demonstrated low signal intensity on T1-weighted sequence and high signal intensity on T2-weighted sequences, with minimal peripheral enhancement following intravenous administration of gadoteric acid. After surgical removal of the tumor, the pathology confirmed the radiological diagnosis of spinal epidermoid cyst. MRI reduces the delay in diagnosis of spinal cord tumors but should be guided by clinical judgment. J Med Cases. 2019;10(3):67-71 doi: https://doi.org/10.14740/jmc3224

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 score0.007
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.003
Science and technology studies0.0040.003
Scholarly communication0.0030.003
Open science0.0020.003
Research integrity0.0070.004
Insufficient payload (model declined to judge)0.0030.002

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 head0.020
GPT teacher head0.318
Teacher spread0.298 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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