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Record W3100196020 · doi:10.55038/kvg02786

Epidural Space Cervical Spine: Review of Traumatic and Non-Traumatic Epidural Pathologies

2025· article· en· W3100196020 on OpenAlexaff
Yasser Noorelahi, Ahmed Alharthy, Arwa Badeeb

Bibliographic record

VenueSaudi Journal of Radiology · 2025
Typearticle
Languageen
FieldEngineering
TopicMedical Imaging and Analysis
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsEpidural spaceMedicineCervical spineSurgeryTraumatic injuryEpidural abscessTraumatic brain injuryAnesthesia

Abstract

fetched live from OpenAlex

The spinal epidural space located between the dura matter and the vertebral bodies can be affected by various pathologies. Understanding the radiological anatomy and clinical relevance of this space is of crucial importance for diagnostic and interventional therapeutic purposes. The cervical epidural space is particularly important due to its proximity to the cervical spinal cord and exiting nerve roots, where early detection of pathologies can prevent catastrophic neurological complications. In this concise review, we highlight the anatomy of the cervical epidural space and its boundaries and content as well as normal variants that mimic pathology on imaging. We discuss common etiologies that affect this space including traumatic and non-traumatic causes and their radiological appearance. Furthermore, the utility of computed tomography (CT) and magnetic resonance imaging (MRI) will be highlighted. Among the most common diseases affecting the cervical epidural space anteriorly is herniated discs and posteriorly facet degenerative changes. Infections and neoplastic processes integral to the cervical epidural space will be discussed in detail.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.625
Threshold uncertainty score0.427

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.011
GPT teacher head0.273
Teacher spread0.262 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2025
Admission routes1
Has abstractyes

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