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Record W2811118689 · doi:10.1017/cjn.2018.197

P.095 Holey Spinal Cord - A case of spinal cord stroke secondary to fibrocartilaginous embolism

2018· article· en· W2811118689 on OpenAlexaffvenue
Sanchea Wasyliw, Paul Masiowski

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2018
Typearticle
Languageen
FieldEngineering
TopicMedical Imaging and Analysis
Canadian institutionsSaskatoon Medical Imaging
Fundersnot available
KeywordsMedicineSpinal cordWeaknessMyelopathyTransverse myelitisSpasticityMagnetic resonance imagingSurgeryRadiologyPhysical medicine and rehabilitation

Abstract

fetched live from OpenAlex

Background: Fibrocartilaginous embolism (FCE) is a rare reported cause of spinal cord infarction and likely underdiagnosed due to clinical unfamiliarity. FCE can present after a mild trauma and is characterized by back or neck pain along and a rapidly progressive myelopathy. We present a case of FCE and discuss how this clinical entity can break the typical rules of stroke. Methods: Case presentation Results: An otherwise healthy, 56-year-old professional sports coach presented a couple day history of progressive leg paresthesias and mild back pain, followed by unsteady gait and then inability to void. The left leg demonstrated mild weakness, hyperreflexivity, ataxia and an upgoing plantar response. The right leg became spastic and he then developed bilateral impairment of vibration and proprioception at the toes. An initial limited MRI lumbar spine was negative. A repeat MRI spine showed mild diffusion restriction of T10-11 and T11-12 and evidence of a bone infarct L2. He was diagnosed with a spinal cord infarct secondary to FCE. Conclusions: FCE should be considered in the differential for acute myelopathy. It can present with a progressive nature like transverse myelitis and MRI may be non-diagnostic. As more cases are being reported, FCE is becoming better defined and recognized.

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)0.002
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 score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0060.003
Insufficient payload (model declined to judge)0.0100.002

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 head0.029
GPT teacher head0.283
Teacher spread0.254 · 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
Published2018
Admission routes2
Has abstractyes

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