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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 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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0020.007
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
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 head0.029
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; both teacher heads agree on what is shown here.

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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