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Record W4242842921 · doi:10.1017/cjn.2019.159

P.059 Brachial plexus enhancement in acute flaccid myelitis: A novel radiographic finding

2019· article· en· W4242842921 on OpenAlexaffvenue
SC Hammond, Momen Almomen, A Mineyko, A Pauranik

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2019
Typearticle
Languageen
FieldMedicine
TopicInfectious Diseases and Tuberculosis
Canadian institutionsCalgary Laboratory Services
Fundersnot available
KeywordsMedicineBrachial plexusMyelitisSpinal cordWeaknessRadiographyMuscle weaknessPathophysiologyRadiologySurgeryPathologyAnatomy

Abstract

fetched live from OpenAlex

Background: Acute flaccid myelitis (AFM) is a condition which causes acute paralysis in pediatric patients. Although awareness of AFM is increasing, the pathophysiology and full spectrum of clinical, biochemical, and radiographic features remain to be fully elucidated. Methods: We report a 5 year-old, previously healthy, male patient who presented with acute right upper extremity weakness following a two day history of fever, cough, and fatigue. The patient underwent extensive inflammatory and infectious workup in addition to MRI imaging of the brain, spinal cord, and bilateral brachial plexuses. Results: Infectious and inflammatory workup did not identify a causative agent. The patient was seen to have bilateral asymmetric (R>L) thickening and enhancement of the anterior horn cells of his cervical (C3-C7) spine, consistent with the spinal grey matter lesions previously described in patients with AFM. Enhancement of the corresponding anterior nerve rootlets and bilateral brachial plexuses was also seen. Conclusions: Patients with acute flaccid myelitis may demonstrate grey matter enhancement extending beyond the spinal cord to the peripheral nerves and plexuses, a radiographic finding which has not previously been published.

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 score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.021
GPT teacher head0.271
Teacher spread0.250 · 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 routes2
Has abstractyes

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