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Record W2528080739 · doi:10.1097/wnp.0000000000000304

Peripheral Nerve Ultrasound Imaging Shows Enlargement of Peripheral Nerves Outside the Brachial Plexus in Neuralgic Amyotrophy

2016· article· en· W2528080739 on OpenAlexaff
Alon Abraham, Aaron Izenberg, Dubravka Dodig, Vera Bril, Ari Breiner

Bibliographic record

VenueJournal of Clinical Neurophysiology · 2016
Typearticle
Languageen
FieldMedicine
TopicPeripheral Nerve Disorders
Canadian institutionsSunnybrook Health Science CentreUniversity of TorontoHealth Sciences CentreUniversity Health Network
Fundersnot available
KeywordsBrachial plexusMedicinePeripheralForearmAnatomyAmyotrophyPresentation (obstetrics)WeaknessMagnetic resonance neurographyRadial nerveMedian nerveAtrophyPlexusUltrasoundPeripheral nervous systemPathologyMagnetic resonance imagingRadiologyCentral nervous systemInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE: Neuralgic amyotrophy is characterized by acute or subacute onset of shoulder and arm pain, followed by muscle atrophy and weakness, and variable sensory abnormalities. Historically, the site of inflammation has been localized to the brachial plexus, although the involvement of individual nerve branches has been well recognized. METHODS: We describe ultrasound findings in two cases with a clinical presentation suggestive of neuralgic amyotrophy, involving individual peripheral nerves, correlating with clinical and electrophysiological findings. RESULTS: In the first case, selective fusiform enlargement of the left radial nerve in the proximal forearm is shown, whereas in the second case, fusiform enlargement of the left median nerve in the antecubital fossa is shown. DISCUSSION: These cases confirm that the site of nerve inflammation may lie outside the brachial plexus, keeping with previous reports, and suggests that peripheral nerve ultrasound imaging might aid in the diagnosis of neuralgic amyotrophy and exclude mimicking conditions.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.034
GPT teacher head0.351
Teacher spread0.317 · 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 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

Citations22
Published2016
Admission routes1
Has abstractyes

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