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Record W4407078483 · doi:10.14740/jmc5092

Partial Oculomotor Nerve Palsy as the First Presentation of Extranodal Natural Killer/T-Cell Lymphoma

2025· article· en· W4407078483 on OpenAlexvenueno aff
Worapot Srimanan, Phawasutthi Keokajee

Bibliographic record

VenueJournal of Medical Cases · 2025
Typearticle
Languageen
FieldMedicine
TopicCNS Lymphoma Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLymphomaOculomotor nerve palsyNasal cavityPathologyMedial rectus muscleBiopsyMagnetic resonance imagingOrbit (dynamics)T-cell lymphomaExtraocular musclesPalsyRadiologySurgery

Abstract

fetched live from OpenAlex

Extranodal natural killer/T-cell lymphoma (ENKTL) is a rare and aggressive subtype of non-Hodgkin lymphoma, typically involving the nasal cavity. However, it can occasionally present in extranodal sites without nasal involvement, complicating diagnosis. This report describes a 78-year-old man who presented with progressive double vision and visual loss in the right eye over 3 weeks. Examination revealed partial oculomotor nerve palsy with pupillary involvement and signs of optic neuropathy, leading to a diagnosis of orbital apex syndrome. The nasopharyngeal evaluation showed no nasal lesions. Magnetic resonance imaging (MRI) identified diffuse enhancement of the extraocular muscles, intraorbital soft tissues, and optic nerve sheath in the right orbit. A right medial rectus muscle biopsy confirmed extranodal NK/T-cell lymphoma through immunohistochemical analysis. Chemotherapy was initiated, significantly improving both ophthalmoplegia and visual acuity. This case underscores the importance of comprehensive neuro-ophthalmic evaluation and biopsy for diagnosing ENKTL, especially in atypical presentations without nasal involvement. Early detection and treatment are critical for achieving favorable outcomes in this rare disease.

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)0.001
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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.015
GPT teacher head0.309
Teacher spread0.295 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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