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Record W4414370439 · doi:10.1093/braincomms/fcaf354

Diagnosis and etiologic classification of optic tract lesions

2025· article· en· W4414370439 on OpenAlexaff
Natalie Chen, Heather M. McDonald, Jonathan A. Micieli, Edward Margolin

Bibliographic record

VenueBrain Communications · 2025
Typearticle
Languageen
FieldMedicine
TopicDrug-Induced Ocular Toxicity
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsOptic tractOptic nerveVisual fieldOptic discOptical coherence tomographyOptic canalAtrophyLesion

Abstract

fetched live from OpenAlex

Abstract Existing literature regarding optic tract syndrome, which arises from lesions affecting the optic tract(s), is limited. The objective of this retrospective cohort study was to elucidate the diverse clinical and imaging manifestations of the optic tract syndrome relative to the causative lesion. The study population comprised of all patients with optic tract syndrome who were seen at two tertiary neuro-ophthalmology practices from 2014 to 2024. Inclusion criteria were (i) signs associated with optic tract syndrome (homonymous hemianopia and/or relative afferent pupillary defect and/or characteristic findings on peripapillary optical coherence tomography or ganglion cell analysis) and (ii) radiographically confirmed optic tract lesion. Patient records were ascertained through medical databases and reviewed. Statistical analysis was performed to identify relationships between clinical/imaging manifestations and lesion type. Fifty-six patients with optic tract syndrome were identified. The mean age was 49.4 ± 16.7 years, and 37 were female patients. Aetiologies included space-occupying lesions (n = 25), demyelination (n = 11), ischaemia/haemorrhage (n = 9), non-specific optic tract atrophy (n = 8), perinatal insult (n = 2) and trauma (n = 1). At presentation, visual field defects were observed in 98% of patients (n = 55). Of these patients, 20% (n = 11) demonstrated complete field loss while 80% (n = 44) demonstrated partial field loss, of which 95% (n = 42) were incongruent and 5% (n = 2) were congruent. Of the 40 patients with homonymous hemianopia, 78% (n = 31) demonstrated incongruous defects. Of the 54 patients with peripapillary optical coherence tomography findings, 41% (n = 22) had contralateral band atrophy and ipsilateral hourglass atrophy. Of the 51 patients with available data, 29% (n = 15) had contralateral relative afferent pupillary defect. Patients with demyelinating lesions were most likely to present within 2 weeks of symptom onset (P = 0.0180) and least likely to exhibit band/hourglass atrophy (P = 0.0112). In contrast to previous studies that found a significant percentage of optic tract lesions to produce congruent homonymous hemianopia, most patients in this study demonstrated incongruent homonymous hemianopia. As such, optic tract lesions should be considered in patients with incomplete, incongruous and subtle homonymous defects. Peripapillary optical coherence tomography should be examined for the presence of band and hourglass atrophy in these patients but may be less commonly observed, especially in those with a demyelinating aetiology.

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)0.001
metaresearch head score (Gemma)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.111
GPT teacher head0.386
Teacher spread0.275 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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