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Record W4408808983 · doi:10.1016/j.jcjo.2025.02.019

Magnetic resonance imaging in preseptal ferromagnetic foreign bodies

2025· article· en· W4408808983 on OpenAlexvenueno aff
T. Ma, Khizar Rana, Jessica Y. Tong, Katja Ullrich, Sandy Patel, Dinesh Selva

Bibliographic record

VenueCanadian Journal of Ophthalmology · 2025
Typearticle
Languageen
FieldMedicine
TopicTraumatic Ocular and Foreign Body Injuries
Canadian institutionsnot available
Fundersnot available
KeywordsMagnetic resonance imagingForeign BodiesNuclear magnetic resonancePhysicsMedicineRadiologySurgery

Abstract

fetched live from OpenAlex

OBJECTIVE: To review the literature on safety of magnetic resonance imaging (MRI) in patients with preseptal ferromagnetic foreign bodies. METHODS: We describe 3 cases of MRI in patients with preseptal ferromagnetic foreign bodies (FFBs) from our institution. RESULTS: The FFBs were all preseptal, adjacent to the medial canthus (n = 2) and lateral canthus (n = 1). None of the patients had any ocular complications post-MRI. The literature review identified an additional 7 cases with intraocular and preseptal FFBs that underwent MRI. The FFBs ranged in size from 1.0 mm to 3.5 mm. The FFBs were intraocular (n = 6), or preseptal (n = 1). The MRI field strength ranged from 0.35 T to 1.5 T. Five (83.3%) of the patients with intraocular FFBs had ocular complications, which included hyphema (n = 2), cataract (n = 3), vitreous haemorrhage (n = 1), and corneal scar (n = 1). The patient with preseptal FFB did not have post-MRI complications. CONCLUSIONS: There is some evidence to suggest that patients with preseptal FFBs may be less likely to experience complications post-MRI compared to intraocular FFBs. Various factors affect the safety of MRIs, including FFB location, size, proximity to visually-significant structures, and MRI field strength.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.304
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.277
Teacher spread0.262 · 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 teacher head, not a consensus.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueCanadian Journal of OphthalmologySame topicTraumatic Ocular and Foreign Body InjuriesFrench-language works237,207