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Is the Ex-PRESS Glaucoma Shunt Magnetic Resonance Imaging Safe?

2010· article· en· W188080416 on OpenAlexaff
Noa Geffen, Graham E. Trope, Tariq Alasbali, David Salonen, Adrian P. Crowley, Yvonne M. Buys

Bibliographic record

VenueJournal of Glaucoma · 2010
Typearticle
Languageen
FieldMedicine
TopicGlaucoma and retinal disorders
Canadian institutionsToronto Western HospitalUniversity of Toronto
Fundersnot available
KeywordsGlaucomaScleraMedicineMagnetic resonance imagingShunt (medical)OphthalmologyCadaverSurgeryRadiology

Abstract

fetched live from OpenAlex

INTRODUCTION: Ex-PRESS mini glaucoma shunt is a miniature, stainless steel, nonvalved device used for the treatment of glaucoma. The purpose of this study was to evaluate the safety of the Ex-PRESS glaucoma shunt during magnetic resonance (MR) imaging. METHODS: The effect of a magnetic field on the Ex-PRESS glaucoma shunt was evaluated in 4 scenarios. (1) Wet dish test: the device was placed floating in a dish filled with water and exposed to magnetic fields of 1.5 and 3 Tesla for 30 seconds. (2) Dry dish test: the device was placed on a dry dish and exposed to a magnetic field of 3 Tesla MR for 30 seconds. (3) Intracameral test: the device was floating freely in the anterior chamber of a human cadaver eye and was exposed to a magnetic field of 3 Tesla MR. (4) Scleral fixation test: the device was implanted through the sclera of a human cadaver eye and was exposed to a magnetic field of 3 Tesla MR. RESULTS: During the wet dish test the Ex-PRESS glaucoma shunt immediately moved across the dish with both 1.5 and 3 Tesla MR. No movements were noted during the dry dish test, intracameral test, or the scleral fixation test. CONCLUSIONS: Although the Ex-PRESS glaucoma shunt is influenced by magnetic field forces, it is likely MR of up to 3 Tesla is safe due to resistance provided by the ocular tissue.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.253
Threshold uncertainty score0.792

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.008
GPT teacher head0.253
Teacher spread0.244 · 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.

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

Citations24
Published2010
Admission routes1
Has abstractyes

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