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Record W2400132677 · doi:10.3928/15428877-20071101-08

Light Flashbacks During Retinal Laser Photocoagulation Following Fluorescein Angiography

2007· article· en· W2400132677 on OpenAlexaffabout
Matthew C. Bujak, Mark S. Mandelcorn, J. A. Parker

Bibliographic record

VenueOphthalmic surgery, lasers & imaging retina · 2007
Typearticle
Languageen
FieldMedicine
TopicRetinal Diseases and Treatments
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsSerial dilutionFluoresceinAbsorption (acoustics)Fluorescein angiographyChemistryLaserOpticsRetinalFluorescenceMedicinePathologyBiochemistryPhysics

Abstract

fetched live from OpenAlex

<H4>BACKGROUND AND OBJECTIVE</H4> <P>Yellow light flashbacks can often be seen in cases of laser photocoagulation performed shortly after fluorescein angiography. To determine whether unblocked secondary emission from retained aqueous and vitreous fluorescein may be reaching the treating ophthalmologist, the absorption characteristics of serial dilutions of sodium fluorescein were studied at wavelengths similar to the output of the krypton laser.</P> <H4>MATERIALS AND METHODS</H4> <P>A Unicam sp500 series II visible spectrophotometer (Pye Unicam Ltd., Cambridge, UK) was used to measure fluorescein absorption at serial dilutions ranging from 100,000,000 to 100 ng/mL at 488, 518, 568, and 647 nm.</P> <H4>RESULTS</H4> <P>Absorption decreased with progressive dilution of fluorescein concentration and with increased wavelength. Blue (488 nm) and green (518 nm) light absorbed at all dilutions of fluorescein. Yellow light (568 nm) did not show any significant absorption below a concentration of 100,000 ng/mL and red light (647 nm) absorbed little below a concentration of 3,000,000 ng/mL.</P> <H4>CONCLUSIONS</H4> <P>Dilutions of fluorescein absorbed all commonly used laser wavelengths. There is concern that fluorescein absorption results in emission of light at 520 nm (range: 450 to 700 nm), which may not be blocked by the filters currently placed in fixed laser delivery systems.</P> <P>[<CITE>Ophthalmic Surg Lasers Imaging</CITE> 2007;38:491-496.]</P> <H4>AUTHORS</H4> <P>From Ophthalmology and Vision Sciences, University Health Network, Toronto, Ontario, Canada.</P> <P>Accepted for publication September 30, 2006.</P> <P>Presented as a poster at the Association for Research in Vision and Ophthalmology annual meeting, Fort Lauderdale, Florida, April 25-29, 2004.</P> <P>Address correspondence to Mark S. Mandelcorn, MD, Toronto Western Hospital, 399 Bathurst Street, 6th Floor, East Wing, Toronto, Ontario M5T 2S8, Canada.</P>

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.269
Teacher spread0.260 · 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

Citations1
Published2007
Admission routes2
Has abstractyes

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