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Field of Vision: A Manual and Atlas of Perimetry,

2004· article· en· W2068210713 on OpenAlexaff
Shaban Demirel

Bibliographic record

VenueOptometry and Vision Science · 2004
Typearticle
Languageen
FieldMedicine
TopicGlaucoma and retinal disorders
Canadian institutionsInternational Collaboration On Repair Discoveries
Fundersnot available
KeywordsVisual fieldOptometryPsychologyComputer scienceMedicineNeuroscience

Abstract

fetched live from OpenAlex

Field of Vision: A Manual and Atlas of Perimetry, Jason J.S. Barton and Michael Benatar. Totowa, New Jersey: Humana Press, 2003. Pages: 334. Price: $150.00. ISBN 1–58829–175–8. The authors of this book, one a neuro-ophthalmologist the other a neurologist, have set out to produce a special kind of text. They note in their preface that practitioners who have the most expertise using perimeters and performing visual field tests (optometrists and ophthalmologists) often do not have great strength in neurological assessment, and that most neurologists have little experience with perimetry, especially modern and automated methods. This offering is meant to act as a bridge by providing the ocular specialist with a firmer grasp of the subtleties of testing patients with neurological disease while providing the neurologist with the interpretive skills needed to apply automated methods to visual field assessment. The book is exceedingly well written, and it is obvious that the authors are handily equipped in working the English language. There is the occasional sprinkle of humor, but by no means enough to make the reader doubt the mastery the authors have over the difficult material. FIGUREFIGUREIn Field of Vision, Barton and Benatar have produced what the subtitle suggests, and that is to create a short manual of visual field testing combined with an atlas of real cases. As is pleasingly customary in texts of this type, the layout is logical, commencing with a short introduction to perimetry and the normal visual field. This section describes different types of perimetry, including a short discussion of more modern methods such as SWAP, motion perimetry, and frequency doubling perimetry. The next chapter deals with functional visual anatomy. This section is kept as brief as possible while also being as detailed as necessary to help the reader understand why lesions in different parts of the visual system cause such distinctive-looking visual field defects. The treatment commences in the retina and marches posteriorly through the visual system while bringing the relevant vascular supply and neighboring structures into the discussion. This section uses magnetic resonance images and anatomical dissections liberally, but none of it should be unmanageable for an optometrist or upper level optometry student. The next three chapters briefly describe the major classes of visual field examination: visual field examination at the bedside (confrontation methods), manual kinetic (Goldmann) perimetry, and automated perimetry (Humphrey, in this case). If I were to have a complaint about this book, it would be here. Such a complaint would not be about the book per se, but rather how much I think the average optometrist would find use for these chapters. Let’s face it, most optometrists do not do visual field examinations at the bedside unless their practice takes them to retirement communities, on a great many domiciliary visits, or to developing world situations. There is room for confrontation testing in optometric practice, but I would almost always prefer to use a perimeter if I had one handy. While manual kinetic perimtery remains a very flexible tool for visual field examination, this modality is most often used in practices that see a great many brain injured and low vision patients. The chapter on automated perimetry was also sound but perhaps lacked the detail needed by the average optometrist to really get all that they can out of this complex testing modality. The visual field atlas is incredibly extensive, with 120 individual cases. The first 100 cases start anteriorly in the visual system and, much like the second chapter of the manual, march posteriorly back to the striate cortex. All of the hallmark, visual field tell tale signs that we have come to expect from lesions in different parts of the visual system are depicted in real patient cases. Many of the cases have accompanying fundus or nerve head photos, magnetic resonance images, and sundry other clinical information to round them out into complete clinical vignettes. The final 20 cases are to be used as a test set to allow the reader to apply what they have just learned. Field of Vision is a beautifully produced textbook; I enjoyed reading it and working my way through all the cases in the atlas. The authors are to be commended for their work. I feel that it would be of most use to more specialized optometric practices, as outline above, while perhaps lacking a little of what mainstream optometry sees most. I would recommend it as a text in any sort of neuro-optometry course, for an intern or fellow who finds themselves in a disease rich environment (such as a VA hospital), or for the neurologically curious.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.444
Threshold uncertainty score0.226

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.008
GPT teacher head0.412
Teacher spread0.404 · 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

Citations2
Published2004
Admission routes1
Has abstractyes

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