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Record W4411366221 · doi:10.58931/cect.2025.4152

Taking a Different Point of View: The Utility of Endoscopic Vitrectomy

2025· article· en· W4411366221 on OpenAlexaff
Flávio Rezende, Thiago Machado Nogueira

Bibliographic record

VenueCanadian Eye Care Today · 2025
Typearticle
Languageen
FieldMedicine
TopicRetinal and Macular Surgery
Canadian institutionsUniversité de MontréalHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsVitrectomyPoint (geometry)Computer scienceOptometryPsychologyOphthalmologyMedicineMathematicsGeometry

Abstract

fetched live from OpenAlex

Pars plana vitrectomy (PPV), introduced by Dr. Robert Machemer in the 1970s, revolutionized the treatment of vitreoretinal diseases. Technological advancements, such as the development of small-gauge instrumentation and wide-angle viewing systems, have since enhanced the precision and safety of these procedures. However, microscope-based visualization remains limited in scenarios involving limited anterior segment transparency, or when accessing anatomical areassuch as the anterior vitreous base, ciliary body, and retroirideal space. Endoscopic vitrectomy overcomes these limitations by offering direct intraocular imaging from the probe tip, bypassing anterior segment opacities, and yielding an unobstructed, distortion-free view of otherwise hidden structures (Figure 1). This technique allows for dynamic adjustment of perspective and orientation, enabling access to the peripheral retina, anterior vitreous base, and retroirideal structures not easily visualized with traditional top-down microscope-based views (Figure 2 and Table 1). Modern endoscopy systems combine miniaturized probes, high-resolution video capture, coaxial illumination, and enhanced manoeuvrability, making them valuable tools in both routine and complex cases. This review explores the evolving role of endoscopic vitrectomy by examining its principles, instrumentation, clinical applications, surgical techniques, limitations, and future directions—demonstrating how a shift in visual perspective can broaden the capabilities of modern vitreoretinal surgery.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

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

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 head0.011
GPT teacher head0.268
Teacher spread0.256 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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