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Record W4416355853 · doi:10.1097/ico.0000000000004034

A New Standardized Protocol for Linear and Volumetric Measurements in Osteo-Odonto-Keratoprosthesis

2025· article· en· W4416355853 on OpenAlexaff
June Artaechevarria Artieda, Tanya Trinh, Luke C. Northey, Shannon Webber, Darryl Heaney, Colin Siu, Georges Hazan, Gregory Moloney

Bibliographic record

VenueCornea · 2025
Typearticle
Languageen
FieldMedicine
TopicCorneal Surgery and Treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsProtocol (science)LaminaVolume (thermodynamics)Linear relationship

Abstract

fetched live from OpenAlex

PURPOSE: To evaluate the use of standardized computerized tomography (CT) scan protocols for monitoring osteo-odonto laminas in patients undergoing modified osteo-odonto-keratoprosthesis (OOKP). METHODS: This retrospective study included patients at Sydney Eye Hospital who underwent modified OOKP with temporalis fascial flap incorporation between 2016 and 2019. CT scans with linear and volumetric measurements monitored the lamina for resorption. Linear measurements on the frontal and nasal faces of the lamina were taken, and volumetric changes were analyzed using Vitrea software. Clinical outcomes, including visual acuity and lamina stability, were evaluated during follow-up. RESULTS: Four eyes from 4 patients were included with a mean follow-up of 80 months (range: 64-90 months). All patients achieved best-corrected visual acuity of 0.2 logarithm of the minimum angle resolution. Focal lamina resorption was detected in 1 patient at 3 years, requiring surgical repair. Volumetric analysis showed a decrease in lamina volume in 3 patients, with most reduction occurring within the first year (-5.35% to -13.04%). After that, volume stabilized. One patient showed no resorption at the final follow-up. No major complications were observed. CONCLUSIONS: The standardized CT scan protocol with linear and volumetric analysis provides an effective method for the monitorization of the osteo-odonto laminas and facilitates early detection of lamina resorption in patients with OOKP.

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: none
Teacher disagreement score0.293
Threshold uncertainty score0.531

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 studies0.0000.000
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 head0.070
GPT teacher head0.373
Teacher spread0.302 · 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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