A New Standardized Protocol for Linear and Volumetric Measurements in Osteo-Odonto-Keratoprosthesis
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".