UTILIZATION OF PREOPERATIVE MIDPERIPHERAL OPTICAL COHERENCE TOMOGRAPHY FOR TAILORED SURGICAL MANAGEMENT OF PROLIFERATIVE VITREORETINOPATHY
Bibliographic record
Abstract
PURPOSE: The purpose of this study was to report on the use of preoperative spectral domain optical coherence tomography to assess retinal pathology and guide the surgical approach to proliferative vitreoretinopathy. METHODS: A case report was discussed. RESULTS: A 70-year-old man developed proliferative vitreoretinopathy after surgical repair of a macula-off rhegmatogenous retinal detachment. In preparation for further surgery, inferior preretinal fibrosis and membranes were identified on preoperative optical coherence tomography. The patient underwent successful vitrectomy with peeling of the membranes resulting in markedly improved visual acuity. CONCLUSION: Widely available spectral domain optical coherence tomography can be used preoperatively to image the midperipheral retina and guide surgical decision-making in the management of proliferative vitreoretinopathy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".