MINIMAL GAS VITRECTOMY WITH SCLERAL BUCKLE TO MINIMIZE RETINAL DISPLACEMENT IN RHEGMATOGENOUS RETINAL DETACHMENT WITH INFERIOR BREAKS
Bibliographic record
Abstract
PURPOSE: To present a novel technique, minimal gas vitrectomy with scleral buckle, as a means of potentially minimizing retinal displacement compared with standard vitrectomy or vitrectomy/scleral buckle for select cases. METHODS: A patient with right macula-off retinal detachment and retinal breaks at 7 o'clock and 10 o'clock underwent a 23-gauge pars plana vitrectomy, localization, and cryopexy of the breaks along with an inferior temporal segmental scleral buckle. No air-fluid exchange was performed. Suturing of sclerotomies, anterior chamber paracentesis of 0.3 mL, and intravitreal injection of 0.6 mL pure sulfur hexafluoride were then performed. The patient was advised to perform the steamroller maneuver with initial face-down positioning for 6 hours. RESULTS: The patient achieved retinal reattachment, and postoperative wide-field fundus autofluorescence imaging demonstrated high-integrity retinal attachment with no retinal displacement. CONCLUSION: The minimal gas vitrectomy with scleral buckle technique has the potential to minimize retinal displacement in cases with inferior break(s) by using a small volume expansile gas tamponade and localized scleral buckle compared with standard vitrectomy or vitrectomy/scleral buckle with a full gas fill.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".