MINIMAL INVASIVE DRAINAGE TECHNIQUE FOR LARGE EXPANDING SUBRETINAL GAS BUBBLE
Bibliographic record
Abstract
PURPOSE: To report a minimally invasive drainage technique for large expanding subretinal gas bubble and conduct a review of the literature. METHODS: Case report, with schematic diagrams and multimodal imaging including fundus photography and spectral domain optical coherence tomography. Controlled drainage of large subretinal gas bubble using a 30-gauge needle introduced through cryotherapy-treated area in office-based setting. RESULTS: Forty-year-old male patient presented with bullous rhegmatogenous retinal detachment and had gas inadvertently injected into the subretinal space during cryo-pneumatic retinopexy. After successful drainage of subretinal gas in clinic, 0.3cc of perfluoropropane (C3F8) gas was injected in different quadrants near the attached retina. The macula remained attached on immediate fundus examination. The gas bubbles of fish eggs coalesced into a single large bubble within 1 week. Spectral domain optical coherence tomography showed unremarkable foveal scans. After 45 days, the gas bubble completely disappeared, the retina remained attached, and vision in the treated eye was 20/20. CONCLUSION: To the best of our knowledge, this is the first case report of a large expanding gas bubble injected into the subretinal spaces being drained successfully by the described minimal invasive technique. Although it may offer a possible office-based approach to a rare complication, it is generally recommended that surgeons capable of dealing with its possible complications may attempt such technique when immediate vitrectomy is not accessible.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".