Extensive serous ciliochoroidal detachments and macular subretinal and intraretinal fluid following laser peripheral iridotomy
Bibliographic record
Abstract
Purpose: We present multimodal imaging of an interesting case of a 78-year-old man who developed large ciliochoroidal detachments and macular subretinal and intraretinal fluid in the right eye following bilateral neodymium-doped yttrium aluminium garnet (Nd:YAG) laser peripheral iridotomies (LPIs). Observations: The ciliochoroidal detachments developed in the absence of documented post-procedure hypotony or intraocular pressure fluctuation. Ultrasound biomicroscopy (UBM) confirmed serous ciliochoroidal detachment. There are a small number of cases of ciliochoroidal detachments developing after peripheral iridotomy, but these have involved either argon laser, significant decrease in intraocular pressure, or underlying ocular conditions or structural abnormalities, such as Vogt-Koyanagi-Harada (VKH) or nanophthalmos. Conclusions: Serous ciliochoroidal detachments following the relatively non-invasive procedure of LPI are rare occurrences. We present our case in hopes of increasing awareness of this potential acute complication. We also discuss the diagnostic challenges of this unique case, the extensive work up, and current status of the patient.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".