Accuracy of scleral transillumination techniques to identify infant ciliary body for sclerostomy and intravitreal injections
Bibliographic record
Abstract
IMPORTANCE: There is variation in the literature for sclerotomy and intravitreal injection placement in young children, ranging from 0.5 to 3.0 mm from the limbus. We assess the accuracy of scleral transillumination to identify the ciliary body in infants for safe sclerotomy and intravitreal injections in young children. BACKGROUND: The study compares the perilimbal "dark band" seen on scleral transillumination (STI) with the ultrasound biomicroscopy (UBM), and compares these measurements with the current guidelines for sclerotomy in infants. DESIGN: Prospective case series in a tertiary paediatric hospital. PARTICIPANTS: Children aged ≤36 months undergoing general anaesthesia for eye procedures. METHODS: Scleral transillumination was performed to measure the perilimbal dark band. UBM of the ciliary body region was then performed, and correlated with transillumination findings. MAIN OUTCOME MEASURES: The midpoints of STI and UBM were compared to current cadaver-based guidelines to assess the safe point for sclerotomy. RESULTS: Twenty children were recruited, 36 STI and 35 UBM measurements were obtained. The posterior edge of the dark band had good correlation with the posterior border of the ciliary body. Transillumination and UBM correlated well for midpoint measurements. The midpoint of the dark band on transillumination was confirmed to be in the ciliary body by UBM in all cases. CONCLUSIONS AND RELEVANCE: The STI technique is a useful and fast technique to demonstrate the ciliary body. The midpoint of the dark band on STI correlates well with the UBM, and has a potential use for confirming safe-entry into the posterior segment if using current guidelines. The current cadaver-based paediatric guidelines safely avoid retinal injury.
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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 | 0.003 | 0.027 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".