Resection of Amblyogenic Periocular Hemangiomas: Indications and Outcomes
Bibliographic record
Abstract
BACKGROUND: Periocular hemangiomas can induce irreversible amblyopia by multiple mechanisms: visual deprivation, refractive error (astigmatism and/or anisometropia), or strabismus. There is a subset of complicated periocular hemangiomas most effectively managed by resection. METHODS: The authors reviewed all patients from 1999 to 2008 with a periocular hemangioma that was either completely resected or debulked; whenever necessary, the levator apparatus was reinserted. Infants were included in the study if they had complete preoperative and postoperative ophthalmic assessments and there was more than a 6-month follow-up interval. RESULTS: Thirty-three children were treated with a mean operative age of 6.2 months and a mean follow-up interval of 48.2 months. The majority of hemangiomas were well-localized and caused corneal deformation with astigmatism or blepharoptosis. Intralesional or oral corticosteroid administration was attempted in almost one-half of patients. Postoperatively, the degree of astigmatism was statistically improved: from 3.0 diopters to 1.11 diopters (p < 0.001). When resection was performed in infants younger than 3 months (19 patients), astigmatism was less severe preoperatively and the correction was slightly greater postoperatively (from 2.76 diopters to 0.80 diopters). Resection performed after 3 months (14 patients) of age also resulted in improvement of astigmatism (from 3.39 diopters to 1.38 diopters). Reinsertion of the levator expansion was required in 34 percent of patients. CONCLUSIONS: The authors advocate early resection of a well-localized periocular hemangioma to prevent potentially irreversible amblyopia caused by either corneal deformation or blepharoptosis. The longer a complicated periocular hemangioma is observed, the greater the astigmatism and the less amenable it will be to correction following tumor removal.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".