Surgical management of large scalp infantile hemangiomas
Bibliographic record
Abstract
BACKGROUND: Infantile Hemangiomas (IH) are the most common benign tumor of infancy, occurring in over 10% of newborns. While most IHs involute and never require intervention, some scalp IHs may cause severe cosmetic deformity and threaten tissue integrity that requires surgical excision. CASE DESCRIPTION: We present our experience with two infants who presented with large scalp IH. After vascular imaging, the patients underwent surgical resection of the IH and primary wound closure with excellent cosmetic outcome. We detail the surgical management of these cases and review the relevant literature. CONCLUSION: In some cases the IHs leave behind fibro-fatty residuum causing contour deformity. Surgery is often required for very large lesions causing extensive anatomical and/or functional disruption. The goal of surgical intervention is to restore normal anatomic contour and shape while minimizing the size of the permanent scar.
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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 | 0.000 |
| 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) | 0.002 | 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 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".