Non‐involuting congenital hemangiomas (<scp>NICH</scp>) with postnatal atypical growth: A case series
Bibliographic record
Abstract
BACKGROUND: Non-involuting congenital hemangiomas (NICH) are fully formed vascular tumors at birth, with a distinctive clinical, radiologic, and histopathological profile, and classically lack expansion or involution over time. We describe a series of NICH cases with atypical postnatal growth. METHODS: The authors retrospectively analyzed all NICH cases diagnosed from 2007 to 2017. We reviewed charts and photographic databases from our Vascular Anomalies Clinic. We included in the study all NICH with an atypical postnatal growth. Clinical data, imaging, and histopathology were analyzed. RESULTS: Eighty cases of NICH were identified. Nine presented with atypical postnatal growth after a stable period, at ages from 2 to 10 years (mean: 5.3 years). Two patients had associated pain; 5 patients showed new red papules on the surface of the lesion; 2 reported bleeding from the papules; and 1 developed a pyogenic granuloma. All patients had Doppler ultrasound and/or MRI compatible with NICH, and a confirmatory biopsy was performed in 4 cases. In treatment, 2 patients received endovascular embolization, and one required further surgery. CONCLUSIONS: Non-involuting congenital hemangiomas (NICH) may develop significant postnatal growth over time (10% in our series), requiring closer follow-up for longer periods. The development of red papules, pyogenic granulomas, and superficial bleeding may be observed. Since this is a small series, we were not able to establish risk factors for NICH with postnatal growth.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".