Congenital Calvarial Hemangioma
Bibliographic record
Abstract
OBJECTIVES: The authors describe a case of congenital calvarial hemangioma successfully managed using propranolol therapy. Presenting symptoms, radiological and pathological features, differential diagnosis, and management of this rare congenital mass are described. CASE PRESENTATION: A 2-year-old boy presented with a 1-year history of a growing right parietal skull mass. No obvious etiology was apparent. No focal neurological deficits or associated craniofacial anomalies were identified. Plain film imaging demonstrated focal thickening of the right parietal bone with internal trabeculations in a sunburst appearance. Computed tomography (CT) scan showed bone thickening with coarsening of the bony trabeculae, minor irregularity of the outer table, unaffected inner table, and no evidence of aggressive features. A diagnostic biopsy of the lesion was performed in the operating room. Microscopic examination was consistent with hemangioma. Based on histological and radiological features of the lesion, it was identified as a cavernous hemangioma. Medical treatment utilizing propranolol was initiated for over 3 years with interval reduction in the lesion size. MRI head following treatment with propranolol demonstrated reduction of the mass compared to preoperative imaging. CONCLUSIONS: Although a rare entity, it is important to consider congenital calvarial hemangioma in the differential diagnosis of slow growing skull lesions due to the possibility of complications as a result of the hemangioma's intracranial extension, and the potential for treatment. En bloc resection has classically been described as a treatment for such lesions, although our case demonstrates that medical treatment with propranolol therapy may be appropriate in certain situations.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.001 | 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 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".