Lymphangiosarcoma Complicating Extensive Congenital Mixed Vascular Malformations
Bibliographic record
Abstract
Pediatric hepatic angiosarcoma is a very rare malignant vascular tumor. A few cases have shown pediatric hepatic angiosarcoma occurring on a background of preexisting vascular lesions. We report the case of a newborn girl who presented extensive limbs and upper trunk cutaneous mixed vascular malformations at birth. These malformations were associated with thrombocytopenia. Cutaneous biopsies revealed complex vascular malformations with a significant lymphatic component. Compressive body suit therapy led to regression of the limbs' cutaneous vascular malformations. At the age of 9 months, the patient presented multiple heterogeneous hepatosplenic nodules. Aggressive treatment with prednisone, vincristine, and hepatosplenic embolizations resulted in initial improvement of the hepatosplenic lesions for few months, followed by an increase of the lesions with failure of response to treatment despite adding alpha-interferon-2b to treatment. The patient died at the age of 19 months. The autopsy's pathological examination revealed a hepatic-based angiosarcoma with plurimetastatic dissemination to the spleen, lungs, peritoneum, pleura, mesenteric linings as well as the serosa of the stomach and small intestine. Multiple cutaneous and visceral complex capillaro-lymphatico-venous malformations were also identified. We hypothesize that these multiple extensive mixed vascular malformations were associated with chronic lymphedema which probably predisposed to the development of the angiosarcoma in our patient.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".