Adult Primary Retroperitoneal Lymphangioma: Updated Facts
Bibliographic record
Abstract
Lymphangioma is a rare, benign tumor of the lymphatic system. It is believed to be a congenital malformation, when part of the lymphatic channels fail to connect to the main lymphatic system. Lymphangioma is a tumor of the pediatric age, with 50% of patients presenting at birth. The head and neck are the main affected sites (75%), while the retroperitoneal cavity is the least affected area, and comprises less than 1% of cases. Adult lymphangioma is an extremely rare tumor, and adult retroperitoneal lymphangioma (ARL) is even a rarer tumor. Over the last two decades, we have experienced a significant increase in reports published in the English literature discussing ARL. As reports have increased, several questions about previously known facts regarding this tumor arose: For years, it was known that ARL is usually an asymptomatic tumor which is incidentally found - is it a true claim? Is abdominal magnetic resonance imaging the radiological test of choice for diagnosis? What is the best therapeutic option? The main aim for this article is to review the current and old English literature concerning ARL, in order to collect data regarding demographic features, clinical presentation, imaging tests used for diagnosis, therapeutic options and follow-up. This in turn will give precise updated answers for the previous questions. In addition, it will raise awareness for the treating physician regarding the most effective approach for early diagnosis and best therapeutic option to be selected.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".