Superficial Femoral Vein Invasion by a Benign Neurofibroma in a Non-neurofibromatosis Patient: Case Report
Bibliographic record
Abstract
OBJECTIVE AND IMPORTANCE: Neurofibromas are benign neural sheath tumors arising from intraneural supporting cells. Such tumors are characteristic of neurofibromatosis Type I (von Recklinghausen disease) but also occur sporadically. Vascular involvement by neurofibromata is rare, but has been described in the past in the context of neurofibromatosis. There is, to our knowledge, no description of vascular involvement by a neurofibroma in a non-neurofibromatosis patient. CLINICAL PRESENTATION: A 40-year-old woman presented with a 4 year history of a right thigh mass associated with diffuse lower extremity pain. She had no other clinical manifestations of neurofibromatosis and no known family member with neurofibromatosis Type I. Magnetic resonance imaging scans revealed a well-defined solid mass in the anteromedial aspect of the right thigh closely associated with the superficial femoral vein. INTERVENTION: The vessel segment and encapsulated mass were resected "en bloc" after proximal and distal ligation of the vein. The pathological appearance of the mass was consistent with a benign neurofibroma that had infiltrated all layers of the vessel. CONCLUSION: Vessel invasion by a benign sporadic neurofibroma is a rare occurrence with potentially severe implications for the patient. It suggests that surgical removal of asymptomatic benign-appearing lesions of that type should be considered if they are adjacent to important anatomical structures.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".