Synovial Lipomatosis With Extra-articular Extension in the Arthritic Wrist
Bibliographic record
Abstract
ABSTRACT: Synovial lipomatosis is a rare condition characterized by adipocyte proliferation within joint synovial tissue. It most commonly affects the knee and is typically intra-articular. Only 5 published case reports describe extra-articular synovial lipomatosis of the wrist. We present a case of a sexagenarian patient seen for his wrist arthropathy. His x-ray revealed pan-wrist arthritis and inflammatory soft tissue swelling. The patient was slated for a wrist fusion and Darrach procedure. Following the dorsal skin incision in the operating room, an unusual adipose mass was identified infiltrating all extensor compartments: midcarpal, radiocarpal, and distal radioulnar joints. The mass was excised and sent to pathology prior to proceeding with the slated surgery. Synovial lipomatosis was diagnosed postoperatively based on histopathology. Six weeks postoperatively, the wrist fusion had healed clinically and radiographically, and his pain had improved. There was no evidence of recurrence. Synovial lipomatosis is a rare entity that may imitate multiple other pathologies. It is possible that synovial lipomatosis may represent a secondary occurrence following degenerative articular disease or trauma in older patients. This is the first case report to date describing synovial lipomatosis of the wrist with extra-articular extension in the setting of pan-carpal wrist arthritis.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 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) | 0.005 | 0.002 |
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".