A rare case of huge aneurysmal bone cyst of the pelvis
Bibliographic record
Abstract
A 21-year-old female presented with a huge painful aneurysmal bone cyst (ABC) involving the left ilium, acetabulum, and ischium, resulting in a limp and activity limitation. After serial selective arterial embolization, intravenous bisphosphonates, and surgical curettage with bone grafting and cementing, she could achieve painless, nearly full range of motion at 2-year and 3-month follow-up with no recurrence. Her quality of life using the RAND 36-item Health Survey (version 1.0), the Musculoskeletal Tumor Society Scoring System (MSTS), and the Toronto Extremity Salvage Score indicated a good outcome. The aim of reporting this case was to show that it is safe to surgically approach a large pelvic ABC after devascularization with scleroembolic procedures augmented with intravenous bisphosphonates.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".