Giant Intramuscular Lipoma of the Gluteus: A Case Report and Literature Review
Bibliographic record
Abstract
Lipomas are benign tumors of mesodermal origin composed of mature adipocytes. They are classified into superficial and deep types located in the subcutaneous and subfascial locations respectively. The subfascial is further subdivided into 2 subtypes intermuscular and intramuscular. Presented was a 63 year old woman with a right sided swelling of the buttock in the past 7 months. Clinical, imaging and histologic evaluation resulted in the definitive diagnosis of a giant intramuscular lipoma of the gluteus. The lesion was well circumscribed with a defined pseudo capsule an indication of a benign disease with minimal risk of recurrence when compared to the infiltrative type. Giant intramuscular lipoma should be considered as a differential diagnosis of a gluteal mass. CT scan was useful in the preoperative diagnosis that included the nature of the tumor due to the low attenuation of fat, homogenous echogenicity, well defined capsule that were in favour of a benign lesion than malignancy. This was in addition to the extent of the tumour. Surgical excision provided the definitive diagnosis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".