Acute compartment syndrome in the pelvic limb of a cow following biopsy of a skeletal muscle-associated hemangiosarcoma
Bibliographic record
Abstract
CASE DESCRIPTION: A 6-year-old Holstein cow was examined because of chronic lameness and swelling near the stifle joint of the left pelvic limb. CLINICAL FINDINGS: A mass was palpated in the soft tissues lateral to the proximal aspect of the left tibia. Multiple attempts to obtain a biopsy specimen of the mass resulted in acute compartment syndrome of the femoral compartment (tensor fasciae latae and biceps femoris muscles) and lateral tibial compartment (cranial tibial and peroneus tertius muscles) with associated sciatic nerve paralysis. TREATMENT AND OUTCOME: Surgical decompression via tensor fasciae latae and biceps femoris incision resolved the sciatic nerve paralysis. On the fifth day following surgery, the cow began to develop signs of increased respiratory effort. Thoracic radiography revealed a pulmonary metastatic micronodular pattern. The cow was euthanized because its condition deteriorated. Metastatic hemangiosarcoma was confirmed at necropsy, and the primary tumor was the mass that was lateral to the tibia and within the biceps femoris muscle. CLINICAL RELEVANCE: Hemangiosarcoma should be considered a differential diagnosis for lameness in cattle when no orthopedic cause can be identified. Close patient surveillance is strongly recommended in the event that a vascular tumor is present because catastrophic consequences are possible. To our knowledge, this is the first report of acute compartment syndrome in a pelvic limb of a bovine patient and the only report of hemangiosarcoma in the skeletal muscle of cattle.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".