Spontaneous emphysematous splenitis: Radiographic and ultrasonographic findings in three Golden Retriever dogs
Bibliographic record
Abstract
Spontaneous emphysematous splenitis is a life-threatening condition reported rarely in humans; however, published reports in dogs are currently lacking. The aim of this multicentric, retrospective, case series design study was to describe radiographic and ultrasonographic imaging findings in Golden Retriever dogs diagnosed with spontaneous emphysematous splenitis. A total of three dogs were sampled. All dogs had a history of lethargy, diarrhea, and weight loss. Radiographic findings in all dogs included a mass effect with focal or multifocal coalescing "vesicular-like" gas pattern in the splenic region and focal loss of serosal detail. Ultrasonographic findings in all dogs included focal or multifocal irregularly shaped, hypoechoic areas containing a mixture of hyperechoic fluid and gas within the splenic parenchyma, hyperechoic abdominal free fluid, and generalized hyperechoic mesenteric fat without evidence of splenic torsion. Pneumoperitoneum was detected ultrasonographically and radiographically in two dogs. All three dogs underwent splenectomy and splenic torsion was definitively ruled out at surgery. One dog died three days after surgery, whereas the other two dogs recovered uneventfully. Culture of the splenic tissue and free abdominal fluid was positive for Clostridium spp. in all three cases. Findings supported inclusion of spontaneous emphysematous splenitis and septic peritonitis as differential diagnoses for dogs with this combination of clinical and imaging characteristics.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".