Use of ultrasonography to diagnose large colon volvulus in horses
Bibliographic record
Abstract
OBJECTIVE: To describe the use of ultrasonography to diagnose large colon volvulus (LCV) in horses. DESIGN: Descriptive report. ANIMALS: 4 horses with clinical signs of abdominal pain. PROCEDURE: Each horse was administered analgesic agents for pain control and placed in stocks. Ultrasonographic evaluations were performed with a 3.5-MHz sector scanning transducer that was placed parallel to the long axis of the horse (longitudinal imaging) over an area of the left ventral aspect of the abdomen. The boundaries of the evaluated region included the ventral midline, 2 vertical lines at the level of the left 10th and 17th intercostal spaces, and a horizontal line between the 2 vertical lines at the level of the costal arch of the left 10th intercostal area. RESULTS: In all horses, nonsacculated large colon was identified ultrasonographically in the left ventral portion of the abdomen; this finding was considered indicative of LCV. In 3 horses, the LCV involved intestinal rotation of 180 degrees, whereas in 1 horse, the LCV involved intestinal rotation of 540 degrees. As confirmed by surgical or postmortem findings, the degree and location of the volvulus were correctly estimated from ultrasonographic images. CONCLUSIONS AND CLINICAL RELEVANCE: In horses, this method of diagnosis of LCV appears to be of value regardless of the location at which the rotation of the large colon occurs. Ultrasonographic findings may aid in the earlier diagnosis of LCV in horses, especially at an early stage of the disease when other clinical signs are equivocal.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".