DETERMINATION OF THE ENHANCEMENT EFFECT AND DIAMETERS OF THE MAJOR ARTERIES OF AFRICAN GREY PARROTS USING A DUAL-HEAD POWER INJECTOR FOR COMPUTED TOMOGRAPHIC ANGIOGRAPHY
Bibliographic record
Abstract
The aim of the present study was to establish a computed tomographic angiography protocol using a dual-head power injector as well as measure the attenuation values and diameters of the major arteries in African Grey parrots (Psittacus erithacus). A 16-slice computed tomography (CT) scanner was used to measure the region of interest (ROI) in six major arteries. Before scanning, each bird underwent physical, blood, and cardiological examinations and were considered healthy. Each bird was sedated under general anesthesia during the CT-angiography (CT-A) procedure. A dual-head power injector with a saline chaser technique was used to administer the contrast medium and saline flush. We used a real-time bolus-tracking method and triggered the scan manually once the peak enhancement of ascending aorta was reached. All measurements were made by two double-blinded clinicians. The reference ranges before and after contrast medium administration via the body, pulmonary, and bone windows were set up accordingly. Inter-observer consistency in measurements was high in post-contrast values via the body window. Hence, the present study concluded that it is feasible to use saline chaser with dual-head power injector upon performing CT-A in parrots and analyze the image in a body window. Also, an anesthetic protocol during CT-A was also proved to be practical. However, further studies are needed to improve the diagnostic potential and utility of CT-A in parrots.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.001 | 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".