Optimizing the Use of Iodinated Contrast Media: Conservation Strategies Used Across Canada During the 2022 Shortage
Bibliographic record
Abstract
A shortage of iodinated contrast media (ICM) used in contrast-enhanced CT exams led to the adoption of necessary conservation strategies across Canada. Conservation strategies included multidispensing from single-use and multiuse ICM bottles, diluting or reducing ICM dose volumes, switching to weight-based dosing from fixed-based dosing, lower tube voltage, performing unenhanced CT scans, using alternative imaging modalities, or prioritizing urgent cases. One of the more common alternative conservation strategies was to prioritize urgent cases for contrast-enhanced CT exams. Most medical imaging staff who responded to a national survey on ICM conservation strategies reported they would return to their regular doses used before the shortage despite little to no perceived effect on the contrast conspicuity of images or on patient adverse events with reduced ICM volumes. The ICM shortage represents an opportunity to reconsider ICM usage practices given environmental sustainability concerns with ICM and potential cost savings in reducing its use.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".