MultiHance as a contrast alternative for Gadovist allergic patients
Bibliographic record
Abstract
The dramatic rise in the use of contrast agents for diagnostic imaging within the last decade has largely contributed to the effectiveness of MR imaging, however even with the use of prophylaxis, adverse reactions to contrast, including anaphylaxis, still occur. We describe the case of a 46-year-old female patient with a hemangiopericytoma requiring ongoing contrast MR surveillance, and a documented anaphylactic reaction to Gadovist (gadobutrol injection) despite premedication. Allergy testing was positive to intradermal undiluted Gadovist, confirming an IgE-mediated Gadovist allergy, with subsequent skin testing by prick and intradermal negative to undiluted MultiHance. She went on to receive MultiHance prior to her subsequent MRI scans without clinical reaction and without premedication, demonstrating that there may be superior alternatives to traditionally used gadolinium dyes in patients with moderate to severe reactions, and warrants further investigation into the anaphylactoid characteristics between the different gadolinium-based contrast agents.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".