Macroaggregated albumin kits radiolabeled with cyclotron-produced [ <sup>68</sup> Ga]GaCl <sub>3</sub> for lung perfusion imaging in healthy pigs and preliminary studies toward radiolabeling with [ <sup>89</sup> Zr]ZrCl <sub>4</sub>
Bibliographic record
Abstract
Macroaggregated albumin (MAA) particles bearing a radioactive label are routinely used to assess the lung blood flow during the perfusion phase of ventilation/perfusion scans. Although originally developed for labelling with 99m Tc, MAA kits are also suitable for radiolabeling with [ 68 Ga]GaCl 3 . The presented study describes the suitability of solid target cyclotron-produced [ 68 Ga]GaCl 3 and [ 89 Zr]ZrCl 4 for the labelling of MAA kits. Cyclotron-produced [ 68 Ga]GaCl 3 was fully compatible with the preparation of [ 68 Ga]Ga-MAA; radiolabeled kits were successfully applied to lung blood flow evaluation in healthy pigs. Additionally, the suitability of [ 89 Zr]ZrCl 4 for labelling the MAA kits was also evaluated. [ 89 Zr]Zr-MAA was produced for the first time in good radiochemical yield, possessing high radiochemical purity and stability.
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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 | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".