Hyperpolarized <sup>129</sup>Xe imaging of embryonic stem cell‐derived alveolar‐like macrophages in rat lungs: proof‐of‐concept study using superparamagnetic iron oxide nanoparticles
Bibliographic record
Abstract
Purpose To measure regional changes in hyperpolarized 129Xe MRI signal and apparent transverse relaxation ( ) because of instillation of SPION‐labeled alveolar‐like macrophages (ALMs) in the lungs of rats and compare to histology. Methods MRI was performed in 6 healthy mechanically ventilated rats before instillation, as well as 5 min and 1 h after instillation of 4 million SPION‐labeled ALMs into either the left or right lung. maps were calculated from 2D multi‐echo data at each time point and changes in were measured and compared to control rats receiving 4 million unlabeled ALMs. Histology of the ex vivo lungs was used to compare the regional MRI findings with the locations of the SPION‐labeled ALMs. Results Regions of signal loss were observed immediately after instillation of unlabeled and SPION‐labeled ALMs and persisted at least 1 h in the case of the SPION‐labeled ALMs. This was reflected in the measurements of . One hour after the instillation of SPION‐labeled ALMs, the decreased to 54.0 ± 7.0% of the baseline, compared to a full recovery to baseline after the instillation of unlabeled ALMs. Histology confirmed the co‐localization of SPION‐labeled ALMs with regions of signal loss and decreases for each rat. Conclusion Hyperpolarized 129Xe MRI can detect the presence of SPION‐labeled ALMs in the airways 1 h after instillation. This approach is promising for targeting and tracking of stem cells for the treatment of lung disease.
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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) | 0.001 | 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".