Physiological gas exchange mapping of hyperpolarized <sup>129</sup>Xe using spiral‐<scp>IDEAL</scp> and <scp>MOXE</scp> in a model of regional radiation‐induced lung injury
Bibliographic record
Abstract
Purpose To map physiological gas exchange parameters using dissolved hyperpolarized ( HP ) 129 Xe in a rat model of regional radiation‐induced lung injury ( RILI ) with spiral‐ IDEAL and the model of xenon exchange ( MOXE ). Results are compared to quantitative histology of pulmonary tissue and red blood cell ( RBC ) distribution. Methods Two cohorts (n = 6 each) of age‐matched rats were used. One was irradiated in the right‐medial lung, producing regional injury. Gas exchange was mapped 4 weeks postirradiation by imaging dissolved‐phase HP 129 Xe using spiral‐ IDEAL at five gas exchange timepoints using a clinical 1.5 T scanner. Physiological lung parameters were extracted regionally on a voxel‐wise basis using MOXE . Mean gas exchange parameters, specifically air‐capillary barrier thickness ( δ ) and hematocrit ( HCT ) in the right‐medial lung were compared to the contralateral lung as well as nonirradiated control animals. Whole‐lung spectroscopic analysis of gas exchange was also performed. Results δ was significantly increased (1.43 ± 0.12 μ m from 1.07 ± 0.09 μ m) and HCT was significantly decreased (17.2 ± 1.2% from 23.6 ± 1.9%) in the right‐medial lung (i.e., irradiated region) compared to the contralateral lung of the irradiated rats. These changes were not observed in healthy controls. δ and HCT correlated with histologically measured increases in pulmonary tissue heterogeneity (r = 0.77) and decreases in RBC distribution (r = 0.91), respectively. No changes were observed using whole‐lung analysis. Conclusion This work demonstrates the feasibility of mapping gas exchange using HP 129 Xe in an animal model of RILI 4 weeks postirradiation. Spatially resolved gas exchange mapping is sensitive to regional injury between cohorts that was undetected with whole‐lung gas exchange analysis, in agreement with histology. Gas exchange mapping holds promise for assessing regional lung function in RILI and other pulmonary diseases.
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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 | 0.000 | 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".